LinkedIn API

LinkedIn Search posts full API

Search public LinkedIn posts with rich author, engagement, attachment, and poll details.

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$4.00/1k req, pay per request, no subscription.

inartificial intelligence | Search | LinkedIn
linkedin.com/search/results/content/?keywords=artificial%20intelligence
AllPostsPeopleJobsCompanies
Sort byDate postedFrom memberPeople's network

Priya Natarajan

Head of AI Research at Solstice Labs

We just open-sourced our evaluation harness for agentic AI systems. Three months of internal dogfooding baked in.

Open-sourcing our agent evaluation harness

solsticelabs.ai

1,842·96 comments

What the API returnedposts[0]
{
"id": "7283456789012345678",
"url": "https://www.linkedin.com/feed/update/urn:li:activity:7283456789012345678",
"text": "We just open-sourced our evaluation harness for agentic AI systems. Three months of internal dogfooding baked in.",
"createdUtc": 1758931200,
"author": {...},
"engagement": {...},
"attachmentType": "article",
"attachmentTitle": "Open-sourcing our agent evaluation harness",
+4 more fields
}
Uptime
99.90%
30d · 4,859 calls
Requests
4,859
30d · weekly, last 12 wks
Response
3.3s
median · 30d

Pricing and providers

LinkedIn Search posts full API pricing: one API, 4 interchangeable providers

The cheapest provider serves first. If it fails, the next one takes over in the same call.

Provider
1WalrusServes first89.31% uptime9183ms p5014.1% of calls$4.00/1k reqflat2HedgehogBackup 199.93% uptime2506ms p5085.5% of calls$5.00/1k reqflat3OctopusBackup 2100.00% uptime9800ms p500.0% of calls$1.43/1k resultsup to $0.143 / request4HoneybeeBackup 3100.00% uptime10403ms p500.4% of calls$1.94/1k resultsup to $0.194 / request
You pay
$40.00
$4.00/1k req, only for what you use. No monthly plan.
Your first 25 requests are free with the $0.10 starting balance.

Try it

Get LinkedIn search posts full in one request

requireFieldsarray
Optional; omit it and routing is unchanged, with the cheapest source serving. Name the output fields this request must be able to return, for example `attachmentType` or `pollOptions`, and it is served only by a source that returns every one of them. Fields you do not name are still returned whenever the serving source has them. This can raise your price: when the cheapest source cannot return a named field, a dearer source serves, and you are quoted and charged its price. A named field can still be absent on a post that genuinely lacks it. Naming a combination that no single source returns together is refused as invalid input, with no charge.
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Sample response
Free runs return only the first 3 results. Fund a key to get the full response.
{
  "found": true,
  "data": {
    "posts": [
      {
        "id": "7283456789012345678",
        "url": "https://www.linkedin.com/feed/update/urn:li:activity:7283456789012345678",
        "text": "We just open-sourced our evaluation harness for agentic AI systems. Three months of internal dogfooding baked in.",
        "createdUtc": 1758931200,
        "author": {
          "id": "ACoAAAbcdef1234",
          "name": "Priya Natarajan",
          "headline": "Head of AI Research at Solstice Labs",
          "profileUrl": "https://www.linkedin.com/in/priya-natarajan-ai",
          "image": "https://media.licdn.com/dms/image/D4E03AQPriyaProfile/profile-displayphoto-shrink_800_800/0/1701000000004?e=1735689600",
          "publicIdentifier": "priya-natarajan-ai",
          "type": "person"
        },
        "engagement": {
          "reactions": 1842,
          "comments": 96,
          "reposts": 213,
          "breakdown": [
            {
              "type": "LIKE",
              "count": 1490
            },
            {
              "type": "PRAISE",
              "count": 220
            },
            {
              "type": "INTEREST",
              "count": 132
            }
          ]
        },
        "attachmentType": "article",
        "attachmentTitle": "Open-sourcing our agent evaluation harness",
        "attachmentSubtitle": "solsticelabs.ai",
        "attachmentUrl": "https://solsticelabs.ai/blog/agent-eval-harness",
        "attachmentDescription": "A look at how we test multi-step agents before they reach production.",
        "attachmentImage": "https://media.licdn.com/dms/image/D4E0BAQSolsticeArticle/feedshare-shrink_800/0/1701000000005?e=1735689600"
      },
      {
        "id": "7283109876543210987",
        "url": "https://www.linkedin.com/feed/update/urn:li:activity:7283109876543210987",
        "text": "",
        "createdUtc": 1758758400,
        "author": {
          "id": "urn:li:organization:9182734",
          "name": "Cortex Analytics",
          "headline": "48,910 followers",
          "profileUrl": "https://www.linkedin.com/company/cortex-analytics",
          "image": "https://media.licdn.com/dms/image/D560BAQCortexLogo/company-logo_200_200/0/1701000000006?e=1735689600",
          "publicIdentifier": "cortex-analytics",
          "type": "company"
        },
        "engagement": {
          "reactions": 340,
          "comments": 12,
          "reposts": 28,
          "breakdown": [
            {
              "type": "LIKE",
              "count": 310
            },
            {
              "type": "SUPPORT",
              "count": 30
            }
          ]
        },
        "attachmentType": "poll",
        "pollQuestion": "Which part of the ML lifecycle wastes your team the most time?",
        "pollTotalVotes": 612,
        "pollClosed": false,
        "pollOptions": [
          {
            "text": "Labeling data",
            "votes": 201
          },
          {
            "text": "Feature engineering",
            "votes": 158
          },
          {
            "text": "Eval and monitoring",
            "votes": 253
          }
        ]
      }
    ]
  }
}

Full parameter and response reference - every field, type, and example for this endpoint.

Reference

One request, one response shape.

Every field you send and every field you get back, each with a real example.

Last verified 2026-10-08 · uptime and latency measured over 30d

Request body

JSON, posted to this endpoint.

  • querystring

    artificial intelligence

    LinkedIn post search query, including quoted terms or Boolean operators accepted by LinkedIn search.

  • authorCompanyNamesarray

    Only return posts by people associated with these company names.

  • authorIndustryIdsarray

    Only return posts by authors associated with these LinkedIn industry IDs.

  • authorKeywordsstring

    Only return posts whose author profile headline or job title contains at least one of these keywords.

  • authorUrlsarray

    Only return posts authored by these LinkedIn profile or company URLs.

  • contentTypeenum

    Only return posts carrying this content type.

  • datePostedenum

    last-week

    Only return posts published within this relative time window. Last-hour and windows beyond one month route to the provider that supports them.

  • limitinteger

    10

    Maximum number of posts to return (1-100, default 10). The upper bound is one LinkedIn search page.

  • mentioningMemberUrlsarray

    Only return posts mentioning these LinkedIn member profile URLs.

  • requireFieldsarray

    Optional; omit it and routing is unchanged, with the cheapest source serving. Name the output fields this request must be able to return, for example `attachmentType` or `pollOptions`, and it is served only by a source that returns every one of them. Fields you do not name are still returned whenever the serving source has them. This can raise your price: when the cheapest source cannot return a named field, a dearer source serves, and you are quoted and charged its price. A named field can still be absent on a post that genuinely lacks it. Naming a combination that no single source returns together is refused as invalid input, with no charge.

  • sortenum

    relevance

    Order results by search relevance or publication date.

You send. A small JSON body. The values shown are examples to replace with your own.

Response

JSON, one example value per field.

  • foundboolean

    true

each postdata.posts[]
  • idstring

    7283456789012345678

  • urlstring

    https://www.linkedin.com/feed/update/urn:li:activity:7283456789012345678

  • textstring

    We just open-sourced our evaluation harness for agentic AI systems. Three months of internal dogfooding baked in.

  • createdUtcnumber

    1758931200

  • attachmentTypestringcan require

    article

  • attachmentTitlestringcan require

    Open-sourcing our agent evaluation harness

  • attachmentSubtitlestringcan require

    solsticelabs.ai

  • attachmentUrlstringcan require

    https://solsticelabs.ai/blog/agent-eval-harness

  • attachmentDescriptionstringcan require

    A look at how we test multi-step agents before they reach production.

  • attachmentImagestringcan require

    https://media.licdn.com/dms/image/D4E0BAQSolsticeArticle/feedshare-shrink_800/0/1701000000005?e=1735689600

authordata.posts[].author
  • idstring

    ACoAAAbcdef1234

  • namestring

    Priya Natarajan

  • headlinestring

    Head of AI Research at Solstice Labs

  • profileUrlstring

    https://www.linkedin.com/in/priya-natarajan-ai

  • imagestring

    https://media.licdn.com/dms/image/D4E03AQPriyaProfile/profile-displayphoto-shrink_800_800/0/1701000000004?e=1735689600

  • publicIdentifierstring

    priya-natarajan-ai

  • typestring

    person

engagementdata.posts[].engagement
  • reactionsnumber

    1842

  • commentsnumber

    96

  • repostsnumber

    213

each breakdowndata.posts[].engagement.breakdown[]
  • typestring

    LIKE

  • countnumber

    1490

You get back. Named, typed fields in the same shape whichever source answers.

FAQ

About the LinkedIn Search posts full API

The AnyAPI LinkedIn Search posts full API returns LinkedIn search posts full data as normalized JSON from one POST call to /v1/run/linkedin.search_posts_full. Search public LinkedIn posts with rich author, engagement, attachment, and poll details. AnyAPI routes each request across 4 sources and falls back automatically when one fails. It costs from $4 per 1,000 requests, in US dollars with no subscription and no monthly minimum. Over the last 30 days, 99.9% of LinkedIn search posts full calls through AnyAPI succeeded, with a median response time of 3.3 seconds across 4,859 measured calls.

It costs from $4 per 1,000 requests, in US dollars with no subscription and no monthly minimum. You fund one USD wallet and each call draws it down. Some failed wallet-funded requests incur processing charges that we pass through at cost, with no markup; the error response shows the amount charged.

Search public LinkedIn posts with rich author, engagement, attachment, and poll details. The response is normalized JSON with the same envelope every AnyAPI endpoint returns, so parsing a second endpoint is a change of URL and nothing else.

Over the last 30 days, 99.9% of LinkedIn search posts full calls through AnyAPI succeeded, with a median response time of 3.3 seconds across 4,859 measured calls. These are AnyAPI's own measurements of traffic through the gateway, recomputed continuously, not a published service-level target.

Yes. A new AnyAPI account starts with $0.10 of free balance and no card required, which covers 25 LinkedIn Search posts full calls at $0.004 each.

AnyAPI asks the next of its 4 sources in the same request, cheapest first, so one source going down does not fail your call.

Send a POST request to https://api.getanyapi.com/v1/run/linkedin.search_posts_full with your AnyAPI key in an "Authorization: Bearer" header and the input as a JSON body. The same key and the same wallet work on every AnyAPI endpoint.

No. You add US dollars to one prepaid AnyAPI balance and each request draws it down. There is no monthly plan and no minimum, and the same balance pays for every AnyAPI endpoint.

Yes. Install @getanyapi/sdk from npm for TypeScript or getanyapi from pip for Python. Both call every AnyAPI endpoint with the same key, and any HTTP client works too.

Yes. An agent can connect to the AnyAPI MCP server at https://api.getanyapi.com/mcp, or create its own free-trial key with one unauthenticated POST to https://api.getanyapi.com/agent/signup and call this endpoint over HTTP.
More to call

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