Facebook Posts Scraper
Pricing
Pay per event
Facebook Posts Scraper
Collect public posts from any Facebook page or profile using URLs or slugs. Export structured results with post text, reactions breakdown, comments, media URLs, video detection, and engagement metrics to support social listening, content analysis, competitor monitoring, and recurring research.
Pricing
Pay per event
Rating
0.0
(0)
Developer
ParseForge
Maintained by CommunityActor stats
0
Bookmarked
68
Total users
18
Monthly active users
6 days ago
Last modified
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π Facebook Posts Scraper
π Pull Facebook posts from any public page in minutes. Text, reactions, comments, shares, media, video flag, engagement metrics. No login.
| Pull structured records from Facebook Posts β clean fields ready as CSV, JSON, JSONL, Excel, or XML for downstream pipelines. |
| Related Scrapers | |||
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Β Posts βΈ You are here |
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Β Pages Page profiles + about |
Β Reviews Business page ratings |
Copy to your AI assistant
Copy this block into ChatGPT, Claude, Cursor, or any LLM to start using this actor.
parseforge/facebook-posts-scraper on Apify. Call: ApifyClient("TOKEN").actor("parseforge/facebook-posts-scraper").call(run_input={...}), then client.dataset(run["defaultDatasetId"]).list_items().items for results. Key inputs: startUrls (array, default [{"url": "https://www.facebook.com/cern/"}]), maxItems (integer, default 10), pageSlugs (array), minPostDate (string), maxPostDate (string), maxConcurrency (integer, default 1). Full actor spec: fetch build via GET https://api.apify.com/v2/acts/parseforge~facebook-posts-scraper (Bearer TOKEN). Get token: https://console.apify.com/account/integrations
Pull live posts from Facebook public pages and profiles. The actor accepts a list of page URLs (or slugs), walks each page's feed, and returns one structured record per post ready for social listening, brand monitoring, content research, or competitive intelligence.
Every run fetches data live so you get the current state of Facebook at run time. Records include the post URL, post text, author name, post date, reaction counts (like, love, wow, haha, sad, angry), comment count, share count, media URLs (images and videos), video flag, and a back-reference URL.
| π₯ Built for | π― Primary use cases |
|---|---|
| Brand and social listening | Monitor brand mentions across pages |
| Content marketers | Track competitor posting cadence and engagement |
| PR and crisis monitoring | Watch for reputation events in real time |
| Researchers | Study public discourse and content velocity |
| Marketing and growth | Identify high-performing post formats |
| App developers | Power archival and analytics products |
π What the Facebook Posts Scraper does
- π Two input formats. Page URLs or page slugs (e.g. cern, nasa, bbcearth).
- π Date range filter. minPostDate and maxPostDate for time-bounded scrapes.
- β€οΈ Reaction breakdown. Count of like, love, wow, haha, sad, angry reactions.
- π Engagement metrics. Comment count, share count.
- π₯ Media detection. Image URLs, video URLs, video flag.
- π Per-post back-reference. Canonical post URL.
The scraper walks each page's feed, extracts post metadata, and pushes structured records to the dataset.
π‘ Why it matters: Facebook public pages remain a primary source of brand and creator content but the platform's UI lacks bulk export. A live, structured pull beats manual scraping for social listening, brand monitoring, and competitive content research.
π Data fields
Each record includes: comments, facebookId, facebookUrl, feedbackId, imageUrl, inputUrl, isReel, isShared, isVideo, likes, link, media, mediaType, mediaUrl, pageName, postId, reactionAngryCount, reactionCareCount, reactionHahaCount, reactionLikeCount, reactionLoveCount, reactionSadCount, reactionWowCount, scrapedAt, sharedFrom, shares, text, thumbnailUrl, time, timestamp, topReactionsCount, url, videoUrl. All 33 field names come from a real production run, so what you see here is what lands in your dataset.
β οΈ Good to Know: the actor only processes public pages and profiles. Private pages and groups behind login are not accessible.
π How to use
- π Sign up. Create a free account with $5 credit (takes 2 minutes).
- π Open the Actor. Go to the Facebook Posts Scraper page on the Apify Store.
- π― Set inputs. Add page URLs or slugs and optional date filters.
- π Run it. Click Start and let the Actor collect your data.
- π₯ Download. Grab your results in the Dataset tab as CSV, Excel, JSON, or XML.
β±οΈ Total time from signup to downloaded dataset: 3-5 minutes. No coding required.
π Recommended Actors
- π Facebook Reviews Scraper - Page reviews and ratings
- π¦ X (Twitter) Scraper - Tweets with engagement
- πΈ Instagram Posts Scraper - Instagram posts with metadata
- π± Reddit Posts Scraper - Subreddit posts with comments
- πΌ LinkedIn Posts Scraper - LinkedIn posts from profiles
π‘ Pro Tip: browse the complete ParseForge collection for more reference-data scrapers.
β οΈ Disclaimer. This Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by Meta or Facebook. All trademarks mentioned are the property of their respective owners. The scraper accesses only publicly available pages and is intended for legitimate research, analytics, and brand-listening use. Users are responsible for compliance with Facebook's Terms of Service and applicable law.
π Need Help?
If you hit a bug, have questions about setup, or need a scraper we haven't built yet, open our contact form or write to parseforge@protonmail.com. We also take on paid custom data projects.
For faster answers, join our Discord. It's the best place to get support and suggest new actors.
