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Up2Data pricing and alternatives: LinkedIn person recommendation API, profiles/recommendations, Get profile recommendations, full

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

$5.00per 1,000 profilesHalf of the 32 plans we rank by price cost $10.81 per 1,000 or less. This plan costs less than 59% of the 32 plans.The cheapest plan we rank by price is Up2Data, $200 pack, 100K, POST /v1/batch, at $2.00 per 1,000.
Plan: 10K one of Up2Data's 7 plans
Call: POST /v1/profiles/recommendations, Get profile recommendations, full one of Up2Data's 3 calls
API: LinkedIn person recommendation API one of Up2Data's 18 APIs

About this item

  • Live. The call reads the recommendations on LinkedIn when you make it.
  • Both key fields we check. Recommendation and Recommender.
  • A pack you buy once. You pay $25 for 10,000 credits, enough for 5,000 calls. Credits never expire.
  • One call. You send one of url or urn to POST /v1/profiles/recommendations. You can also send direction "both", page and per_page. The call returns the person's recommendations.
  • Anyone can get it. Keep data: no API terms. Use data: no API terms.

Up2Data: LinkedIn person recommendation API alternatives

We list other providers' plans closest to this plan in price per 1,000 profiles. Each plan in the table gives live data.

This planUp2Data, $25 pack, 10K, POST /v1/profiles/recommendations, Get profile recommendations, fullZooq, freeRenidly, $143 packSocial Fetch, $379 packgtm-api.com, $9,600 yearly
$ per 1,000$5.00$0.00$4.76$4.944$5.333
Completeness100%50%100%50%50%
Billingpay firstfreepay firstpay firstyearly
Pay$25$0$143$379$9,600
Enough for5,000 calls30 calls, once30,030 callsabout 76,666 calls120,000 calls a month
Freshnesslivelivelivelivelive
Who can get itanyoneanyoneanyone 18 or over with a work email (Gmail, Yahoo, Outlook and other free providers aren't accepted)anyone, for an organisation, someone with the authority to bind itanyone 18 or over, through LinkedIn accounts of their own they connect ("on your own LinkedIn accounts")

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 2026-10-24.

  1. up2data.ai
  2. up2data.ai/#pricing
  3. up2data.ai/docs/v1/api/profiles-enrich.md
  4. up2data.ai/docs/v1/api/profiles-recommendations.md
  5. up2data.ai/docs/v1/guides/credits.md
  6. up2data.ai/docs/v1/guides/errors.md
  7. up2data.ai/docs/v1/guides/rate-limits.md
  8. up2data.ai/docs/v1/llms.txt
  9. up2data.ai/docs/v1/schemas/meta.md
  10. up2data.ai/docs/v1/schemas/pagination.md
  11. up2data.ai/docs/v1/schemas/profile-recommendations-result.md
  12. up2data.ai/docs/v1/schemas/recommendation.md

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$5.00
Billingpay first
Charges
Repeat freenever
Percall
Also pays forfrom the same budget: Enrich a profile · Get profile activity · Get profile interests · Enrich a company · Count company job openings · Get company posts · Find custom headcount · Enrich a job · Search jobs · Enrich a post · Search posts · Get post comments · Get post reactions · Get post reposts · Search people · Search people (Sales Navigator) · Search people (standard) · Search companies · Search companies (Sales Navigator) · Search companies (standard) · Create a batch job
Not found
$ per 1,000$2.50
In their words
Their pitchGet the written recommendations a profile has received, given, or both.
Data
Keep datano API terms
Use datano API terms
Plan
Pay$25
You get10,000 credits
Enough for5,000 calls
Expiresnever
Rate limit
Per second83.33
Concurrent6,000
Batch1
Speed
Answerin the call
The call
You sendone of url or urn. Optional: direction "both", page, per_page
MethodPOST
Path/v1/profiles/recommendations
About the plan
Plan10K
Who can get itanyone
The 22 fields the plan's answer can hold

text, relationship, date, recommender name, recommender URL, recommender headline, recommender URN, recommendations received, profile URL, username, member ID, member URN, scraped at, page, page size, has more, credits consumed, credits remaining, charged, request ID, execution time, recommendations given

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