Vexaloom Labs

LinkedIn Keyword & Hashtag Post Discovery Scraper

Search LinkedIn posts by keyword or hashtag with filters for date, author type, industry, connection degree, mentions, and minimum reactions. Requires a LinkedIn session cookie.

Input schema

Input fields, types, required flags, descriptions, defaults, and prefills come from the published definition. Prefill examples are distinct from defaults.

FieldTypeRequiredDescription
modestringoptionalWhat to run. 'auto' searches when searchQuery/searchQueries are set and enriches when postUrls are set (both can run together).
searchQuerystringoptionalKeyword, phrase, or hashtag to find in public LinkedIn posts. Examples: 'artificial intelligence', '"product launch"', '#MachineLearning'. (mode=search/auto)
searchQueriesarrayoptionalAdditional queries to run in the same run; each is searched independently, duplicates are delivered once. Combine with Search Query. (mode=search/auto)
Show all input fields
FieldTypeRequiredDescription
modestringoptionalWhat to run. 'auto' searches when searchQuery/searchQueries are set and enriches when postUrls are set (both can run together).
searchQuerystringoptionalKeyword, phrase, or hashtag to find in public LinkedIn posts. Examples: 'artificial intelligence', '"product launch"', '#MachineLearning'. (mode=search/auto)
searchQueriesarrayoptionalAdditional queries to run in the same run; each is searched independently, duplicates are delivered once. Combine with Search Query. (mode=search/auto)
postUrlsarrayoptionalLinkedIn post or article URLs to enrich directly (activity, share, ugcPost, feed/update, /pulse/ links and country subdomains). (mode=postUrls/auto)
sortBystringoptionalHow to order the posts that were found. 'relevance' keeps the search engine's order; 'recency' sorts the found posts by date (newest first).
datePostedstringoptionalOnly keep posts from this time window.
postedAfterstringoptionalOnly keep posts published on or after this date (YYYY-MM-DD). Leave empty to disable.
postedBeforestringoptionalOnly keep posts published on or before this date (YYYY-MM-DD). Leave empty to disable.
authorTypestringoptionalKeep only posts written by a person or by a company page. Applied after each post is opened, so a post whose author type cannot be determined is kept.
contentTypearrayoptionalKeep only these post types: articles (LinkedIn articles), posts (text/reposts/polls/events), documents (PDF/PPTX document cards), videos, images.
minReactionsintegeroptionalKeep only posts with at least this many reactions. Posts whose reaction count is unknown are skipped when this is above 0.
minCommentsintegeroptionalKeep only posts with at least this many comments. Posts whose comment count is unknown are skipped when this is above 0.
excludeRepostsbooleanoptionalWhen enabled, skip posts that repeat someone else's content.
includeUnmatchedbooleanoptionalWhen enabled, posts that do not show every word of your query are also returned, marked keywordMatch: false. Useful for hashtags.
languagestringoptionalPreferred interface language used when opening each post page (affects LinkedIn's rendered text).
countryCodestringoptionalPrefer LinkedIn posts indexed on this country's LinkedIn domain (site:xx.linkedin.com). 'auto' uses linkedin.com worldwide.
maxResultsintegeroptionalMaximum number of posts to return per run, after filters. The search index holds fewer posts for narrow queries.
hydratePostsbooleanoptionalWhen enabled, each found post is opened so the record carries the full text, author, date, engagement counts and top comments. Turn off for faster runs with link + snippet only.
includeVideoTranscriptbooleanoptionalWhen enabled and a video post exposes a transcript on its public page, the transcript is added to the record.
monitorModebooleanoptionalWhen enabled, only posts that were not delivered by an earlier run with the same input are returned. Ideal for schedules.
emitNoResultsMarkerbooleanoptionalWhen enabled and a clean search finds nothing, push one marker record ({searchQuery, noResults: true}) so zero matches can be told apart from a failed run.
mentionsarrayoptionalAdditional words added to every search query, for example a company or person name.
mentionsCompanystringoptionalCompany name added to the search query. Numeric LinkedIn IDs cannot be used without a session and are ignored (a note is added to the run status).
mentionsPersonstringoptionalPerson name added to the search query. Numeric LinkedIn IDs cannot be used without a session and are ignored (a note is added to the run status).
talksAboutarrayoptionalTopics or hashtags added to the search query; each value becomes #topic. Values with a leading # are accepted as-is.
includeDocumentDetailsbooleanoptionalFor document (PDF/PPTX) posts, also fetch the per-page transcript and page-image URLs in addition to the document URL and page count.
includeRepostCountsbooleanoptionalLast-resort fallback: if the richer public guest layout was not obtained for a post, retry a few more times to catch the repost/share counts. Normally unnecessary when the guest session is active.
enrichSduibooleanoptionalUse LinkedIn's anonymous public guest session (an ephemeral cookie issued by the site, like a normal browser) to read the richer public post layout. This adds reaction-type breakdowns, up to ~18 comments with profile links, and repost counts when available. No user account or credentials are involved.

Download the published input schema

View complete JSON
{
  "description": "Search public LinkedIn posts by keyword or hashtag, or enrich specific post URLs. No LinkedIn cookie or login is needed.",
  "properties": {
    "authorType": {
      "default": "",
      "description": "Keep only posts written by a person or by a company page. Applied after each post is opened, so a post whose author type cannot be determined is kept.",
      "editor": "select",
      "enum": [
        "",
        "PERSON",
        "COMPANY"
      ],
      "enumTitles": [
        "Anyone",
        "People only",
        "Companies only"
      ],
      "prefill": "",
      "title": "Author Type",
      "type": "string"
    },
    "contentType": {
      "default": [
        "articles",
        "posts",
        "documents",
        "videos",
        "images"
      ],
      "description": "Keep only these post types: articles (LinkedIn articles), posts (text/reposts/polls/events), documents (PDF/PPTX document cards), videos, images.",
      "editor": "stringList",
      "prefill": [
        "articles",
        "posts",
        "documents",
        "videos",
        "images"
      ],
      "title": "Content Types",
      "type": "array"
    },
    "countryCode": {
      "default": "auto",
      "description": "Prefer LinkedIn posts indexed on this country's LinkedIn domain (site:xx.linkedin.com). 'auto' uses linkedin.com worldwide.",
      "editor": "select",
      "enum": [
        "auto",
        "us",
        "gb",
        "de",
        "fr",
        "es",
        "it",
        "pt",
        "nl",
        "br",
        "in",
        "ca",
        "au",
        "mx",
        "jp",
        "sg",
        "ae",
        "sa",
        "za",
        "ng",
        "pk",
        "id",
        "ph",
        "my",
        "pl",
        "se",
        "ch",
        "at",
        "be",
        "dk",
        "ie"
      ],
      "enumTitles": [
        "Automatic (worldwide)",
        "United States",
        "United Kingdom",
        "Germany",
        "France",
        "Spain",
        "Italy",
        "Portugal",
        "Netherlands",
        "Brazil",
        "India",
        "Canada",
        "Australia",
        "Mexico",
        "Japan",
        "Singapore",
        "United Arab Emirates",
        "Saudi Arabia",
        "South Africa",
        "Nigeria",
        "Pakistan",
        "Indonesia",
        "Philippines",
        "Malaysia",
        "Poland",
        "Sweden",
        "Switzerland",
        "Austria",
        "Belgium",
        "Denmark",
        "Ireland"
      ],
      "prefill": "auto",
      "title": "Country",
      "type": "string"
    },
    "datePosted": {
      "default": "",
      "description": "Only keep posts from this time window.",
      "editor": "select",
      "enum": [
        "",
        "r86400",
        "r604800",
        "r2592000"
      ],
      "enumTitles": [
        "Any time",
        "Past 24 hours",
        "Past week",
        "Past month"
      ],
      "prefill": "",
      "title": "Date Posted",
      "type": "string"
    },
    "emitNoResultsMarker": {
      "default": true,
      "description": "When enabled and a clean search finds nothing, push one marker record ({searchQuery, noResults: true}) so zero matches can be told apart from a failed run.",
      "editor": "checkbox",
      "prefill": true,
      "title": "Emit No-Results Marker",
      "type": "boolean"
    },
    "enrichSdui": {
      "default": true,
      "description": "Use LinkedIn's anonymous public guest session (an ephemeral cookie issued by the site, like a normal browser) to read the richer public post layout. This adds reaction-type breakdowns, up to ~18 comments with profile links, and repost counts when available. No user account or credentials are involved.",
      "editor": "checkbox",
      "prefill": false,
      "title": "Enrich From Public Guest Session",
      "type": "boolean"
    },
    "excludeReposts": {
      "default": false,
      "description": "When enabled, skip posts that repeat someone else's content.",
      "editor": "checkbox",
      "prefill": false,
      "title": "Exclude Reposts",
      "type": "boolean"
    },
    "hydratePosts": {
      "default": true,
      "description": "When enabled, each found post is opened so the record carries the full text, author, date, engagement counts and top comments. Turn off for faster runs with link + snippet only.",
      "editor": "checkbox",
      "prefill": true,
      "title": "Open Each Post Page",
      "type": "boolean"
    },
    "includeDocumentDetails": {
      "default": false,
      "description": "For document (PDF/PPTX) posts, also fetch the per-page transcript and page-image URLs in addition to the document URL and page count.",
      "editor": "checkbox",
      "prefill": false,
      "title": "Include Document Details",
      "type": "boolean"
    },
    "includeRepostCounts": {
      "default": false,
      "description": "Last-resort fallback: if the richer public guest layout was not obtained for a post, retry a few more times to catch the repost/share counts. Normally unnecessary when the guest session is active.",
      "editor": "checkbox",
      "prefill": false,
      "title": "Include Repost Counts",
      "type": "boolean"
    },
    "includeUnmatched": {
      "default": false,
      "description": "When enabled, posts that do not show every word of your query are also returned, marked keywordMatch: false. Useful for hashtags.",
      "editor": "checkbox",
      "prefill": false,
      "title": "Also Return Loose Matches",
      "type": "boolean"
    },
    "includeVideoTranscript": {
      "default": false,
      "description": "When enabled and a video post exposes a transcript on its public page, the transcript is added to the record.",
      "editor": "checkbox",
      "prefill": false,
      "title": "Include Video Transcripts",
      "type": "boolean"
    },
    "language": {
      "default": "en",
      "description": "Preferred interface language used when opening each post page (affects LinkedIn's rendered text).",
      "editor": "select",
      "enum": [
        "en",
        "es",
        "fr",
        "de",
        "pt",
        "it"
      ],
      "enumTitles": [
        "English",
        "Spanish",
        "French",
        "German",
        "Portuguese",
        "Italian"
      ],
      "prefill": "en",
      "title": "Language",
      "type": "string"
    },
    "maxResults": {
      "default": 25,
      "description": "Maximum number of posts to return per run, after filters. The search index holds fewer posts for narrow queries.",
      "editor": "number",
      "maximum": 200,
      "minimum": 1,
      "prefill": 3,
      "title": "Max Results",
      "type": "integer"
    },
    "mentions": {
      "default": [],
      "description": "Additional words added to every search query, for example a company or person name.",
      "editor": "stringList",
      "prefill": [],
      "title": "Extra Search Terms",
      "type": "array"
    },
    "mentionsCompany": {
      "default": "",
      "description": "Company name added to the search query. Numeric LinkedIn IDs cannot be used without a session and are ignored (a note is added to the run status).",
      "editor": "textfield",
      "prefill": "",
      "title": "Mentions Company",
      "type": "string"
    },
    "mentionsPerson": {
      "default": "",
      "description": "Person name added to the search query. Numeric LinkedIn IDs cannot be used without a session and are ignored (a note is added to the run status).",
      "editor": "textfield",
      "prefill": "",
      "title": "Mentions Person",
      "type": "string"
    },
    "minComments": {
      "default": 0,
      "description": "Keep only posts with at least this many comments. Posts whose comment count is unknown are skipped when this is above 0.",
      "editor": "number",
      "maximum": 1000000,
      "minimum": 0,
      "prefill": 0,
      "title": "Minimum Comments",
      "type": "integer"
    },
    "minReactions": {
      "default": 0,
      "description": "Keep only posts with at least this many reactions. Posts whose reaction count is unknown are skipped when this is above 0.",
      "editor": "number",
      "maximum": 1000000,
      "minimum": 0,
      "prefill": 0,
      "title": "Minimum Reactions",
      "type": "integer"
    },
    "mode": {
      "default": "auto",
      "description": "What to run. 'auto' searches when searchQuery/searchQueries are set and enriches when postUrls are set (both can run together).",
      "editor": "select",
      "enum": [
        "auto",
        "search",
        "postUrls"
      ],
      "enumTitles": [
        "Automatic (recommended)",
        "Search by keyword or hashtag",
        "Enrich these post URLs"
      ],
      "prefill": "auto",
      "title": "Mode",
      "type": "string"
    },
    "monitorMode": {
      "default": false,
      "description": "When enabled, only posts that were not delivered by an earlier run with the same input are returned. Ideal for schedules.",
      "editor": "checkbox",
      "prefill": false,
      "title": "Monitor Mode (only new posts)",
      "type": "boolean"
    },
    "postUrls": {
      "default": [],
      "description": "LinkedIn post or article URLs to enrich directly (activity, share, ugcPost, feed/update, /pulse/ links and country subdomains). (mode=postUrls/auto)",
      "editor": "stringList",
      "prefill": [],
      "title": "Post URLs",
      "type": "array"
    },
    "postedAfter": {
      "default": "",
      "description": "Only keep posts published on or after this date (YYYY-MM-DD). Leave empty to disable.",
      "editor": "datepicker",
      "prefill": "",
      "title": "Posted After",
      "type": "string"
    },
    "postedBefore": {
      "default": "",
      "description": "Only keep posts published on or before this date (YYYY-MM-DD). Leave empty to disable.",
      "editor": "datepicker",
      "prefill": "",
      "title": "Posted Before",
      "type": "string"
    },
    "searchQueries": {
      "default": [],
      "description": "Additional queries to run in the same run; each is searched independently, duplicates are delivered once. Combine with Search Query. (mode=search/auto)",
      "editor": "stringList",
      "prefill": [],
      "title": "Search Queries (batch)",
      "type": "array"
    },
    "searchQuery": {
      "description": "Keyword, phrase, or hashtag to find in public LinkedIn posts. Examples: 'artificial intelligence', '\"product launch\"', '#MachineLearning'. (mode=search/auto)",
      "editor": "textfield",
      "prefill": "artificial intelligence",
      "title": "Search Query",
      "type": "string"
    },
    "sortBy": {
      "default": "relevance",
      "description": "How to order the posts that were found. 'relevance' keeps the search engine's order; 'recency' sorts the found posts by date (newest first).",
      "editor": "select",
      "enum": [
        "relevance",
        "recency",
        "date_posted"
      ],
      "enumTitles": [
        "Most relevant",
        "Most recent (of found posts)",
        "Most recent (date_posted alias)"
      ],
      "prefill": "relevance",
      "title": "Sort By",
      "type": "string"
    },
    "talksAbout": {
      "default": [],
      "description": "Topics or hashtags added to the search query; each value becomes #topic. Values with a leading # are accepted as-is.",
      "editor": "stringList",
      "prefill": [],
      "title": "Talks About (Topics / Hashtags)",
      "type": "array"
    }
  },
  "required": [],
  "schemaVersion": 1,
  "title": "LinkedIn Keyword & Hashtag Post Discovery Scraper Input",
  "type": "object"
}

Output schema

Published result links and storage locations. This schema is not an exhaustive contract for every field in a dataset record.

FieldTypeRequiredDescription
postsstringoptionalDataset containing all discovered and enriched LinkedIn posts.

Download the published output schema

View complete JSON
{
  "actorOutputSchemaVersion": 1,
  "description": "One record per matching LinkedIn post, with full text, author, date, engagement metrics, top comments and media where the public post page exposes them. A no-results marker row ({searchQuery, noResults: true}) is added when a clean search finds nothing.",
  "properties": {
    "posts": {
      "description": "Dataset containing all discovered and enriched LinkedIn posts.",
      "template": "{{links.apiDefaultDatasetUrl}}/items",
      "title": "LinkedIn Posts",
      "type": "string"
    }
  },
  "title": "LinkedIn Keyword & Hashtag Post Discovery Scraper Output"
}

Dataset schema

Published dataset views and any declared field definitions. A view can select only a subset of the returned record fields.

Download the published dataset schema

View complete JSON
{
  "actorSpecification": 1,
  "views": {
    "overview": {
      "display": {
        "component": "table",
        "properties": {
          "authorFollowers": {
            "format": "number",
            "label": "Followers"
          },
          "authorName": {
            "format": "text",
            "label": "Author"
          },
          "commentsCount": {
            "format": "number",
            "label": "Comments"
          },
          "content": {
            "format": "text",
            "label": "Content"
          },
          "postUrl": {
            "format": "link",
            "label": "Post URL"
          },
          "postedAt": {
            "format": "text",
            "label": "Posted At"
          },
          "reactionsCount": {
            "format": "number",
            "label": "Reactions"
          },
          "scrapedAt": {
            "format": "text",
            "label": "Scraped At"
          },
          "searchQuery": {
            "format": "text",
            "label": "Search Query"
          }
        }
      },
      "title": "Overview",
      "transformation": {
        "fields": [
          "authorName",
          "authorFollowers",
          "postedAt",
          "content",
          "reactionsCount",
          "commentsCount",
          "postUrl",
          "searchQuery",
          "scrapedAt"
        ]
      }
    }
  }
}

Key-value schema

Published key-value store definitions, when provided by this build.

This definition is not present in the default published build. See the published README for available documentation.

Published README

Read the full published documentation

LinkedIn Keyword & Hashtag Post Discovery Scraper

Find public LinkedIn posts about a topic, a brand, a person, or a hashtag — without a LinkedIn account, cookie, or login. The actor searches the public search-engine index of LinkedIn posts for your keyword, then opens each matching post's public page to return the full text, author, date, reaction and comment counts, top comments, and media. It is built for social listening, lead research, and competitor tracking, and it says plainly what the index can and cannot deliver.

What this actor does

  • Three modes: auto, search (keyword / phrase / hashtag), postUrls (enrich specific posts or articles)
  • Batch search: run up to 20 queries in one run; a post found by two queries is returned once
  • Filters: date window and exact date range, author type, content type, minimum reactions and comments, exclude reposts
  • Full post records: text, author name / profile / avatar / followers, ISO timestamp, reactions, comments, top comments with authors and likes, media, hashtags
  • Documents: PDF/PPTX document-card posts resolve to the original PDF, page count, and (optionally) per-page transcript and page images
  • Engagement: reaction-type breakdown, repost counts, and up to ~18 comments with profile links when LinkedIn serves its richer public guest layout
  • Monitor mode: on a schedule, only posts you have not received before
  • Fields a post does not have are omitted — never null and never made up

Output per post

  • postId, postUrl — canonical post identity and URL
  • sourcePostUrl — the URL the post was discovered from (provenance)
  • authorName, authorProfileUrl, authorAvatar, authorFollowers
  • authorType — PERSON or COMPANY when the public page says which
  • authorHeadline — when the public page shows one
  • postedAt — ISO 8601 timestamp
  • content — full post text
  • articleTitle, articleUrl — for LinkedIn articles
  • hashtags — parsed from the post text
  • mediaType — text, image, video, article, document, or repost
  • mediaItems — media URLs with thumbnail and duration where available
  • comments[] — top comments: {authorName, text, postedAt, reactionsCount, authorProfileUrl?, dateText?}; up to ~10 on the plain page, up to ~18 when the richer public guest layout is used
  • commentsSource — post or sdui (which public layout supplied the comments)
  • documentUrl, documentTitle, documentPageCount — for document posts (the original PDF and page count)
  • documentTranscript, documentPageImages — per-page text and page-image URLs when includeDocumentDetails is on
  • reactionsCount, commentsCount — as shown on the public post page
  • reactionBreakdown — per-type counts (like, celebrate, love, insightful, support, funny, superLike) when the richer guest layout is used; the sum matches the total
  • repostsCount — when the richer guest layout exposes it
  • videoDuration, videoTranscript — for video posts (transcript only when the input asks for it)
  • repostOf — details of the original post when the result repeats someone else's content
  • snippet — the search engine's excerpt of the post
  • keywordMatch — whether every word of your query is visible in the post
  • searchQuery, searchEngine, source, contentSource, scrapedAt — run provenance
  • Fields a post does not expose are left out of that record.

Marker rows

  • With emitNoResultsMarker on (default), a search that finishes cleanly with zero matches pushes one row: {searchQuery, noResults: true, scrapedAt}.
  • If a post page cannot be opened, the post is still returned as a partial row with the link, snippet, date derived from its ID, and contentSource: "serp" instead of being invented or silently dropped.

Input

Field Type Default Description
mode string auto auto / search / postUrls
searchQuery string – Keyword, phrase, or #hashtag (mode=search/auto; prefill: artificial intelligence)
searchQueries array [] Additional queries to run in the same run
postUrls array [] Post or article URLs to enrich (mode=postUrls/auto)
sortBy string relevance relevance / recency / date_posted (last two are aliases)
datePosted string "" "" / r86400 / r604800 / r2592000
postedAfter date "" Keep posts on or after this date
postedBefore date "" Keep posts on or before this date
authorType string "" "" / PERSON / COMPANY
contentType array ["articles","posts","documents","videos","images"] articles, posts, documents, videos, images
minReactions integer 0 Minimum reactions (posts with unknown counts are skipped when > 0)
minComments integer 0 Minimum comments (same rule)
excludeReposts boolean false Skip reposts of other people's content
includeUnmatched boolean false Also return posts that miss a query word (keywordMatch: false)
language string en Interface language used when opening post pages
countryCode string auto Prefer a country's LinkedIn domain (site:xx.linkedin.com)
maxResults integer 25 Posts to return (1–200, after filters)
hydratePosts boolean true Open each post page for the full record; off = link + snippet only
includeVideoTranscript boolean false Add video transcripts when the page exposes one
includeDocumentDetails boolean false For document posts, also return the per-page transcript and page-image URLs
enrichSdui boolean true Use LinkedIn's anonymous public guest session (an ephemeral site cookie, like a normal browser) to read the richer post layout. No account or credentials involved.
includeRepostCounts boolean false Last resort: if the richer layout was not obtained, try up to five extra requests to catch it for repost counts
monitorMode boolean false On schedules: only posts not delivered by an earlier run with the same input
emitNoResultsMarker boolean true Push a zero-match marker instead of an empty dataset
mentions array [] Extra words added to every query
mentionsCompany / mentionsPerson string "" Names added to the query (numeric IDs are ignored and reported)
talksAbout array [] Topics/hashtags; each becomes #topic

Example: keyword search with engagement filter

{
  "mode": "search",
  "searchQuery": "b2b sales automation",
  "datePosted": "r604800",
  "minReactions": 10,
  "maxResults": 50
}

Example: hashtag monitoring

{
  "mode": "search",
  "searchQuery": "#MachineLearning",
  "sortBy": "recency",
  "includeVideoTranscript": false,
  "monitorMode": true,
  "maxResults": 100
}

Example: enrich exact posts

{
  "mode": "postUrls",
  "postUrls": [
    "https://www.linkedin.com/posts/example-company_product-launch-activity-7123456789012345678-abCD",
    "https://www.linkedin.com/pulse/example-article-slug"
  ]
}

Example: several queries in one run

{
  "mode": "search",
  "searchQuery": "AI agents",
  "searchQueries": ["LLM evaluation", "\"first sales hire\""],
  "authorType": "PERSON",
  "maxResults": 120
}

Use cases

  • Social listening — track what is being posted about your brand, product, or an event
  • Lead research — find people talking about a problem your product solves, with their recent posts
  • Competitor monitoring — surface company posts and announcements around a topic or brand name
  • Content and SEO research — see which posts and angles are indexed for your keywords
  • Event and PR tracking — follow a hashtag or event name during and after a campaign
  • Research datasets — export clean post text with dates and engagement for analysis

FAQ

No. The actor never logs in and never uses a user session; older tasks that still send a cookie value keep working, and the value is ignored. While reading public post pages it may receive an anonymous, server-issued guest cookie from LinkedIn and reuse it only within that run, exactly as a normal browser would. It is never an input, never stored between runs, and never logged. No li_at or signed-in session is involved.

How many posts can I get per run?

Up to 200 with maxResults. The practical number depends on how many public posts the search index holds for your query — a specific phrase usually has far fewer than a broad one. The actor never pads results to hit the number: if the index or your filters run out of matches, the run returns fewer (filters such as datePosted, minReactions, contentType and authorType remove posts). Raising maxResults does not create posts the index does not have.

Do document posts work?

Yes. Document-card posts (PDF/PPTX carousels) expose a public manifest; the actor reads it and returns the original PDF (documentUrl), title, and page count, with per-page transcript and page images when includeDocumentDetails is on.

What “search” means here

The actor reads a public search-engine index of linkedin.com/posts pages; it does not query LinkedIn's own search database, so the result set is smaller and not identical to what a signed-in user sees, and it is not date-sorted unless you choose recency. As a result:

  • No result counts. Neither the index nor the actor can tell you how many posts LinkedIn would return. The status reports how many indexed posts were discovered, not a LinkedIn total.
  • Recency is index-recency, not LinkedIn-recency. The past-week and past-month filters were fully within their windows in testing, but the past-24-hours window often returned zero or one post because the index lags. For monitoring, run on a schedule with the past week/month window.
  • Connection degree is unavailable. 1st/2nd/3rd+ is viewer-specific and needs a signed-in session. Older tasks that still send a connection-degree value keep working; it is ignored.
  • Author industry is unavailable. Public post pages do not say which industry the author's company is in. Older tasks that still send an industry filter keep working; it is ignored. Adding an industry word to the query finds posts about that industry, not necessarily authors who work in it.
  • Mention filters use text, not LinkedIn entity IDs. Numeric company/person IDs cannot be resolved without a session. Enter a name or slug: the actor searches for that text, which may include third-party mentions and may miss @mentions whose visible text omits the name.

Company and school post feeds

Company and school post feeds are not supported. LinkedIn requires a sign-in for the “Posts” tab on company and school pages, and the logged-out page only shows the latest handful of posts (~6–14) with no way to load more. This actor searches the public post index instead: it can find public posts that mention a company or school, but it cannot return that entity's complete or paginated feed. If you need an entity's own posts, use the entity name as the query and check each result's author, or use a signed-in LinkedIn tool.

Why are some engagement fields missing?

LinkedIn's plain public page embeds only the first ~10 comments and the totals; the richer public guest layout exposes up to ~18 comments (including author replies and commenter profile links), reaction-type breakdowns and repost counts, and the actor establishes an anonymous guest session per run so those are usually available. It never claims completeness: reading every comment, or viewer lists (likers) and view counts, requires a signed-in session and is not supported, so those fields are omitted rather than guessed. If the richer layout is not served for a post, the plain page still provides text, author, date, totals and up to ~10 comments. Counts are a snapshot of the page at the moment the post is opened.

Why are some posts returned without full text?

A small share of indexed post pages show a sign-up wall to logged-out visitors. Those posts are still returned with their link, search snippet, and date, marked contentSource: "serp", instead of being dropped or invented.

What does keywordMatch mean?

It tells you whether every word of your query is visible in the post's text, title, or URL. Posts that do not match are skipped unless includeUnmatched is on, so the dataset does not quietly fill with loosely related posts.

Do I need to set up a proxy?

No. The actor connects to the public index and to public post pages on its own, including a built-in fallback when a connection is refused.

Is this affiliated with LinkedIn?

No. This is an independent, third-party actor. It reads only publicly visible pages, and it is not operated by or affiliated with LinkedIn.

Python quickstart

Use a schema-derived input and the Python standard library to start a run. An Apify account and token are required for execution.

Open the step-by-step Python guide →

Source build zL8UURqaufW1YxiHA. Documentation is regenerated from the default published build; private drafts are not included.