LinkedIn Hashtag Scraper · No Cookies · $1/1k ✅ avatar

LinkedIn Hashtag Scraper · No Cookies · $1/1k ✅

Pricing

$3.00 / 1,000 hashtag post extracteds

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LinkedIn Hashtag Scraper · No Cookies · $1/1k ✅

LinkedIn Hashtag Scraper · No Cookies · $1/1k ✅

Find LinkedIn posts by hashtag. Track competitor campaigns, viral trends, industry conversations. Recency + top-performing sort. No cookies, no login. $1/1k pay-per-post.

Pricing

$3.00 / 1,000 hashtag post extracteds

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LinkedIntel

LinkedIntel

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LinkedIn Hashtag Scraper · No Cookies · $1/1k

Find LinkedIn posts that contain specific hashtags. Track competitor campaigns, viral trends, industry conversations, and the actual voices behind a topic — at LinkedIn's scale, without ever logging in.

Pay-per-result pricing: $1 per 1,000 posts. No subscription, no monthly minimum, no charge for empty queries.


Why this exists — the white-space spot on Apify Store

There is no other dedicated LinkedIn hashtag scraper on Apify. Today's options force you to either:

  • Pay $99/mo for Brand24 (or $41/mo for Mention, or "talk to sales" for Sprinklr) for a broader social-listening suite you don't need, billed monthly whether you pull data or not — and most of these tools deprioritize LinkedIn coverage.
  • Hack around a generic LinkedIn search scraper, paste a hashtag as a keyword, and discover only after running it that you can't filter by date, can't dedup posts across multiple hashtags, and don't get a reaction breakdown.

This actor exists for one job: give me every recent LinkedIn post containing #hashtag, with full author, engagement, and media context, normalized, deduped, and on a per-record price tag.

What you get — 27 fields per post

Every post returned is a hashtagPost record with this shape:

{
"type": "hashtagPost",
"sourceHashtag": "ai",
"postId": "7204318726155931648",
"postUrn": "urn:li:activity:7204318726155931648",
"postUrl": "https://www.linkedin.com/posts/...",
"authorName": "Jane Founder",
"authorHeadline": "Building autonomous agents @ Acme",
"authorUrl": "https://www.linkedin.com/in/jane-founder/",
"authorUrn": "urn:li:fsd_profile:ABC123",
"authorType": "person",
"text": "Just shipped our biggest AI release of 2026...",
"textLength": 412,
"postedAt": "2026-05-18T14:32:00+00:00",
"language": "en",
"reactionCount": 487,
"likeCount": 312,
"empathyCount": 24,
"praiseCount": 95,
"interestCount": 42,
"funnyCount": 3,
"appreciationCount": 11,
"maybeCount": 0,
"commentCount": 38,
"shareCount": 6,
"repostCount": 14,
"mediaType": "image",
"mediaUrl": "https://media.licdn.com/dms/...",
"isRepost": false,
"originalAuthorName": null,
"hashtagsFound": ["ai", "agents", "shipit"],
"mentions": ["acmecorp", "openai"],
"scrapedAt": "2026-05-19T08:12:44+00:00"
}

Each run also emits one summary record at the end with per-hashtag counts, and a diagnostic record per hashtag if zero posts come back.

Top use cases

1. Track competitor product-launch campaigns

Monitor #yourcompetitor daily — every time a customer, employee, or partner mentions them on LinkedIn, you see the post, the reaction count, and the engagement context.

Pull #blackfriday, #cybermonday, #ces2026 during big moments. Sort by top to see what's actually winning attention.

3. Industry pulse & trend research

Monthly snapshot of #generativeai, #climatetech, or any vertical hashtag — count posts, top authors, dominant themes, reaction patterns.

4. Conference & event tracking

Conference-week scraping of #saastr, #dreamforce, #websummit — get the speakers, sponsors, and attendees actually posting. Better lead lists than the official attendee list.

5. UGC discovery for brand marketing

Monitor #yourbrand to find customer-generated content you can amplify, reshare with permission, or feature in case studies.

6. Influencer + creator sourcing

Pull #yourtopic posts sorted by top — sort the output by reactionCount and you have a list of the actual influential creators on that topic, not the LinkedIn-curated "voice" list.

7. Recruiter sourcing for niche skills

#rustlang, #kubernetes, #designsystems — find the people actively posting in your hiring funnel's keyword space.

Pricing — why $1 per 1,000 posts is unbeatable

ToolPricingMonthly minimumLinkedIn-specific
Brand24$99 / mo (Personal) → $499 / moYes — fixedMulti-channel, LinkedIn is one of many
Mention$41 / mo → $179 / moYes — fixedMulti-channel
SprinklrEnterprise, "contact sales"Yes — typically $1k+ / moMulti-channel
Hootsuite Insights / Brandwatch$$$$, enterprise contractsYesMulti-channel
Generic Apify LinkedIn search$1.50/1k posts, no dedup, no date filter, no breakdownNoneLinkedIn, but blunt instrument
This actor$1 / 1,000 postsNoneLinkedIn-only, hashtag-purpose-built

Apify gives every user $5 of free platform credit per month — that's ~5,000 posts/month free before you ever pay a cent.

Example recipes

Track a competitor launch — last 7 days

{
"hashtags": ["youraicompetitor"],
"sortBy": "recent",
"dateFrom": "2026-05-12",
"maxPostsPerHashtag": 200
}

Top-performing AI posts in 2026 so far

{
"hashtags": ["ai", "generativeai", "llm"],
"sortBy": "top",
"dateFrom": "2026-01-01",
"maxPostsPerHashtag": 500
}

English-only Black Friday posts

{
"hashtags": ["blackfriday", "cybermonday"],
"sortBy": "top",
"languagesFilter": ["en"],
"maxPostsPerHashtag": 300
}

Pulse-check #ces2026 around the event

{
"hashtags": ["ces2026", "ces"],
"dateFrom": "2026-01-06",
"dateTo": "2026-01-12",
"maxPostsPerHashtag": 1000
}

How it works

  1. You provide one or more hashtags (with or without #).
  2. The actor strips #, lowercases, and deduplicates your input.
  3. For each hashtag, it paginates LinkedIn's public hashtag-search results until it hits maxPostsPerHashtag (or the data runs out).
  4. Posts are deduplicated across hashtags by post ID — if #ai and #generativeai both surface the same post, you're billed once.
  5. Date and language filters are applied client-side (the vendor's hashtag search returns posts globally; we then keep only the ones inside your window).
  6. The final dataset is a flat list of hashtagPost records plus a single summary row.

No login. No cookies. No browser sessions. No account ban risk. The actor uses a managed data partnership for cookieless LinkedIn access — your LinkedIn account never touches this.

FAQ

Q: Why isn't there a dedicated LinkedIn hashtag scraper on Apify Store already? Hashtag scrapers exist for X/Twitter, Instagram, TikTok — but the vendors that crawl LinkedIn publicly haven't packaged a hashtag-specific tool. We built this on top of LinkedIn's public hashtag-search endpoint, with the dedup + filter + normalization layer that makes it actually useful for marketing teams.

Q: How fresh is the data? Posts surface within minutes of being published on LinkedIn, just like they would for any logged-out browser visiting the hashtag search page.

Q: Does sortBy: top always work? LinkedIn supports top for most hashtags. For very long-tail / low-volume hashtags it may fall back to recency. Either way, you get posts.

Q: What's the max posts I can pull per hashtag in one run? 1,000, capped at the vendor level. To go deeper, run the actor on a schedule (daily, hourly) and append.

Q: Can I run multiple hashtag scrapes in parallel? Yes — kick off as many runs as you want on the Apify platform. Each one is billed independently per-record.

Q: Why are some reaction breakdown fields missing? LinkedIn returns reaction breakdown only when a post has enough engagement to split it. Posts with single-digit reactions usually only get reactionCount populated, not per-type counts.

Compliance & disclaimer

This actor scrapes publicly accessible LinkedIn hashtag search results — the same content any logged-out visitor sees by browsing linkedin.com/feed/hashtag/....

  • No private profile data, no gated content, no DMs, no anything-behind-login.
  • LinkedIn user content is subject to LinkedIn's Terms of Use and applicable copyright laws.
  • Customers are responsible for compliance with applicable data protection laws (GDPR, CCPA, etc.) when processing scraped data — particularly when post text contains personal information.
  • Not affiliated with, endorsed by, or sponsored by LinkedIn Corporation or Microsoft Corporation. "LinkedIn" is a trademark of LinkedIn Corporation, used here solely for descriptive purposes.