Datacircle

Vayne pricing and alternatives: LinkedIn job details API, POST /api/linkedin_job_scrapings/batch

69% complete: 9 of the 13 key fields we checkSee the 13 fields

$4.90per 1,000 jobsHalf of the 142 plans we rank by price cost $3.83 per 1,000 or less. This plan costs less than 39% of the 142 plans.The cheapest plan we rank by price is Scrappa, $500 pack, at $0.238 per 1,000.
Plan: Starter one of Vayne's 7 plans
Call: POST /api/linkedin_job_scrapings/batch one of Vayne's 2 calls
API: LinkedIn job details API one of Vayne's 14 APIs

About this item

  • Freshness. We don't know how fresh this plan's data is.
  • 9 of the 13 key fields we check. Description, Applying, Location, Remote, Terms, Recruiter, Company, Posted, Status.
  • A monthly subscription. You pay $49 for 20,000 credits, enough for 10,000 results. Unused credits expire at the end of each month: no credit rollover.
  • One call. You send one of jobs[].job_id or jobs[].url to POST /api/linkedin_job_scrapings/batch. You can also send name and webhook_url. The call returns a job. You fetch the answer once the job is done. Or the provider sends the answer to your webhook.
  • Who can get it: anyone 18 or over. Keep data: no limit. Use data: with conditions.

Vayne: LinkedIn job details API alternatives

We list other providers' plans closest to this plan in price per 1,000 jobs. We also show the Zooq plan. Its price is farther from this plan's price.

This planVayne, $49 monthly, Starter, POST /api/linkedin_job_scrapings/batchZooq, freeEnvoAPI, $49 monthlyEdges, $32,890 monthlySocial Fetch, $379 pack, Scale, GET /v2/linkedin/jobs/{jobId}OpenWeb Ninja, pay as you go
$ per 1,000$4.90$0.00$4.90$4.935$4.944$5.00
Completeness69%54%54%54%77%77%
Billingmonthlyfreemonthlymonthlypay firstpay as you go
Pay$49$0$49$32,890$379monthly
Enough for10,000 results a month30 calls, once10,000 calls a monthabout 6,666,666 calls a monthabout 76,666 callsas many as you pay for
Freshnessunknownunknownlivelivelivelive
Who can get itanyone 18 or overanyoneanyone, for lawful, professional B2B purposes, not in a sanctioned jurisdiction or on a restricted-party listprofessionals (anyone acting for their commercial, industrial or liberal activity)anyone, for an organisation, someone with the authority to bind itanyone, a minor with a parent's permission

Every LinkedIn job details API provider we score, ranked

Sources

From each provider's own pricing page and docs, and from what providers tell us. We read this row from these pages on 2026-10-25.

  1. vayne.io/en/api-documentation
  2. vayne.io/en/linkedin-profile-company-scraper
  3. vayne.io/en/mcp-documentation
  4. vayne.io/en/pricing
  5. vayne.io/en/terms
  6. vayne.io/llms.txt
  7. vayne.io/swagger/v1/openapi-en.yaml

Product details

The key fields this plan's answer can hold, then each filled column in its row on the sheet.

  • Description
  • Applying
  • Category, not in the answer
  • Location
  • Remote
  • Salary, not in the answer
  • Terms
  • Level, not in the answer
  • Team, not in the answer
  • Recruiter
  • Company
  • Posted
  • Status
Price
$ per 1,000$4.90
Billingmonthly
$ a month$49
Aggregators
Aggregatorsnone
Charges
Perresult
Also pays forCheck LinkedIn Sales Navigator URL (does not consume credits, 10 requests per minute per user) · from the same budget: Create an order (Sales Navigator orders) · Scrape a single LinkedIn URL · Scrape multiple LinkedIn URLs (async) · Synchronously scrape a single LinkedIn job · Create a LinkedIn job search and fetch the first page(s) · Request the next page of an existing job search · Create a post scraper · Estimate credits for profile or company posts scraping · Search LinkedIn profiles (Find People) · Create a reverse lookup · Find a company's social profiles (synchronous) · Create a company lookup (asynchronous batch)
In their words
Their pitchScrape job postings (single or batch) [...]
Data
Keep datano limit
Use dataUnder this license, you may not: Build a similar or competitive service, Try to sell any illegal product or services, In any way, violate any applicable federal, state, local, or international law or regulation (including, without limitation, any laws regarding the export of data or software to and from the United States of America or other countries), For the purpose of exploiting, harming, or attempting to exploit or harm minors in any way by exposing them to inappropriate content, asking for personally identifiable information, or otherwise, Send, knowingly receive, upload, download, use, or re-use any material that does not comply with this Agreement, Engage in any harassing, threatening, intimidating, predatory or stalking conduct, Impersonate any person or entity, including without limitation, any Vayne official, employee, or falsely state or otherwise misrepresent your affiliation with such a person or entity, Access the Services by any means other than through the standard industry-accepted or Vayne-approved application program interfaces, Use our Services in any manner that could interfere with, disrupt, negatively affect or inhibit other users from fully enjoying our Services or that could damage, disable, overburden or impair the functioning of our Services in any manner [...]
Plan
Pay$49
You get20,000 credits a month
Enough for10,000 results a month
Expiresat the end of each month: no credit rollover
Rate limit
Per second1
Batch2,000
Speed
Answerby polling or webhook
The call
You sendone of jobs[].job_id or jobs[].url. Optional: name, webhook_url
MethodPOST
Path/api/linkedin_job_scrapings/batch
About the plan
PlanStarter
Who can get itanyone 18 or over
The 30 fields the plan's answer can hold

job ID, title, job URL, job state, posted date, header caption, description, location country, location region, location city, employment type, workplace type, remote, applicants, hiring team, hiring team name, hiring team title, hiring team LinkedIn URL, company ID, company, company LinkedIn URL, company website, company employee count, company size, company followers, company description, company headquarters, company industry, company specialties, credits consumed

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