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Monocrawl pricing and alternatives: LinkedIn person recommendation API

100% complete: both key fields we checkSee the 2 fields

$0.00per 1,000 profilesThe cheapest of the 40 plans we rank by price is Up2Data, $200 pack, 100K, POST /v1/batch, at $2.00 per 1,000 profiles.
Plan: Free one of Monocrawl's 13 plans
Call: GET /v1/linkedin/profile-recommendations Monocrawl's only call for this API
API: LinkedIn person recommendation API one of Monocrawl's 11 APIs

About this item

  • Freshness. We don't know how fresh this plan's data is.
  • Both key fields we check. Recommendation and Recommender.
  • Nothing to pay. You get 150 credits once, enough for about 9 calls. Calls stop once your credits run out. Credits never expire.
  • One call. You send one of urn or url to GET /v1/linkedin/profile-recommendations. You can also send type, page and pagination_token. The call returns the person's recommendations.
  • Who can get it: anyone with a verified, non-disposable email. Keep data: no API terms. Use data: with conditions.

Monocrawl: LinkedIn person recommendation API alternatives

The table starts with Monocrawl's cheapest paid plan. Next come plans from other providers with the price per 1,000 profiles closest to Monocrawl's.

Monocrawl, $7,668 yearlygtm-api.com, $39 monthlySocialCrawl, £49 packUnifAPI, top-up, Starter top-upZooq, $299 pack
$ per 1,000 profiles$25.56$16.25$16.335$18.00$39.867
Completeness100%50%50%50%50%
Billingyearlymonthlypay firstpay firstpay first
Pay$7,668$39£49any amount$299
Enough for25,000 calls a month2,400 calls a month4,000 callsabout 111 calls, once7,500 calls
Freshnessunknownliveliveunknownlive
Who can get itanyoneanyone 18 or over, through LinkedIn accounts of their own they connect ("on your own LinkedIn accounts")anyone 18 or overanyone, on their workspace's first top-upanyone

LinkedIn person recommendation API pricing: plans compared

Sources

From each provider's own pricing page and docs, and from what providers tell us. We read this row from these pages on 2026-10-28.

  1. monocrawl.com
  2. monocrawl.com/docs/credits
  3. monocrawl.com/docs/endpoint-pricing
  4. monocrawl.com/docs/endpoints/linkedin/profile
  5. monocrawl.com/docs/endpoints/linkedin/profile-recommendations
  6. monocrawl.com/docs/rate-limits
  7. monocrawl.com/legal/public-data
  8. monocrawl.com/openapi.json
  9. monocrawl.com/pricing

Product details

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

  • Recommendation
  • Recommender
Price
$ per 1,000 profiles$0.00
Percall
Billingfree
Charges
Also pays forfrom the same budget: 650 other calls
Overage
Units caphard
Not found
$ per 1,000$0.00
In their words
Their pitchThe recommendations a member received or gave, one page at a time: text, date, relationship and the recommender.
Data
Keep datano API terms
Use dataCustomer responsibilities, its Public data page: "Establish and document a lawful purpose and data-protection basis for your own collection, enrichment, storage, combination, disclosure and decision-making. [...] Use proportionate retention and security, avoid collecting unnecessary personal information, and do not republish a raw response merely because it was technically retrievable. Respect platform terms and third-party intellectual-property or contractual restrictions that apply to you. Do not attempt to turn public endpoints into access to private, deleted, paywalled or access-controlled material."
Plan
Pay$0
You get150 credits
Enough forabout 9 calls, once
Expiresnever
Rate limit
Per day300
Per second10
Concurrent50
Batch1
Speed
Answerin the call
The call
You sendone of urn or url. Optional: type, page, pagination_token
MethodGET
Path/v1/linkedin/profile-recommendations
About the plan
PlanFree
Who can get itanyone with a verified, non-disposable email
The 17 fields the plan's answer can hold

text, date, relationship, recommender name, recommender URL, recommender headline, recommender username, recommender URN, total results, next cursor, has more, page, success, credits consumed, credits remaining, request ID, from cache

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