LinkedIn Profile Posts Scraper — Posts, Reposts, Reactions, Media & Mentions

Scrape public posts from LinkedIn personal profiles. Extract post text, timestamps, reactions, comment counts, reposts, quote posts, hashtags, mentions, images, videos, documents and linked articles. Process many profiles in one run, filter by date and engagement, and export clean JSON, CSV or Excel.

No LinkedIn login or cookies required. The actor reads LinkedIn's public profile and post pages — the same pages anyone sees without signing in.

✨ What you get

• One row per post, newest first per profile, with a stable postId / urn and canonical postUrl
• Post types normalized: POST, REPOST, QUOTE_POST, ARTICLE
• Reposts are never credited to the wrong person — the row belongs to the profile that reposted; the original post, its author, text, media and engagement sit in originalPost
• Quote posts keep both sides — the profile's commentary in text, the quoted post in originalPost
• Engagement: reactions, comments, and the most common reaction types LinkedIn displays (LIKE, CELEBRATE, SUPPORT, LOVE, INSIGHTFUL, FUNNY)
• Media: images, native video (URL, thumbnail, duration, size), document carousels (page count, cover), article / link cards (URL, title, publisher, thumbnail)
• Hashtags (without #), mentions of people and companies, external links
• Source lineage on every row — sourceProfileUrl, sourceProfileName, input
• Optional top-comments preview (up to 5 per post)
• Free error rows for profiles that could not be read, and a RETRY_INPUT you can re-run

🚀 Quick start

Minimal input

{
    "profiles": ["https://www.linkedin.com/in/satyanadella/"],
    "maxPostsPerProfile": 20
}

Bulk monitoring

{
    "profiles": ["satyanadella", "justinwelsh", "williamhgates"],
    "maxPostsPerProfile": 20,
    "postsNewerThan": "30 days",
    "includeReposts": true,
    "includeQuotePosts": true
}

Date window

{
    "profiles": ["https://www.linkedin.com/in/williamhgates/"],
    "postsNewerThan": "2026-09-01",
    "postsOlderThan": "2026-10-01"
}

Engagement filter (only high-performing original posts)

{
    "profiles": ["justinwelsh"],
    "postsNewerThan": "90 days",
    "minReactions": 100,
    "minComments": 10,
    "includeReposts": false
}

⚙️ Input

Field	Type	Default	Description
profiles	array	["https://www.linkedin.com/in/satyanadella/"]	Profile URLs (/in/<slug>) or bare slugs. Company, job and post URLs are rejected with a free error row.
maxPostsPerProfile	integer	20	Max posts saved per profile, newest first (1–1,000).
postsNewerThan	string	""	24 hours, 7 days, 2 weeks, 3 months, 2026-09-01 or ISO timestamp.
postsOlderThan	string	""	Same formats.
minReactions	integer	0	Skip posts with fewer reactions.
minComments	integer	0	Skip posts with fewer comments.
includeReposts	boolean	true	Include plain reposts.
includeQuotePosts	boolean	true	Include quote posts (repost + commentary).
includeMedia	boolean	true	Include image / video / document / article-card details. Media is linked, never downloaded.
includeReactionBreakdown	boolean	true	Include engagement.topReactionTypes.
includeTopComments	boolean	false	Add a preview of up to 5 top comments per post.
proxyConfiguration	object	Apify Proxy	See the proxy policy below.

📦 Output

The dataset has two views (tabs) in the Apify Console, plus a run summary record:

Tab	What it shows
Posts	Every field of every post — text, type, author, engagement, media, article card, original post, lineage
Engagement	A compact per-post engagement table for benchmarking and monitoring
Run summary	Per-run counts and a per-profile status table (RUN_SUMMARY in the key-value store)

Posts tab — sample record

A real record from a run on satyanadella and williamhgates (all fields):

{
    "rowType": "post",
    "postId": "urn:li:activity:7514393874887270401",
    "urn": "urn:li:activity:7514393874887270401",
    "activityId": "7514393874887270401",
    "postUrl": "https://www.linkedin.com/posts/satyanadella_introducing-microsoft-decision-1-our-new-activity-7514393874887270401-thi6",
    "postType": "POST",
    "text": "Introducing Microsoft-Decision-1, our new model for fast decision-making.\n\nIt delivers top performance on structured decision tasks, outperforming both LLMs and other decision models in latency and quality.\n\nWe’re already testing it across Microsoft for everything from incident response and quality control to scientific discovery.\n\nAvailable now in Foundry and soon through OpenRouter: https://lnkd.in/gNh5aW8b",
    "publishedAt": "2026-10-09T18:38:30.459Z",
    "publishedAtSource": "post",
    "isEdited": false,
    "author": {
        "name": "Satya Nadella",
        "headline": "Chairman and CEO at Microsoft",
        "profileUrl": "https://www.linkedin.com/in/satyanadella/",
        "publicIdentifier": "satyanadella",
        "profileId": "urn:li:member:19186432",
        "profilePictureUrl": "https://media.licdn.com/dms/image/v2/C5603AQHHUuOSlRVA1w/profile-displayphoto-shrink_200_200/profile-displayphoto-shrink_200_200/0/1579726625398?e=2147483647&v=beta&t=Rr7WT9uBM0byOij0oT_KirejIMVE4HK4r8NGIp0zjdI"
    },
    "engagement": {
        "reactionsCount": 5273,
        "commentsCount": 241,
        "repostsCount": null,
        "reactionBreakdown": null,
        "topReactionTypes": [
            "LIKE",
            "CELEBRATE",
            "LOVE"
        ]
    },
    "hashtags": [],
    "mentions": [],
    "media": [
        {
            "type": "VIDEO",
            "url": "https://dms.licdn.com/playlist/vid/v2/D5605AQEGTbLwnI83Fg/mp4-640p-30fp-crf28/B56aEh9ZGNIABk-/0/1791571105798?e=2147483647&v=beta&t=6JrwMMNQcRErvoTGvMWx8RrTtVFr4rsRE3AcPTj4iIo",
            "thumbnailUrl": "https://media.licdn.com/dms/image/v2/D5605AQEGTbLwnI83Fg/videocover-high/B56aEh9ZGNIABM-/0/1791571105315?e=2147483647&v=beta&t=o9-L0_x4GTPEhiSuF_BIiqVx7p3xV7wt975UjUgtLDg",
            "title": null,
            "description": null,
            "width": 1280,
            "height": 720,
            "durationSeconds": 10
        }
    ],
    "article": null,
    "externalLinks": [
        "https://lnkd.in/gNh5aW8b"
    ],
    "isRepost": false,
    "isQuotePost": false,
    "originalPost": null,
    "topComments": [],
    "dataQuality": "FULL",
    "positionInFeed": 1,
    "discoveredVia": "public_profile",
    "sourceProfileUrl": "https://www.linkedin.com/in/satyanadella/",
    "sourceProfileName": "Satya Nadella",
    "input": "https://www.linkedin.com/in/satyanadella/",
    "scrapedAt": "2026-10-10T12:22:24.460Z"
}

Engagement tab — sample record

{
    "sourceProfileName": "Bill Gates",
    "postType": "POST",
    "publishedAt": "2026-10-07T23:11:00.403Z",
    "engagement.reactionsCount": 1355,
    "engagement.commentsCount": 223,
    "engagement.topReactionTypes": [
        "LIKE",
        "INSIGHTFUL",
        "LOVE"
    ],
    "hashtags": [],
    "postUrl": "https://www.linkedin.com/posts/williamhgates_preventing-contrails-those-white-lines-activity-7513737675791646720-T3Y1"
}

Run summary — sample

From the same 2-profile run. Each profile carries its own status, so one failed profile never fails the run:

{
    "inputProfiles": 2,
    "successfulProfiles": 2,
    "failedProfiles": 0,
    "invalidProfiles": 0,
    "postsSaved": 17,
    "duplicatesSkipped": 0,
    "repostsSaved": 2,
    "quotePostsSaved": 4,
    "articlesSaved": 1,
    "postsFound": 17,
    "filteredOut": 0,
    "filteredByDate": 0,
    "filteredByEngagement": 0,
    "filteredByType": 0,
    "cappedByMaxPostsPerProfile": 0,
    "postPagesFetched": 17,
    "postPagesFailed": 0,
    "partialPosts": 0,
    "mediaAvailabilityRate": 88.24,
    "reactionTypesAvailabilityRate": 100,
    "extendedHistoryUsed": false,
    "chargedEvents": 17,
    "unchargedEvents": 0,
    "blockedRequests": 0,
    "rateLimitedRequests": 0,
    "retryCount": 0,
    "runtimeSeconds": 15,
    "scrapedAt": "2026-10-10T12:22:32.383Z",
    "profiles": [
        {
            "input": "https://www.linkedin.com/in/satyanadella/",
            "profileUrl": "https://www.linkedin.com/in/satyanadella/",
            "name": "Satya Nadella",
            "status": "SUCCESS",
            "postCardsFound": 9,
            "postsSaved": 9,
            "postPagesFailed": 0,
            "message": null
        },
        {
            "input": "williamhgates",
            "profileUrl": "https://www.linkedin.com/in/williamhgates/",
            "name": "Bill Gates",
            "status": "SUCCESS",
            "postCardsFound": 8,
            "postsSaved": 8,
            "postPagesFailed": 0,
            "message": null
        }
    ]
}

When some profiles fail with a retryable status, RETRY_INPUT holds the same input narrowed to just those profiles — run it again later.

Repost example

The row is credited to the profile that reposted. The content and its engagement belong to the original post (long fields shortened):

{
    "rowType": "post",
    "postId": "urn:li:activity:7509282507121512449",
    "postUrl": "https://www.linkedin.com/posts/deirdre-bosa-05374518_the-first-db-live-interview-is-live-activity-7509282507121512449-RkPY",
    "postType": "REPOST",
    "text": null,
    "publishedAt": "2026-09-25T16:07:45.419Z",
    "publishedAtSource": "original_post",
    "author": {
        "name": "Satya Nadella",
        "publicIdentifier": "satyanadella"
    },
    "engagement": {
        "reactionsCount": null,
        "commentsCount": null,
        "repostsCount": null,
        "reactionBreakdown": null,
        "topReactionTypes": []
    },
    "isRepost": true,
    "isQuotePost": false,
    "originalPost": {
        "postId": "urn:li:activity:7509282507121512449",
        "postUrl": "https://www.linkedin.com/posts/deirdre-bosa-05374518_the-first-db-live-interview-is-live-activity-7509282507121512449-RkPY",
        "author": {
            "name": "Deirdre Bosa",
            "headline": null,
            "profileUrl": "https://www.linkedin.com/in/deirdre-bosa-05374518/",
            "publicIdentifier": "deirdre-bosa-05374518",
            "profileId": null,
            "profilePictureUrl": "https://media.licdn.com/dms/image/…",
            "type": "PERSON"
        },
        "text": "The first DB Live interview is.... live.\n\nI sat down with Satya Nadella at Microsoft this week around the launch of the new Copilot.\nThe takeaway: Microsoft is …",
        "publishedAt": "2026-09-25T16:07:45.419Z",
        "hashtags": [],
        "mentions": [
            {
                "name": "Microsoft",
                "type": "COMPANY",
                "url": "https://www.linkedin.com/company/microsoft/",
                "publicIdentifier": "microsoft",
                "id": null
            }
        ],
        "media": [
            {
                "type": "VIDEO",
                "url": "https://dms.licdn.com/playlist/vid/v2/D5605AQEIxwTaGN7vYg/mp…",
                "thumbnailUrl": "https://media.licdn.com/dms/image/…",
                "title": null,
                "description": null,
                "width": 1280,
                "height": 720,
                "durationSeconds": 30
            }
        ],
        "article": null,
        "externalLinks": [
            "https://lnkd.in/gzwJK6AC",
            "https://lnkd.in/gn_Gd_KW"
        ],
        "engagement": {
            "reactionsCount": 1204,
            "commentsCount": 129,
            "repostsCount": null,
            "reactionBreakdown": null,
            "topReactionTypes": [
                "LIKE",
                "CELEBRATE",
                "LOVE"
            ]
        }
    },
    "sourceProfileUrl": "https://www.linkedin.com/in/satyanadella/"
}

Quote post example

The profile's commentary stays in text; the quoted post goes in originalPost (shortened):

{
    "postId": "urn:li:activity:7510854041028108288",
    "postType": "QUOTE_POST",
    "text": "Looking forward to seeing how recruiters use our new Hiring Assistant to help connect the right people with the right opportunities!",
    "engagement": {
        "reactionsCount": 918,
        "commentsCount": 147
    },
    "isQuotePost": true,
    "originalPost": {
        "author": {
            "name": "Dan Reid",
            "publicIdentifier": "reiddan",
            "type": "PERSON"
        },
        "text": "At LinkedIn, every day we talk to recruiters around the world, and what we know for certain is that hiring has become more complex. More applications, pressure …",
        "media": [
            {
                "type": "ARTICLE",
                "url": "https://www.linkedin.com/pulse/introducing-hiring-assistant-2-more-advanced-ffdyf",
                "title": "Introducing Hiring Assistant 2: More Advanced Reasoning, Memory and Personalization to Deliver Better Candidate Results",
                "publisher": "LinkedIn Talent Solutions"
            }
        ]
    }
}

Article example

A post publishing the profile's own LinkedIn article (shortened):

{
    "postId": "urn:li:activity:7513980032831078400",
    "postType": "ARTICLE",
    "text": "Our opportunity is to reinvent systems of record for an agentic world, not just build new experiences on top of them, while giving every business an entirely ne …",
    "article": {
        "url": "https://www.linkedin.com/pulse/infinite-saas-factory-satya-nadella-1vwte",
        "title": "The Infinite SaaS Factory",
        "description": null,
        "thumbnailUrl": "https://media.licdn.com/dms/image/…",
        "publisher": "Satya Nadella"
    }
}

Error row (free)

{
    "rowType": "error",
    "status": "INVALID_PROFILE",
    "message": "company / school pages are not supported (personal profiles only)",
    "retryable": false,
    "input": "https://www.linkedin.com/company/microsoft/",
    "sourceProfileUrl": null,
    "scrapedAt": "2026-10-10T11:38:53.554Z"
}

Statuses: SUCCESS, INVALID_PROFILE, PROFILE_NOT_FOUND, PROFILE_UNAVAILABLE, NO_POSTS, RATE_LIMITED, BLOCKED, PARTIAL_RESULT, TEMPORARY_LINKEDIN_ERROR, PROVIDER_ERROR. Error rows are pushed after the posts and are never charged.

❓ FAQ

Which profile inputs are supported? Personal profile URLs (https://www.linkedin.com/in/<slug>/, any country subdomain) and bare slugs (satyanadella). Tracking parameters and fragments are stripped. Duplicates are merged.

Do I need a LinkedIn login or cookies? No. Nothing you enter is a credential, and the actor never signs in.

Can I scrape multiple profiles? Yes — up to 500 per run, processed in parallel.

How far back can posts be retrieved? LinkedIn's public profile view shows each profile's most recent posts — typically 8 to 10. That is what this actor reliably returns today. When the actor's extended-history source is enabled, higher maxPostsPerProfile values reach further back; each row's discoveredVia says which source found it. The actor never invents posts it could not see.

Are reposts included? Yes (toggle includeReposts). They are typed REPOST, credited to the profile that reposted, with the original in originalPost. LinkedIn does not publish when a repost happened, so publishedAt is the original post's date (publishedAtSource: "original_post").

Are quote posts included? Yes (toggle includeQuotePosts). Commentary stays in text, the quoted post in originalPost.

Are reaction types included? LinkedIn's public pages show the total reaction count and the top (up to three) reaction types, not per-type counts. You get reactionsCount and topReactionTypes; reactionBreakdown and repostsCount are null because they are not public — they are never estimated.

Are images and videos included? Yes — images, native video (direct MP4 URL, thumbnail, duration, size), document carousels and article/link cards. Media is linked, not downloaded.

Are hashtags and mentions included? Yes. Hashtags are returned without #; mentions include name, type (PERSON / COMPANY), URL and public identifier.

Can I filter by date? Yes — postsNewerThan / postsOlderThan, relative or absolute. Posts outside the window are skipped before their page is even fetched (the post ID carries its own timestamp), and are never charged.

Can I filter by engagement? Yes — minReactions / minComments. Filtered posts are never charged.

Are comments included? Only a preview: includeTopComments adds up to 5 top public comments per post. The total comment count is always included.

How do I get all comments? Full comment threads are out of scope here; use a dedicated LinkedIn post-comments scraper.

How is pricing calculated? Pay per result: one charge per unique post saved to the dataset after all filters. You are never charged for profile lookups, retries, duplicates, filtered-out posts, error rows or failed profiles. Your per-run spending limit is respected — the actor stops before exceeding it. See the Pricing tab for current rates (this README deliberately doesn't quote figures, since prices can change).

Can I schedule it for monitoring? Yes. Schedule daily or weekly with postsNewerThan set to the schedule interval (e.g. "7 days" for a weekly run) to collect just the new posts.

Can I use it via API or MCP? Yes — like any Apify Actor, through the Apify API, client libraries, integrations (Make, Zapier, n8n) and the Apify MCP server.

🚦 Proxy policy

Use Apify Datacenter proxy (the default) or no proxy for normal runs.

Apify Residential proxy is not supported. The actor fails at startup if apifyProxyGroups includes RESIDENTIAL. Reason: in pay-per-event actors, residential bandwidth is billed to the developer, not the run user, so a single bandwidth-heavy run could exceed the per-result revenue.

If you genuinely need residential routing, supply your own residential provider via the proxy editor's Custom proxy URLs field — that traffic goes through your provider, not Apify:

http://user:pass@proxy.iproyal.com:12321
http://user:pass@proxy.brightdata.com:22225
http://user:pass@proxy.oxylabs.io:7777

⚠️ Limitations

• Personal profiles only — no company-page posts and no keyword post search.
• Depth is limited to what LinkedIn shows publicly (see FAQ).
• Per-reaction-type counts and repost counts are not public and are returned as null.
• A repost's publishedAt is the original post's date.
• LinkedIn answers a non-existent profile and a blocked request with the same response, so such profiles are reported as PROFILE_UNAVAILABLE (or BLOCKED when nothing in the run could be read). Re-run RETRY_INPUT later.
• If a post page cannot be read after retries, the post is still delivered from the profile card with dataQuality: "PARTIAL" (ID, URL, date, counts).

🔗 Related actors

• LinkedIn Profile Scraper (coregent/linkedin-profile-scraper) — full profile data for the authors you track. Use it for profile enrichment; this actor returns lightweight author context only.

⚖️ Compliance & privacy

This is an unofficial tool and is not affiliated with, endorsed by, or connected to LinkedIn. It processes only publicly available professional content that LinkedIn shows to signed-out visitors. Public posts can still contain personal information: collect only what your use case needs, and you are responsible for lawful downstream processing (e.g. GDPR / CCPA). The actor does not collect credentials, harvest cookies, automate accounts, access private content or infer sensitive attributes.