Best LinkedIn Post Scraper Tools Compared (2026)

The best LinkedIn post scraper for most users in 2026 is the LinkedIn Post Scraper (no cookies) on Apify, at $0.004 per post with no login required. For higher-volume search-based extraction, curious_coder/linkedin-post-search-scraper is a solid alternative but requires cookies. Below is a side-by-side breakdown of the 7 most-used LinkedIn post scrapers, including pricing, auth requirements, and which one fits each scraping job.

Quick Answer

The top LinkedIn post scraper in 2026 is the no-cookies Apify actor at $0.004 per post because it skips authentication entirely, eliminating account-ban risk. For comparison, cookie-based scrapers like curious_coder/linkedin-post-search-scraper run ~$0.50 per 1,000 posts but require a valid li_at session cookie that expires every ~30 days. PhantomBuster and TexAu sit at the high end ($30–$80/month with strict daily limits), while custom Puppeteer scripts work but routinely break when LinkedIn updates its DOM. Choose no-cookie actors for reliability, cookie-based for deep search, and SaaS tools only if you need a UI.

What is a LinkedIn post scraper?

A LinkedIn post scraper is a tool or script that programmatically extracts public post data — author, text, images, videos, reaction counts, comment counts, and timestamps — from LinkedIn profiles, company pages, or hashtag feeds. Most operate in one of three ways:

1. No-cookie scrapers — Hit public LinkedIn URLs through residential proxies, parse the HTML/JSON server response.
2. Cookie-based scrapers — Use your li_at session cookie to access logged-in views and search results.
3. API-style SaaS — Wrap the above into a dashboard with scheduling (PhantomBuster, TexAu, Bright Data).

The data is typically returned as JSON or CSV with fields like postUrl, authorName, text, likesCount, commentsCount, mediaUrls, and postedAt.

What are the best LinkedIn post scraper tools in 2026?

Here's the full comparison table covering price, auth requirement, and best use case:

1. LinkedIn Post Scraper (no cookies) — Apify

The cheapest reliable option for most workloads. At $0.004 per successful event, scraping 10,000 posts costs $40 total. Critically, it doesn't need your LinkedIn cookie, which means:

• No risk of account suspension
• No 30-day cookie expiration
• No need to rotate accounts

Inputs accept profile URLs, company URLs, and hashtag URLs. Output includes text, author, reactions, commentsCount, mediaUrls, postUrl, and postedAt. Pay-per-event billing means you're never charged for failed requests — a meaningful difference from compute-unit pricing where retries eat your budget.

2. curious_coder/linkedin-post-search-scraper

The go-to for keyword search across LinkedIn. If you need every post mentioning "AI agents" in the last 7 days regardless of author, this is the tool. The catch: it requires a li_at cookie from a logged-in LinkedIn account. Use a burner account — never your main one. Pricing lands around $0.50 per 1,000 posts, but factor in account replacement cost when you get rate-limited.

3. harvestapi/linkedin-post-scraper

Comparable feature set to the no-cookie scraper at a slightly higher $0.005/post. Good fallback if the first option is rate-limited on a specific profile.

4. PhantomBuster

The non-technical option. UI-driven, schedules built in, Slack/email alerts. The downsides: $69/month minimum, hard daily limits (~80 profiles/day on starter plans), and you must connect your LinkedIn account via cookie. For a developer scraping 10,000 posts, this works out to roughly 17× the cost of the Apify no-cookie actor.

5. TexAu

Similar positioning to PhantomBuster but with stronger workflow chaining (scrape posts → enrich profiles → push to Airtable). Pricing starts at $29/month with limited execution time, scaling to $199 for teams.

6. Bright Data LinkedIn Dataset

Enterprise-tier. Pay $0.001/record on volume, but minimum spend is typically $500. Worth it if you need 1M+ posts/month and SLAs. Overkill for anything smaller.

7. Custom Puppeteer scrapers

Free in theory, expensive in practice. You'll spend 15–40 hours building, plus $50–200/month on residential proxies, plus maintenance every time LinkedIn ships a DOM change (roughly every 6–8 weeks). Only worth it if scraping is your core product.

How much does it cost to scrape LinkedIn posts?

Cost per 10,000 posts across the main tools:

• LinkedIn Post Scraper (no cookies): $40
• harvestapi/linkedin-post-scraper: $50
• curious_coder search scraper: ~$5 (cheapest, but cookie risk)
• Bright Data: $10 (but $500 minimum)
• PhantomBuster: $69+/month with rate limits — effectively $69 if you can hit 10k in a month
• Custom build: $200+ in proxies plus 20+ engineer hours

For most teams scraping under 100k posts/month, the no-cookie Apify actor is the lowest total cost of ownership once you factor in maintenance and ban risk.

Is scraping LinkedIn posts legal?

Scraping publicly available LinkedIn data has been upheld as legal in hiQ Labs v. LinkedIn (9th Circuit, 2022). However:

• LinkedIn's Terms of Service prohibit automated access — violating ToS isn't a crime but can get your account banned.
• Scraping non-public data (behind login walls you bypass via cookie) is a much grayer area.
• GDPR/CCPA still apply — if you store personal data from EU/California users, you need a lawful basis and must respect deletion requests.

Practical guideline: stick to public posts, don't scrape personal contact info, and use no-cookie tools to avoid ToS violations from your authenticated account.

How do I choose the right LinkedIn scraper for my use case?

Match the tool to the job:

• Tracking 50 competitor companies' posts daily → No-cookie Apify actor. ~$6/month for ~1,500 posts.
• Keyword research across all of LinkedIn → curious_coder search scraper with a burner cookie.
• Lead gen team that won't touch code → PhantomBuster.
• Building a SaaS product on top of LinkedIn data → Bright Data for compliance + volume, or no-cookie Apify for MVP.
• Scraping one profile, one time → LinkedIn's own "export your data" feature is free.

How do I scrape LinkedIn posts without getting blocked?

Three things matter more than tool choice:

1. Don't use your real account cookie. Use no-cookie scrapers when possible. If you must use a cookie, use a burner account you can afford to lose.
2. Respect rate limits. Even public-data scrapers should stay under ~1 request/second per IP. Managed actors handle this for you.
3. Use residential proxies. Datacenter IPs get flagged within hundreds of requests. Apify actors include proxy rotation by default.

The no-cookie Apify actor handles all three internally — you just pass URLs and get JSON back.

FAQ

Q: What's the cheapest LinkedIn post scraper? The curious_coder search scraper is technically cheapest at ~$0.50 per 1,000 posts, but requires a LinkedIn cookie and risks account bans. For no-risk scraping, the no-cookies Apify actor at $0.004/post is the best value.

Q: Can I scrape LinkedIn posts without logging in? Yes. No-cookie scrapers like the Apify LinkedIn Post Scraper hit public post URLs directly through residential proxies. You never authenticate, so there's no account to ban and no cookie to expire.

Q: How many posts can I scrape per hour? Apify actors typically process 500–2,000 posts/hour depending on memory allocation and target type. Hashtag and search scraping is slower than direct profile/company scraping because LinkedIn paginates those feeds more aggressively.

Q: Does the Apify LinkedIn Post Scraper work for company pages? Yes. Pass any public company page URL (e.g., linkedin.com/company/microsoft/posts/) and it returns the same structured output as profile scraping: text, author, reactions, comments count, media URLs, and timestamp.

Q: What data fields can I extract from a LinkedIn post? Standard output includes post text, author name and profile URL, post URL, posting date, reaction count, comment count, and media URLs (images/videos). Comment text itself is usually a separate scraper since it requires additional requests per post.