LinkedIn Search posts full API
Search public LinkedIn posts with rich author, engagement, attachment, and poll details.
$4.00/1k req, pay per request, no subscription.
{"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",... 8 more fields}
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.
capped at $0.143 per request1 result$0.0014350 results$0.0715100 results$0.143 capYou are charged for what comes back. Lower the limit to pay less - and no single request can cost more than the cap, however much comes back.4HoneybeeBackup 395.61% uptime13174ms p502.6% of calls2.6%1,263 calls$1.94/1k resultsup to $0.194 / requestMetered per result returned$0.00116 base + $0.00193 per result
capped at $0.194 per request1 result$0.0030950 results$0.09766100 results$0.194 capYou are charged for what comes back. Lower the limit to pay less - and no single request can cost more than the cap, however much comes back.
Try it
Get LinkedIn search posts full in one request
This sample shows 34 of 35 fields. See every field
{
"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 2026-10-27 · 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.
Response
JSON, one example value per field.
LinkedIn posts matching the search query. Populated whenever the provider has data for the entity.
- attachmentDescriptionstringcan require
A look at how we test multi-step agents before they reach production.
Short description of the attached content, as LinkedIn shows it on the preview card. Best effort on article attachments: depending on the search it may be absent, so treat it as optional. To read an article's content reliably, pass attachmentUrl to the linkedin.article endpoint.
- attachmentImagestringcan require
https://media.licdn.com/dms/image/D4E0BAQSolsticeArticle/feedshare-shrink_800/0/1701000000005?e=1735689600
Image URL associated with the attachment.
- attachmentSubtitlestringcan require
solsticelabs.ai
Subtitle of the attached structured content.
- attachmentTitlestringcan require
Open-sourcing our agent evaluation harness
Title of the attached article, job, or other structured content.
- attachmentTypestringcan require
article
Kind of structured content attached to the post, such as article, job, poll, video, or document.
- attachmentUrlstringcan require
https://solsticelabs.ai/blog/agent-eval-harness
Destination URL of the attachment with tracking parameters removed; a video keeps the signed query it needs to play, and a YouTube link keeps its video id. When attachmentType is article, pass this URL to the linkedin.article endpoint to read the article's full body text.
- createdUtcnumber
1758931200
UTC epoch timestamp in seconds (Unix time). Multiply by 1000 for a JS Date in milliseconds. Populated whenever the provider has data for the entity.
- idstring
7283456789012345678
Stable LinkedIn activity identifier for the post. Populated whenever the provider has data for the entity.
- pollClosedbooleancan require
Whether the attached poll is closed.
- pollQuestionstringcan require
Question asked by an attached LinkedIn poll.
- pollTotalVotesintegercan require
Total votes recorded by the attached poll.
- textstring
We just open-sourced our evaluation harness for agentic AI systems. Three months of internal dogfooding baked in.
Text content of the post. Empty string when the post carries no commentary of its own, such as a bare article share or an image-only post. Populated whenever the provider has data for the entity.
- urlstring
https://www.linkedin.com/feed/update/urn:li:activity:7283456789012345678
Canonical URL of the LinkedIn post. Populated whenever the provider has data for the entity.
Public author identity attached to the post. Populated whenever the provider has data for the entity.
- headlinestring
Head of AI Research at Solstice Labs
Public headline or company follower summary for the author.
- idstring
ACoAAAbcdef1234
LinkedIn identifier for the author.
- imagestring
https://media.licdn.com/dms/image/D4E03AQPriyaProfile/profile-displayphoto-shrink_800_800/0/1701000000004?e=1735689600
Public profile or company image URL for the author.
- namestring
Priya Natarajan
Display name of the author.
- profileUrlstring
https://www.linkedin.com/in/priya-natarajan-ai
Canonical LinkedIn profile or company URL for the author.
- publicIdentifierstring
priya-natarajan-ai
LinkedIn public identifier (vanity slug) for the author, for example "williamhgates". Stable across lanes, unlike the raw id.
- type"person" | "company" | "showcase"
person
Kind of LinkedIn entity that authored the post, derived from the author URL.
Reaction counts grouped by LinkedIn reaction type.
- countinteger
1490
Number of reactions of this type.
- typestring
LIKE
LinkedIn reaction type.
Public engagement totals attached to the post. Populated whenever the provider has data for the entity.
- commentsinteger
96
Total comment count.
- reactionsinteger
1842
Total reaction count.
- repostsinteger
213
Total repost or share count.
Options and public vote counts for an attached poll.
- textstring
Poll option text.
- votesinteger
Votes recorded for this option.
- foundboolean
true
Whether matching LinkedIn posts were found.
- reason"not_found"
Present only when `found` is false, and says why there is no result. `not_found`: the source states the target does not exist, or returned nothing for it. A `found: false` answer is a successful call, not an error, and `costUsd` is what it actually cost.
Selling this API? See the full schema your endpoint must return.
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 3.2 seconds across 48,212 measured calls.
