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ID","task status","tenure","tenure in months","updated at","URL","verified","volunteering"]},"same":["api","strengths","waterfall","addons","catchAllPerThousand","bounceRefund","history"],"facets":["defaults","provider","price","fields","billing","who","freshness","use","answer","paysFor"],"ties":{"Employee search":{"tied":["AnyAPI, top-up from $10","AnyAPI, top-up from $10, Manual top-up","Anysite, $300 monthly","Anysite, $300 monthly, Scale","Captain Data, $412 monthly","Captain Data, $412 monthly, Bronze, 10,000 credits / month","Datamagnet, $10 pack","Datamagnet, $10 pack, Trial","Edges, $440 monthly","Edges, $440 monthly, SILVER, 20,000 credits / month","Enrich.so, $149 monthly","Enrich.so, $149 monthly, Scale","EnvoAPI, $49 monthly","EnvoAPI, $49 monthly, Launch","HarvestAPI, $280 pack","HarvestAPI, $280 pack, Pro","InsightSocial, $2 pack","InsightSocial, $2 pack, 250 credits","NeuralVerge, $50 monthly","NeuralVerge, $50 monthly, Base","RichAPI, $450 pack","RichAPI, $450 pack, Growth","Saber, contact us","ScrapeLi, $300 monthly","ScrapeLi, $300 monthly, Monthly 100,000 credits","Scrupp, $499 monthly","Scrupp, $499 monthly, 100,000 credits / month","SocialCrawl, £299 pack","SocialCrawl, £299 pack, Pro","Up2Data, $200 pack","Up2Data, $200 pack, 100K","Up2Data, $200 pack, 100K, POST /v1/batch","Up2Data, $200 pack, 100K, POST /v1/batch, 100,000 credits","Vayne, $49 monthly","Vayne, $49 monthly, Starter","WizLeads, $449 quarterly","WizLeads, $449 quarterly, Cartel","WizLeads, $449 quarterly, Cartel, POST /tasks/add","WizLeads, $449 quarterly, Cartel, POST /tasks/add, 300,000 credits a quarter"],"movedPages":{"HarvestAPI, $280 pack, Pro, GET /linkedin/lead-search":"/linkedin-people-search-apis/harvestapi/280-pack","WizLeads, $449 quarterly, Cartel, POST /tasks/add, Create Task":"/linkedin-people-search-apis/wizleads/449-quarterly"},"canonicals":{"AnyAPI":"free-trial-key-post-v1-run-linkedin-company-employees","Anysite\nPOST /api/linkedin/search/users":"free-trial-post-api-linkedin-search-users","Anysite":"free-trial-post-api-linkedin-company-employees","Bridgly":"free","Bright Data":"free","Bytemine":"pay-as-you-go","Captain Data":"free-trial-100-credits-get-companies-company-uid-employees","Datamagnet\nPOST /salesnavigator/search":"free-10-free-credits-post-salesnavigator-search","Datamagnet":"free-10-free-credits-post-people-search-search","Derrick":"47-50-monthly","Edges":"free-tier-100-credits-post-actions-linkedin-search-company-employees-run-live","Enrich.so":"free-free-post-people-search-waterfall-icp-search","EnrichmentAPI":"free","EnvoAPI":"free-free-get-v1-companies-people","Findymail":"free","Generect":"free-to-start-post-api-v1-search-realtime-leads","HarvestAPI":"free","InsightSocial\nGET /v1/linkedin/search/people/by-url":"free-free-get-v1-linkedin-search-people-by-url","InsightSocial":"free-free-get-v1-linkedin-company-people","NeuralVerge\nPOST /functions/v1/run-linkedin-people-search":"50-monthly-base-post-functions-v1-run-linkedin-people-search","NeuralVerge":"50-monthly-base-post-functions-v1-run-linkedin-company-employee","pipe0":"top-up-from-10","Ploid":"free","Renidly":"free","RichAPI\nPOST /linkedin_company_employees_search":"free-sandbox-post-linkedin-company-employees-search","RichAPI":"free-sandbox-post-lead-search","Saber":"contact-us-launch","ScrapeLi":"13-50-pack-pay-as-you-go-3000-credits-post-company-employees-orders","Scrupp":"free-free-post-linkedin-search","Serpent API":"free","Social Fetch":"free","SocialCrawl":"free-free-get-v1-linkedin-company-people","Up2Data\nPOST /v1/batch\nCreate a batch job (search.people.standard)":"25-pack-10k-post-v1-batch-create-a-batch-job-search-people-standard","Up2Data":"25-pack-10k-post-v1-batch-create-a-batch-job-search-people-sales-nav","Vayne\nPOST /api/find_people":"49-monthly-starter-post-api-find-people","Vayne":"49-monthly-starter-post-api-orders","WizLeads":"39-monthly","Zooq":"free"}}},"shared":[],"notes":{"name":"The row's name, unique on the sheet: the provider, then the plan's price, like \"API Builderz, $50 monthly\", \"HarvestAPI, $280 pack\", \"Crawlbase, pay as you go\", \"Bright Data, top-up\" (a prepaid balance of any amount), \"AnyAPI, top-up from $10\" (a balance you top up by $10 or more), \"free\" or \"contact us\". If two plans share a price, we add the plan's name, then the call's method and path, its units and the call's name, until no two rows share a name. We build the name for the sheet and leave it out of the sheet's CSV and JSON. datacircle.json and datacircle.csv have the name from its API's sheet.","api":"This column names each row's API. \"Employee profile\" returns a person's LinkedIn profile, on LinkedIn profiles. \"Cached employee profile\" returns it from the provider's copy of LinkedIn, on Cached LinkedIn profiles, which lists the LinkedIn profile plans whose Freshness says a copy. \"Employee email\" finds a person's work email, on Find email. \"Cached employee email\", on the Find cached email sheet, finds a person's work email in the provider's stored data. \"Email validation\" checks whether an address takes mail, on Validate email. On the Cached email validation sheet, \"Cached email validation\" may answer from data the provider keeps, without asking the mail server. \"Employee phone\" finds a person's phone number, on Find phone. \"Cached employee phone\", on the Find cached phone sheet, finds a person's phone number in the provider's stored data. \"Company profile\" returns a company's LinkedIn page, on LinkedIn company profiles. \"Cached company profile\", on the Cached LinkedIn company profiles sheet, returns a company's LinkedIn page from the provider's copy of LinkedIn. \"Company headcount\" counts a company's staff, on its own sheet. \"Cached company headcount\", on the Cached company headcount sheet, counts a company's staff from the provider's stored data. \"Phone validation\" checks whether a phone number is valid, on Validate phone. \"Cached phone validation\", on the Cached phone validation sheet, checks a phone number against data the provider has stored. \"Post comments\" returns the comments on a LinkedIn post, on LinkedIn post comments. \"Post reactions\" returns who reacted to a LinkedIn post and how, on LinkedIn post reactions. \"Employee lookalikes\" returns people similar to the one you send, on Similar people. On the Cached similar people sheet, \"Cached employee lookalikes\" returns similar people from a copy the provider keeps. On the Similar companies sheet, \"Company lookalikes\" returns companies similar to the company you send. On the Cached similar companies sheet, \"Cached company lookalikes\" returns similar companies from a copy the provider keeps. \"Company technologies\" returns the tools a company uses, on its own sheet. \"Cached company technologies\" returns the tools a company uses, from a copy the provider saved earlier. \"Company job count\" counts the jobs a company has open on LinkedIn, on its own sheet. \"Employee posts\" returns a person's LinkedIn posts, on LinkedIn person posts. \"Company posts\" returns a company's LinkedIn posts, on LinkedIn company posts. \"Cached employee posts\" and \"Cached company posts\", on Cached LinkedIn person posts and Cached LinkedIn company posts, return them from the provider's copy of LinkedIn. \"Company funding\" returns a company's funding rounds, on its own sheet. \"Cached company funding\", on the Cached company funding sheet, returns them from the provider's stored data. \"Company jobs\" returns the jobs a company has open, on Company open jobs. On the Cached company open jobs sheet, \"Cached company jobs\" returns a company's open jobs from a copy the provider keeps. \"Employee search\" finds people by job title, company and place, on LinkedIn people search. \"Cached employee search\", on the Cached LinkedIn people search sheet, finds people in the provider's copy of LinkedIn. \"Company search\" finds companies by industry, size and place, on LinkedIn company search. \"Cached company search\" finds companies by industry, size and place in the provider's copy of LinkedIn. It is on the Cached LinkedIn company search sheet. \"Job search\" finds jobs by title, company and place, on LinkedIn job search. \"Cached job search\" finds jobs by title, company and place in a copy of LinkedIn's jobs. It is on the Cached LinkedIn job search sheet. \"Reverse email lookup\" finds the person behind an email, on its own sheet. \"Cached reverse email lookup\" finds who owns an email address in data the provider already holds. It is on the Cached reverse email lookup sheet. \"Post search\" finds posts by keyword, on LinkedIn post search. \"Cached post search\" finds posts by keyword in a copy of LinkedIn posts. It is on the Cached LinkedIn post search sheet. \"Post details\" returns a post from its URL or ID, on LinkedIn post details. \"Job details\" returns a job from its URL or ID, on LinkedIn job details. \"Employee comments\" returns the comments a person left on posts, on LinkedIn person comments. On the Cached LinkedIn person comments sheet, \"Cached employee comments\" returns a person's comments from a copy the provider keeps. \"Employee reactions\" returns the posts a person reacted to, on LinkedIn person reactions. \"Post reposts\" returns the people who reposted a LinkedIn post, on LinkedIn post reposts. \"Employee recommendations\" returns the recommendations on a person's LinkedIn profile, on LinkedIn person recommendations. \"Job lookalikes\" returns jobs similar to the one you send, on Similar jobs. \"Employee articles\" returns a person's LinkedIn articles, on LinkedIn person articles. \"Company enrichment\" returns a company's profile from the provider's own database, on Company enrichment. \"Cached company enrichment\", on the Cached company enrichment sheet, returns a company's profile from the provider's stored data. \"People search\" finds people in the provider's own database. \"Cached people search\", on the Cached people search sheet, finds people in the provider's stored data. \"Company discovery\" finds companies in the provider's own database. \"Cached company discovery\", on the Cached company discovery sheet, finds companies in the provider's stored data. \"Job postings\" finds job postings in the provider's own database. \"Cached job postings\", on the Cached job postings sheet, finds job postings in a copy the provider keeps. \"Job posting details\" returns a job posting from its ID. On the Cached job posting details sheet, \"Cached job posting details\" returns a job posting from a copy the provider keeps. \"Person enrichment\" returns a person's profile. On the Cached person enrichment sheet, \"Cached person enrichment\" returns a person's profile from a copy the provider keeps. \"Leadership changes\" returns the new hires, promotions and departures in a company's senior roles. \"Cached leadership changes\" returns a company's leadership changes from a copy the provider keeps. \"Company hierarchy\" returns a company's parent companies and subsidiaries. Pick an API from the GTM APIs list on the left of the sheet. Pick \"All GTM APIs\" in the GTM APIs list to see every API in one sheet. We name each folder in the zip after its API.","score":"We score each plan out of 100 on five parts: price, data, cost to get started, bundled calls and performance. We score data and performance from our benchmark of the provider's call. Until we benchmark the call, the plan's data, performance and Overall scores are N/A. A plan whose data score is 0 has an Overall score of 0, whatever its other scores. Each API's sheet shows what we measured on each benchmarked plan, in the columns after its price. We rank a plan's price per 1,000 against the price per 1,000 of its API's other scored plans. We score cost to get started and bundled calls on the plan alone. We give N/A to yearly and contact us plans, plans over $500 to start, plans bought on a marketplace and plans that need your own LinkedIn account. A free plan gets N/A unless it has no limit and the provider has no paid plan for that call. Then we score it. Click Score in the sheet's bar to set the five weights. The JSON, datacircle.json and datacircle.csv give each plan's score at the default weights. A plan with N/A has an empty score there. The sheet's CSV has no scores.","Price score":"The plan's price score out of 100. We rank the plan's $ per 1,000 against the $ per 1,000 of the other scored plans of its API. We also count the cost of a call that finds nothing. Some plans give no $ per 1,000. For those plans, when each call returns one result, we use the price our benchmark paid per call. We scale that price by what a credit costs on the plan. We skip our benchmark's price for a plan if another paid plan for the same call lists its own $ per 1,000. Plans for one call can each charge a different price per call. On the sheet, hover over or tap the score to see how we worked it out.","Data score":"The plan's data score out of 100, from our benchmark of its provider's call: how complete the call's answer is, or how often it is right, depending on the API. Until we benchmark the call, the score is N/A, and so is the Overall score. On the sheet, point at the score to see how we scored it. Each API's sheet shows what we measured on each benchmarked plan, in the columns after its price.","Cost to get started score":"The plan's score out of 100 for getting your first result: who can get it, how you pay, and the least you pay before it. On the sheet, point at the score to see why.","Bundle score":"The plan's score out of 100 for the other calls its price gets you, as its pages list them under Also pays for. On the sheet, point at the score to see why.","Performance score":"The plan's performance score out of 100, from our benchmark of its provider's call. We divide the fastest benchmarked provider's median time by this provider's median time. A median under 0.1 s counts as 0.1 s, since the baseline we take off varies by about that much. The Performance score and the Overall score are N/A until we benchmark the call. If the call gave no answer we could time, the Performance score is N/A and the Overall score counts it as 0. The Performance score is N/A if we timed no other call in the same benchmark. The Overall score then leaves Performance out. On the sheet, point at the score to see how we scored it. Each API's sheet shows what we measured on each benchmarked plan, in the columns after its price.","perThousand":"The price of 1,000 people on this plan, in dollars. It is 0 on a free plan. On a plan that charges by the page, we divide 1,000 by the most people one page holds. We round that up to whole pages and add up what the pages cost. We leave it blank when the provider doesn't say how many people a page holds. On a flat fee, we take the most people the plan allows in one month and multiply by the number of months the fee covers. We divide the fee by that total. Then we multiply by 1,000. We leave it blank when the provider doesn't say how many people the plan allows. On a flat fee with no cap on people, the sheet shows \"no limit\", and the CSV and JSON leave it blank. On a waterfall's paid plan, we show the average cost of a call. We take the price of each provider listed under Waterfall. We weight each price by how often a call reaches that provider. We leave it blank when the waterfall doesn't list a hit rate or a page size for a provider a call can reach. On a plan with a Monthly fee, we first subtract one month of the fee from the plan's units. Then we divide the plan's price by the number of people the remaining units buy. Then we multiply by 1,000. We leave it blank when the Monthly fee uses up all the plan's units. Some plans limit calls per day or per month. If that limit allows fewer people than the units pay for, we divide the plan's price by the people the limit allows, and multiply by 1,000. We leave it blank on a top-up, because a top-up buys no fixed number of people. We also leave it blank when the provider's website doesn't say what a person costs on this plan, or how many people the plan's price buys.","billing":"How you pay: \"free\", \"on-demand\" (you pay for what you use, with nothing to buy first), \"one-time\" (a pack or a top-up you pay for first, then use), \"contact\" (no public price: you ask the provider for one), or a subscription: \"monthly\", \"quarterly\" (every three months), \"half-yearly\" (every six months) or \"yearly\". The sheet shows \"one-time\" as \"pay first\" and \"on-demand\" as \"pay as you go\".","perMonth":"On a subscription: its price for one month in dollars, its Pay divided by the months it buys (termMonths), 12 on most yearly plans. We work it out for the sheet, to the cent. We leave it out of the sheet's CSV and JSON, and datacircle.json and datacircle.csv have it. Blank (null) on every other plan.","notFoundPerThousand":"Dollars for 1,000 searches that find no one. 0 when the provider charges nothing for them, as on free plans. On a waterfall, the cost of a call when no provider finds the answer: the sum of the prices of the providers that charge for a miss.","strengths":"The plan's strengths, which we work out from its row: each one is a band that many plans of its API are in. Each API has its own strengths, listed and explained under Strengths on datacircle.dev/fields, and Validate email, Find phone, Validate phone, LinkedIn company profiles, Company headcount, LinkedIn post comments, LinkedIn post reactions, Similar people, Similar companies, Company technologies, Company job count, LinkedIn person posts, LinkedIn company posts, Company funding, Company open jobs, LinkedIn people search, LinkedIn company search, LinkedIn job search, Reverse email lookup, LinkedIn post search, LinkedIn post details, LinkedIn job details, LinkedIn person comments, LinkedIn person reactions, LinkedIn post reposts, LinkedIn person recommendations, Similar jobs, LinkedIn person articles, Company enrichment, People search, Company discovery, Job postings, Job posting details, Person enrichment, Leadership changes and Company hierarchy have none yet. Cached LinkedIn profiles and Find cached email have the strengths of LinkedIn profiles and Find email, but never \"read live\" or \"found live\". The other cached sheets have none yet. Blank ([] in the JSON) when the plan has none, and we leave Strengths off its page. Under Filters, you see only the rows with every strength you tick.","aggregators":"Aggregators like treg and Deepline sell the row's call. With one aggregator account, you reach many providers. Each cell says what a call costs through the aggregator with your own provider key. It also says what 1,000 people cost when you pay the aggregator and have no account at the provider: \"treg: your key free, paid $1.50\". We add \"per 1,000 results\" when the aggregator charges per person it finds, and say \"paid, no fixed price\" when the aggregator publishes no price. For an aggregator that charges by the page, we take the largest page size and price the full pages you need for 1,000 results. We write \"paid, page size not stated\" when the aggregator doesn't say how many results a page holds. We write \"listed, how it's sold not stated\" when the aggregator lists the call but doesn't say if you pay the aggregator or use your own key. When the aggregator sells one of the provider's calls without saying which, the cell ends with \"this call or another\", the provider's name and \"call\": \"this call or another Pubrio call\". A cell says \"none\" when no aggregator we checked for the row's API sells the call. A blank cell (null in the JSON) means we haven't checked any aggregator for that API. We skip calls an aggregator doesn't list. In the JSON, each aggregator has these keys. aggregator is its name. url is its page for the call. ownKey is what a call costs there with your own key, or null when you can't use yours. paid is true when you can pay the aggregator. paid and ownKey are both null when the aggregator doesn't say how it sells the call. callStated is false when the aggregator sells this call or another of the provider's and doesn't say which. usd is its price in dollars for one per, or null when it sets no price. perThousand is its price in dollars for 1,000. per is \"call\", \"result\" or \"page\". resultsPerPage is the most results a page holds, or null. So far we have read AnyAPI, Clay, ColdIQ, Databar, Deepline, Monid, Orthogonal, PayPerQ, RouterGrowth and treg.","waterfall":"Some routers, like treg's, try one provider after another until one finds the person. On a router's call, the Waterfall column lists each provider the router tries, in order. Each provider shows the router's name for its call in brackets. Then comes its price per 1,000 on this plan, then how often it finds the person. We add \"misses billed\" when the provider charges for a miss. For a provider that charges by the page, we count the full pages that hold 1,000 results at the largest page size, and we write \"page size not stated\" when the provider doesn't say how many results a page holds. The router publishes how often each provider finds a person over all its calls. We assume each provider finds people at that same rate on the calls the earlier providers miss. We leave the Waterfall column blank on calls with a single provider. In the JSON, each step has these keys. provider is the provider's name. call is the provider's call, which you can also make on its own. perThousand, per and resultsPerPage mean the same as on a plan's row. hitRate is from 0 to 1, or null when the router gives none. missesBilled is true when the provider charges for a miss.","repeatFree":"On a call that costs units: how long you can get a person again free on this plan after you pay for it. On a flat fee with a daily or monthly limit: how long you can get a person again without using up the limit after you first get the person. We copy it from the provider's pages, like \"20 minutes\". \"no limit\" means the provider never charges again for a person you paid for once. \"never\" means the provider says it charges each time you get the person again. Blank when the provider's pages don't say.","per":"The price counts a \"call\" or a \"result\". A call asks for one person. A result is each person a call returns. Some calls return a page of results: a post's comments, reactions or reposts, a person's or company's posts, a person's articles, comments or reactions, a company's open jobs, the people, companies, jobs or posts a search finds, or people, companies or jobs similar to the one you send. \"result\" counts each person on the page. \"page of 50\" counts each page, and you pay for a whole page even when it holds fewer than 50. resultsPerPage is the most people a page holds. It is null when the price doesn't count pages or the provider doesn't say the page size. \"page, size not stated\" means the provider doesn't say how many people a page holds.","resultsCap":"For a search API, the most results you can get from one search on this plan, however many pages you ask for. \"no limit\" when the provider says you can get every match. Blank (null in the JSON) when the provider's docs don't say, or when the API isn't a search.","startPerCall":"A fee in dollars you pay once for each call, on top of the price per person, like an Apify Actor's start fee. You pay the same fee for a call of 1,000 people or a call of one person. We leave this fee out of the $ per 1,000. It is $0.00 on a free plan. It is blank when the plan has no start fee. Some providers' pages give a range, like \"2-3 credits\". When the page gives a range, startPerCall is the lowest fee and startPerCallMax is the highest. The sheet and the CSV show \"$0.04 to $0.06\". startPerCallMax is blank on a plan with one start fee or none.","monthlyFee":"A monthly fee the call needs. The provider takes it from the plan's units. For example, RouterGrowth charges $9.625 a month for each LinkedIn account you connect. monthlyFee is the fee in dollars. monthlyFeePer is what one fee pays for, like \"LinkedIn account\". The Enough for and $ per 1,000 columns count what is left after one month of the fee. Blank (null in the JSON) when the call has no monthly fee.","extras":"Fields that cost more. Each has its fields and its perThousand on top of the row's.","Also pays for":"The other calls you get for the plan's price. Each has its own limit. We use the provider's words. When a plan pays for more than 40 other calls, we write their count instead, like \"300 other calls\". We leave out apps, extensions, MCP servers, proxies and storage, since they are not calls. We also leave out features you can use only in the provider's app, like sending its email campaigns. For example, gtm-api.com's account price also buys 100 searches, 50 messages and 25 connection requests a day. \"nothing\" when you get only the row's call. The row's $ per 1,000 is for that call alone, since providers don't say how to split their price. Blank (null in the JSON) until we read the provider's plan. Also blank on a \"contact\" plan whose pages don't say what its price buys.","overagePerThousand":"On a subscription: dollars for each 1,000 people you get past the plan's units, when the provider sells extra people.","addons":"On an email API's subscription: the packs of units the provider sells on top of the plan, as its pricing page lists them. Each has its units, its pay in the plan's currency, when it renews (\"month\" or \"year\" when you pay for it again with the plan, \"never\" when you buy it once), and its perThousand, dollars for 1,000 emails at its price. The sheet's CSV says \"500 credits a month for $10 ($20.00 per 1,000)\". An empty list when the provider sells none. Blank (null) on every other plan.","catchAllPerThousand":"On an email API: dollars for 1,000 calls that return an address at a catch-all domain. Such a domain takes mail for any address, so you can't check whether the person's mailbox exists, and the email may bounce. 0 when they cost nothing, or when the provider returns no such address. The same as the row's $ per 1,000 when the provider charges for any address it finds. Blank when its pages don't say.","bounceRefund":"On an email API: the credit or refund the provider gives when an address it charged you for bounces, and the conditions, in its pages' words, like \"the credit, reported from the dashboard or the API and reviewed\". \"never\" when its pages say a bounced address stays charged. Blank when they don't say.","pitch":"How the provider sells the row's call, quoted from the call's own page, or the provider's own pitch when one page covers all its calls. \"[...]\" marks a cut.","freshness":"How old the answer may be, from the provider's pages. \"live\": the provider reads LinkedIn, the company's website or its job board, or finds or checks the email or phone number, when you call. A plan is \"live\" too when the provider keeps each answer for an hour or less and gives it again to anyone who asks the same question in that time. Renidly keeps each answer for 20 minutes. \"1 month\" or \"30 days\": the provider answers from a copy it refreshes that often. \"as of 2025-11-13\": from a copy last refreshed that day. \"stored\": from a copy the provider's pages don't date. We also mark an email or phone check \"stored\" when it reads only the format, the domain's DNS and the provider's own lists. That check never asks the mail server or the carrier. We leave it blank (null in the JSON) when the provider's pages don't say how fresh the answer is, or don't agree with each other. The cached sheets are Cached LinkedIn profiles, Find cached email, Cached LinkedIn company profiles, Cached company headcount, Cached company enrichment, Cached people search, Cached company discovery, Cached company funding, Cached email validation, Cached LinkedIn people search, Find cached phone, Cached reverse email lookup, Cached LinkedIn job search, Cached LinkedIn company search, Cached LinkedIn post search, Cached company technologies, Cached phone validation, Cached LinkedIn person posts, Cached LinkedIn company posts, Cached job postings, Cached leadership changes, Cached person enrichment, Cached similar people, Cached similar companies, Cached company open jobs, Cached LinkedIn person comments and Cached job posting details. We put a plan on its API's cached sheet when the plan's Freshness says the provider answers from a copy. We put every other plan on its API's own sheet. In brackets, we list the fields whose freshness differs on the provider's pages. fieldFreshness gives each of them its own freshness. Bright Data's LinkedIn profile is \"live (current title, jobs, schools: as of 2025-11-13)\", since LinkedIn put those three behind its login wall and Bright Data serves them from its cache.","history":"How far back the answers reach, on an API whose answers are dated, such as a company's funding rounds or its open jobs. \"since 2016\": back to 2016. \"open only\": only what is open now. \"the last 7 days\": a window that ends today. \"no limit\": every one ever. \", closed only\" after it: the closed ones alone. Blank (null in the JSON) when the provider's pages don't say, or when the answers aren't dated.","keep":"How long the provider's terms let you keep its API's answers. \"no limit\" when they set none. \"no API terms\" when the provider has no API terms.","use":"What the provider's terms let you use its API's answers for, and what they ask in return, like a link back or a credit. \"any\" when they limit nothing and ask nothing. \"no API terms\" when the provider has no API terms.","pay":"The plan's price, in its currency. On a subscription, the price covers the months in termMonths. In the sheet's CSV, we write the months after the price: \"$39.00/month\", \"€99.00/month\" on a plan in euros, or \"$468.00/15 months\" on gtm-api.com's yearly plan. A pack's Pay is its price. A top-up's Pay is the smallest amount you can top up. On a top-up with no minimum from the provider, Pay is blank (null in the JSON). A free plan's Pay is $0.00. On a usage tier, Pay is what you pay each month for your calls below that tier. Each of those calls costs the price of its own tier. Some tiers have a minimum. If your calls below the tier cost less than the minimum, you pay the minimum. When a usage tier sits on a subscription, you also pay the plan's price. Crawlbase has a tier for the next 10M requests. On that tier, Pay is $583: what you pay each month for your calls below it. On Mailgun's Foundation plan, you pay $95 a month for up to 5,000 validations: the $35 plan plus $60 for the validations. On a pay-as-you-go plan, the sheet's Pay column shows Charged.","units":"What the plan gives for its price, counted in unit. On a usage tier, where the tier starts: \"from the 51st call a month\".","calls":"The number of people you get for the plan's price, counted in per. A call and a result are each one person. On a plan that charges by the page, calls and monthlyCap count pages. calls is the number the plan's units pay for: \"100 calls, once\" for a free trial, \"1,250 results a month\" for an allowance. Some plans limit calls per day or per month. On those plans, calls is the most calls the limit allows before the units renew. This counts each call as one person or one page. A plan with 10,000 requests a month and a limit of 200 calls a day gives you 6,000 calls a month. monthlyCap is for a call that costs 0 units, like a call on a flat fee. monthlyCap is the most people you get a month, or \"no limit\". On a plan that limits calls per day or per month, monthlyCap is the most calls the limit allows in 30 days: 90,000 for 3,000 calls a day. The Enough for column shows 3,000 calls a day as \"90,000 calls a month\". On a free trial shorter than 30 days, monthlyCap is the most calls the plan allows over the whole trial. The trial gives these calls one time only. A 7-day trial with 1,000 calls a day shows as \"7,000 calls, once\". Enough for shows calls, or monthlyCap when a row has no calls. On a plan with a Monthly fee, calls is the number of calls left after the provider takes one month's fee from the plan's units. We count the calls again each time the provider refills the plan's units. Enough for says \"0 calls left after the monthly fee\" when the fee uses up all the plan's units. Enough for is blank when the provider doesn't say how many people you get. Enough for is also blank on pay as you go plans, on top-ups, and on subscriptions that charge for each person on top of the fee. Enough for is also blank when a waterfall's average call costs nothing. calls and monthlyCap are null when Enough for is blank.","expires":"When the units you don't use lapse, in the provider's words: \"never\", \"365 days\", \"at renewal: unused credits do not carry over\". Blank when its pages don't say.","perDay":"The most calls a day.","perSecond":"The most calls a second you can keep up. When the provider counts a limit over a longer window, we divide it: a limit per minute by 60, per 5 minutes by 300, per hour by 3,600. When it sets several, we show the tightest: 25 a second and 40 a minute is 0.67. We round it to two decimals, and a rate under 0.1 to two digits past its zeros: 5 an hour is 0.0014.","concurrent":"The most calls running at once, or \"no limit\". \"n/a\" when the provider sets no cap on calls at once but limits them by the second: its \"Per second\" limits you. Blank (null) when the provider's pages don't say.","batch":"The most searches one call takes on this plan. 1 when it takes one at a time. \"no limit\" when the provider says a call takes any number. Blank (null) when a call takes a list and the provider's pages don't say how long.","answer":"The way you get the call's answer. \"in the call\" when the call's response holds the answer. \"by polling or webhook\" when the call returns a job. Once the job is done, you get the answer from another call or at your webhook. \"in the call or by polling\" when the call returns the answer if it is ready in time. If it isn't ready, the call returns a job you check later. An Apify Actor returns a job when it runs past 5 minutes. \"in the call or by webhook\" when you choose in your request. \"by polling\" when only another call gets the answer. \"by webhook\" when only a URL you give gets the answer. Blank (null) when the provider's pages don't say.","latencyMs":"The median time a call takes. If we benchmarked the row's call, we show our benchmark's median, as in its API's benchmark columns: each call's time minus the mean time of three free calls to the same provider before it. If that mean is longer than the call, we use the provider's median baseline, capped at the call's time, so no time is below zero. For other rows, it is the time the provider's pages give, or one we measured when we added the row. Blank (null) when we have neither, or when we benchmarked the call and it gave no answer we could time. Milliseconds in the JSON and datacircle.csv, seconds on the sheet and in its CSV.","send":"What you give the call: filters such as a job title, a company or a place. The call needs the inputs before \"Optional:\". The optional ones come after it, or after a semicolon in the CSV and the JSON.","method":"The call's HTTP method.","path":"We give the path from the provider's docs. When that path fails, we give the path that works. Each plan of a call has the same path. A plan the provider serves at its own address has its own path.","plan":"The plan, as the provider names it on its pricing page.","who":"Who the provider offers the plan to: \"anyone\", or the condition its pages set, like \"anyone with a work email\" or \"on approval of an application\".","readFrom":"The pages we read the row's values from. They are the sheet's last column: click a cell to see each page, or press ⌘C to copy them all."},"billed":{"free":"Free: nothing to pay","on-demand":"Nothing to buy first: you pay as you go","one-time":"You buy credit first, as a pack or any amount you like, then spend it on calls","contact":"No public price: you ask the provider for one","monthly":"A monthly subscription","quarterly":"A quarterly subscription","half-yearly":"A subscription for 6 months","yearly":"A subscription for 12 or 15 months"},"defaults":["Ignore plans that need your LinkedIn","No contact us plans","No free plans","No yearly plans","$500 or less to start"],"kept":32,"paid":{"ranked":{"Employee search":[0.02,0.0298,0.0299,0.0396,0.049,0.058,0.058,0.07,0.074,0.08,0.08,0.08,0.08,0.09,0.09,0.0948,0.0952,0.0967,0.0989,0.1,0.1,0.1,0.1,0.1,0.1082,0.1416,0.1579,0.1666,0.1996,0.1996,0.1996,0.2,0.23,0.298,0.298,0.298,0.299,0.32,0.3267,0.396,0.4,0.49,0.49,0.49,0.58,0.6,0.6,0.7973,0.84,0.84,0.954,1,1.0101,1.188,1.2995,1.47,1.4967,1.5,1.59,1.6,1.6633,1.6667,1.8,1.8,1.8,1.8005,1.825,1.9693,1.98,1.99,2,2,2,2,2,2.1381,2.316,2.3684,2.3684,2.45,2.475,2.5,2.6581,2.6581,2.8,2.8,2.9667,2.9933,3,3,3,3,3.1992,3.2,3.2671,3.2671,3.278,3.3267,3.3688,3.5,3.5,3.6,3.6,3.6,3.6,3.65,3.8,3.8,3.85,3.9,3.9,3.9,3.96,3.96,3.98,4,4,4,4,4,4.1667,4.1667,4.2,4.2,4.3333,4.3333,4.5,4.5,4.9,4.9,4.95,4.99,4.99,5.9333,6.58,6.58,7.2,7.2,7.8,8.001,8.001,8.45,8.45,9,9,9,9,9,9.9,9.9,10,10,10,10,10,10,10,11.8,11.8,13.3,13.44,13.44,16.6,19.5,19.5,19.8,29,29,32.985,32.985,32.985,32.985,35,35,40,41.235,41.235,41.235,41.235,42.8792,42.8792,49,49.485,49.485,49.485,49.485,51.4592,51.4592,65.985,65.985,65.985,65.985,68.6192,68.6192]},"bench":{"Employee search|HarvestAPI|/linkedin/lead-search":{"data":0.9237,"performance":1,"median":1454,"measured":1454,"fastest":"HarvestAPI","fastestMedian":1454,"fastestMeasured":1454,"called":20,"inputs":20,"fewer":true,"days":["2026-10-19","2026-10-21","2026-10-22","2026-10-23","2026-10-25"],"row":"HarvestAPI"},"Employee search|NeuralVerge|/functions/v1/run-linkedin-company-employee":{"data":0.92,"performance":0.15036194415718718,"median":9670,"measured":9670,"fastest":"HarvestAPI","fastestMedian":1454,"fastestMeasured":1454,"called":20,"inputs":20,"fewer":true,"days":["2026-10-21"],"row":"NeuralVerge, Run LinkedIn Company Employee"},"Employee search|NeuralVerge|/functions/v1/run-linkedin-people-search":{"data":0.85,"performance":0.1577348665654155,"median":9218,"measured":9218,"fastest":"HarvestAPI","fastestMedian":1454,"fastestMeasured":1454,"called":20,"inputs":20,"fewer":true,"days":["2026-10-21"],"row":"NeuralVerge, Run LinkedIn People Search"},"Employee search|Datamagnet|/people-search/search":{"data":0.49,"performance":0.5451818522684665,"median":2667,"measured":2667,"fastest":"HarvestAPI","fastestMedian":1454,"fastestMeasured":1454,"called":20,"inputs":20,"fewer":true,"days":["2026-10-25"],"row":"Datamagnet, ICP People Search"},"Employee search|Datamagnet|/salesnavigator/search":{"data":0.9187,"performance":0.5788216560509554,"median":2512,"measured":2512,"fastest":"HarvestAPI","fastestMedian":1454,"fastestMeasured":1454,"called":13,"inputs":20,"fewer":true,"days":["2026-10-25"],"row":"Datamagnet, Sales Navigator Search"},"Employee search|Anysite|/api/linkedin/search/users":{"data":0.9,"performance":0.6970278044103547,"median":2086,"measured":2086,"fastest":"HarvestAPI","fastestMedian":1454,"fastestMeasured":1454,"called":20,"inputs":20,"fewer":true,"days":["2026-10-25"],"row":"Anysite"},"Employee search|Vayne|/api/find_people":{"data":0.92,"performance":0.7010607521697203,"median":2074,"measured":2074,"fastest":"HarvestAPI","fastestMedian":1454,"fastestMeasured":1454,"called":20,"inputs":20,"fewer":true,"days":["2026-10-25"],"row":"Vayne"}},"left":{"Employee search|AnyAPI|/v1/run/linkedin.company_employees":{"kind":"copy","both":false}}},"alert":true,"bench":{"groups":[{"name":"People matched","note":"On 19, 21, 22, 23 and 25 October 2026, we sent each provider up to 20 searches, all from the same list. Some providers offer two different calls. Some providers got the same search more than once. Time is each call minus a baseline, so the distance to the provider's servers drops out. We asked each call for 10 people per search, at one company with Manager in their job title, and read each person's LinkedIn profile. Match the search: a current job there with Manager in the title. Another title: a current job there under another title. Work elsewhere now: no current job there. Not confirmed: we couldn't judge them. We tried to read their profile twice and failed, or their profile shows no job at all. No page: there is no profile to read. The link the call gave is gone, or the call gave no link. The Data score leaves out Not confirmed people and counts No page people as wrong.","columns":[{"name":"Searches run","kind":"count","values":{"HarvestAPI":[20,20],"NeuralVerge, Run LinkedIn Company Employee":[20,20],"NeuralVerge, Run LinkedIn People Search":[20,20],"Datamagnet, ICP People Search":[20,20],"Datamagnet, Sales Navigator Search":[13,20],"Anysite":[20,20],"Vayne":[20,20]}},{"name":"Returned","kind":"count","values":{"HarvestAPI":[200,200],"NeuralVerge, Run LinkedIn Company Employee":[200,200],"NeuralVerge, Run LinkedIn People Search":[200,200],"Datamagnet, ICP People Search":[169,200],"Datamagnet, Sales Navigator Search":[130,130],"Anysite":[200,200],"Vayne":[200,200]}},{"name":"Match the search","kind":"count","values":{"HarvestAPI":[184.8,200],"NeuralVerge, Run LinkedIn Company Employee":[184,200],"NeuralVerge, Run LinkedIn People Search":[170,200],"Datamagnet, ICP People Search":[98,200],"Datamagnet, Sales Navigator Search":[123,130],"Anysite":[180,200],"Vayne":[184,200]}},{"name":"Another title","kind":"count","values":{"HarvestAPI":[3.1,200],"NeuralVerge, Run LinkedIn Company Employee":[3,200],"NeuralVerge, Run LinkedIn People Search":[6,200],"Datamagnet, ICP People Search":[52,200],"Datamagnet, Sales Navigator Search":[2,130],"Anysite":[5,200],"Vayne":[3,200]}},{"name":"Work elsewhere now","kind":"count","values":{"HarvestAPI":[12.1,200],"NeuralVerge, Run LinkedIn Company Employee":[13,200],"NeuralVerge, Run LinkedIn People Search":[24,200],"Datamagnet, ICP People Search":[19,200],"Datamagnet, Sales Navigator Search":[5,130],"Anysite":[15,200],"Vayne":[13,200]}},{"name":"Not confirmed","kind":"count","values":{"HarvestAPI":[0,200],"NeuralVerge, Run LinkedIn Company Employee":[0,200],"NeuralVerge, Run LinkedIn People Search":[0,200],"Datamagnet, ICP People Search":[0,200],"Datamagnet, Sales Navigator Search":[0,130],"Anysite":[0,200],"Vayne":[0,200]}},{"name":"No page","kind":"count","values":{"HarvestAPI":[0,200],"NeuralVerge, Run LinkedIn Company Employee":[0,200],"NeuralVerge, Run LinkedIn People Search":[0,200],"Datamagnet, ICP People Search":[0,200],"Datamagnet, Sales Navigator Search":[0,130],"Anysite":[0,200],"Vayne":[0,200]}}]},{"name":"Time per LinkedIn people search","note":"Each call's time minus its baseline, over our first call on each search, where it returned someone who matches the search: a search that returned no one who matches is no job done, however fast it came. Sometimes we added a provider and called the others again beside it on the same searches. Each provider we called in that new run gets its time from that run, not from its earlier calls. So the times from that run all come from the same day. A provider we timed only in an earlier run may be faster or slower today. Any other later call on the same search isn't timed, since the provider may answer it from what it kept. The baseline is the mean of three free calls to the same provider just before the call, on the same connection. If that mean is longer than the call, we use the provider's median baseline, capped at the call's time, so no time is below zero. Nothing to time means it returned no one who matches.","columns":[{"name":"Median","kind":"ms","values":{"HarvestAPI":1454,"NeuralVerge, Run LinkedIn Company Employee":9670,"NeuralVerge, Run LinkedIn People Search":9218,"Datamagnet, ICP People Search":2667,"Datamagnet, Sales Navigator Search":2512,"Anysite":2086,"Vayne":2074}},{"name":"10th percentile","kind":"ms","values":{"HarvestAPI":1133,"NeuralVerge, Run LinkedIn Company Employee":8726,"NeuralVerge, Run LinkedIn People Search":8782,"Datamagnet, ICP People Search":2152,"Datamagnet, Sales Navigator Search":2203,"Anysite":1635,"Vayne":1748}},{"name":"90th percentile","kind":"ms","values":{"HarvestAPI":1799,"NeuralVerge, Run LinkedIn Company Employee":12137,"NeuralVerge, Run LinkedIn People Search":12744,"Datamagnet, ICP People Search":3291,"Datamagnet, Sales Navigator Search":3156,"Anysite":2835,"Vayne":4776}},{"name":"Fastest","kind":"ms","values":{"HarvestAPI":1096,"NeuralVerge, Run LinkedIn Company Employee":8562,"NeuralVerge, Run LinkedIn People Search":6634,"Datamagnet, ICP People Search":1939,"Datamagnet, Sales Navigator Search":2103,"Anysite":1161,"Vayne":1582}},{"name":"Slowest","kind":"ms","values":{"HarvestAPI":2552,"NeuralVerge, Run LinkedIn Company Employee":13615,"NeuralVerge, Run LinkedIn People Search":13216,"Datamagnet, ICP People Search":4035,"Datamagnet, Sales Navigator Search":3536,"Anysite":4651,"Vayne":9150}},{"name":"Baseline","kind":"ms","values":{"HarvestAPI":266,"NeuralVerge, Run LinkedIn Company Employee":523,"NeuralVerge, Run LinkedIn People Search":439,"Datamagnet, ICP People Search":359,"Datamagnet, Sales Navigator Search":395,"Anysite":293,"Vayne":207}}]},{"name":"The LinkedIn people search call","note":"The provider's LinkedIn people search call, by the company's LinkedIn ID, page or name, as the call takes it, and a job title, and what one search cost on this run.","columns":[{"name":"Call","kind":"text","values":{"HarvestAPI":"GET api.harvest-api.com/linkedin/lead-search?currentCompanies=&currentJobTitles=","NeuralVerge, Run LinkedIn Company Employee":"POST api.neuralverge.ai/functions/v1/run-linkedin-company-employee","NeuralVerge, Run LinkedIn People Search":"POST api.neuralverge.ai/functions/v1/run-linkedin-people-search","Datamagnet, ICP People Search":"POST api.datamagnet.co/api/v1/people-search/search","Datamagnet, Sales Navigator Search":"POST api.datamagnet.co/api/v1/salesnavigator/search","Anysite":"POST api.anysite.io/api/linkedin/search/users","Vayne":"POST www.vayne.io/api/find_people"}},{"name":"Charged per search","kind":"text","values":{"HarvestAPI":"$0.1","NeuralVerge, Run LinkedIn Company Employee":"$0.08 a search of 10 people","NeuralVerge, Run LinkedIn People Search":"$0.1 a search of 10 people","Datamagnet, ICP People Search":"$0.5 a search, a page of 25 people","Datamagnet, Sales Navigator Search":"$0.5 a search, a page of 25 people","Anysite":"$0.0033 a search of 10 people","Vayne":"$0.0367 a search, a page of 25 people"}}]}],"inputs":{"said":"The 20 searches we called, as each provider's call took them.","keys":["linkedin","linkedin_id","name","title"],"rows":[["https://www.linkedin.com/company/randstad-india/","2554444","Randstad India","Manager"],["https://www.linkedin.com/company/klook/","3829760","Klook","Manager"],["https://www.linkedin.com/company/flysafair/","9304886","FlySafair","Manager"],["https://www.linkedin.com/company/sanral/","17951117","SANRAL","Manager"],["https://www.linkedin.com/company/arcteryx-equipment/","137624","Arc'teryx Equipment","Manager"],["https://www.linkedin.com/company/sliceit/","30246063","slice","Manager"],["https://www.linkedin.com/company/bank-of-canada/","12682","Bank of Canada","Manager"],["https://www.linkedin.com/company/citrofrut-s-a--de-c-v-/","152175","Citrofrut","Manager"],["https://www.linkedin.com/company/alexforbesofficial/","162369","Alexforbes","Manager"],["https://www.linkedin.com/company/kueski/","2988794","Kueski","Manager"],["https://www.linkedin.com/company/flos/","755974","Flos","Manager"],["https://www.linkedin.com/company/transnetnpa/","5438066","Transnet National Ports Authority","Manager"],["https://www.linkedin.com/company/cactus-communications/","58396","Cactus Communications","Manager"],["https://www.linkedin.com/company/winthrop-technologies/","9187753","Winthrop Technologies","Manager"],["https://www.linkedin.com/company/ansm/","66742","ANSM Agence nationale de sécurité du médicament et des produits de santé","Manager"],["https://www.linkedin.com/company/iamgold-corporation/","115808","IAMGOLD Corporation","Manager"],["https://www.linkedin.com/company/bonelli-erede/","25319","BonelliErede","Manager"],["https://www.linkedin.com/company/xepelinofficial/","23729435","Xepelin","Manager"],["https://www.linkedin.com/company/lesieur/","37579","Lesieur","Manager"],["https://www.linkedin.com/company/gse-gestore-servizi-energetici-/","421113","GSE (Gestore Servizi Energetici)","Manager"]]}},"more":"/assets/sheet-wQu3pBwr.json"}