Datacircle

Up2Data pricing and alternatives: LinkedIn company post API, POST /v1/batch

57% complete: 4 of the 7 key fields we checkSee the 7 fields

$2.50per 1,000 postsThe median plan costs $0.363 per 1,000. This plan costs less than 10% of the 120 priced plans.The cheapest plan is Fetchin, $1,700 monthly, at $0.0085 per 1,000.
Plan: 10K one of Up2Data's 7 plans
Call: POST /v1/batch one of Up2Data's 2 calls
API: LinkedIn company post API one of Up2Data's 18 APIs

About this item

  • Live. The call reads the posts on LinkedIn when you make it.
  • 4 of the 7 key fields we check. Text, Media, Engagement, Author.
  • A pack you buy once. You pay $25 for 10,000 credits, enough for 10,000 results. Credits never expire.
  • One call. You call POST /v1/batch with the inputs in Product details. The call returns a job. You fetch the answer once the job is done. Or the provider sends the answer to your webhook.
  • Anyone can get it. Keep data: no API terms. Use data: no API terms.

Up2Data: LinkedIn company post API alternatives

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

This planUp2Data, $25 pack, 10K, POST /v1/batchBright Data, top-upSocialCrawl, £49 packlobstr.io, $20 monthlyRouterGrowth, top-up from $10
$ per 1,000$2.50$1.50$1.633$2.00$3.50
Completeness57%100%71%71%0%
Billingpay firstpay firstpay firstmonthlypay first
Pay$25any amount£49$20$10
Enough for10,000 resultsas many as you pay for4,000 pages10,000 results a monthabout 2,857 results
Freshnesslivelivelivelivelive
Who can get itanyoneanyone 18 or over, not sanctioned or in Russia, Belarus, Syria or Lebanonanyone 18 or overprofessionals, not consumers, through their own LinkedIn account synced to lobstr.ioanyone

Every LinkedIn company post 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 2026-10-24.

  1. up2data.ai
  2. up2data.ai/#pricing
  3. up2data.ai/docs/v1/api/batch-create.md
  4. up2data.ai/docs/v1/api/batch-get.md
  5. up2data.ai/docs/v1/api/batch-results.md
  6. up2data.ai/docs/v1/api/companies-posts.md
  7. up2data.ai/docs/v1/api/profiles-enrich.md
  8. up2data.ai/docs/v1/guides/batch-jobs.md
  9. up2data.ai/docs/v1/guides/credits.md
  10. up2data.ai/docs/v1/guides/rate-limits.md
  11. up2data.ai/docs/v1/schemas/company-posts-result.md
  12. up2data.ai/docs/v1/schemas/post.md

Product details

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

  • Text
  • Media
  • Links and tags, not in the answer
  • Reshared post, not in the answer
  • Engagement
  • Author
  • Audience, not in the answer
Price
$ per 1,000$2.50
Billingpay first
Aggregators
Aggregatorsnone
Charges
Repeat freenever
Perresult
Also pays forfrom the same budget: Enrich a profile · Get profile activity · Get profile recommendations · Get profile interests · Enrich a company · Count company job openings · 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) · Get company posts
Not found
$ per 1,000$0.00
In their words
Their pitchSubmit up to 1,000 mixed enrich and operation items as one asynchronous job.
Data
Freshnesslive
Keep datano API terms
Use datano API terms
Plan
Pay$25
You get10,000 credits
Enough for10,000 results
Expiresnever
Rate limit
Per second83.33
Concurrent6,000
Batch1,000
Speed
Answerby polling or webhook
The call
You senditems[].operation "companies.posts", one of items[].body.url, items[].body.domain or items[].body.linkedin_id. Optional: items[].body.max_results, webhook_url, Idempotency-Key header
MethodPOST
Path/v1/batch
About the plan
Plan10K
Who can get itanyone
The 15 fields the plan's answer can hold

post URL, post URN, share URN, author name, author URL, author headline, text, date, media, media type, media URL, reactions, comments, reposts, scraped at

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