📘 Facebook Reviews Scraper

🚀 Pull reviews from any Facebook page in minutes. Review text, recommendation status, reviewer profile, engagement metrics, page-level stats. No login.

Pull structured records from Facebook Reviews — clean fields ready as CSV, JSON, JSONL, Excel, or XML for downstream pipelines.

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Reviews ➸ You are here	Ads Library Political+commercial ad archive	Pages Page profiles + about	Posts Wall posts + reactions

Copy to your AI assistant

Copy this block into ChatGPT, Claude, Cursor, or any LLM to start using this actor.

parseforge/facebook-reviews-scraper on Apify. Call: ApifyClient("TOKEN").actor("parseforge/facebook-reviews-scraper").call(run_input={...}), then client.dataset(run["defaultDatasetId"]).list_items().items for results. Key inputs: startUrls (array, default [{"url": "https://www.facebook.com/McDonalds/"}]), maxItems (integer, default 10), maxReviewsPerPage (integer), proxyConfiguration (object, default {"useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"]}). Full actor spec: fetch build via GET https://api.apify.com/v2/acts/parseforge~facebook-reviews-scraper (Bearer TOKEN). Get token: https://console.apify.com/account/integrations

Pull live reviews from any Facebook public page. The actor accepts a list of Facebook page URLs, walks each page's reviews, and returns one structured record per review ready for reputation management, sentiment analysis, brand monitoring, or competitive review intelligence.

Every run fetches data live so you get the current state of Facebook at run time. Records include the review text, recommendation status (recommended / not recommended), reviewer name, reviewer profile URL, posted date, like count, comment count, page name, page total review count, and a back-reference URL.

👥 Built for	🎯 Primary use cases
Reputation management	Bulk-export Facebook reviews for response workflows
Brand and social listening	Monitor brand sentiment across pages
Restaurant chains	Aggregate reviews across all locations
Hospitality groups	Track guest sentiment by property
Marketing agencies	Build review-aggregation reports for clients
Researchers	Study customer sentiment across industries

📋 What the Facebook Reviews Scraper does

• 📘 Multi-page batch. Pass multiple page URLs in a single run.
• ⭐ Recommendation status. Captures whether the reviewer recommended the page.
• 👤 Reviewer info. Name, profile URL.
• 📅 Timestamps. Posted date for each review.
• 💬 Engagement metrics. Like and comment counts on the review itself.
• 📊 Page-level stats. Total review count and recommendation rate.

The scraper walks each page's reviews, paginates through all reviews up to maxReviewsPerPage, and pushes structured records to the dataset.

💡 Why it matters: Facebook reviews drive purchase decisions for restaurants, hospitality, retail, and local services but Facebook lacks bulk export. A live, structured pull beats manual scraping for reputation management and competitive intelligence.

📊 Data fields

Each record includes: authorProfilePic, commentCount, isRecommended, pageName, pageUrl, reactionCount, recommendationPercent, results, reviewAuthor, reviewAuthorUrl, reviewDate, reviewId, reviewText, reviewUrl, scrapedAt, tags, totalReviews. These field names come straight from the actor's dataset schema, so what you see here is what lands in your dataset.

🚀 How to use

1. 📝 Sign up. Create a free account with $5 credit (takes 2 minutes).
2. 🌐 Open the Actor. Go to the Facebook Reviews Scraper page on the Apify Store.
3. 🎯 Add page URLs. Paste Facebook page URLs into startUrls and configure cap.
4. 🚀 Run it. Click Start and let the Actor collect your data.
5. 📥 Download. Grab your results in the Dataset tab as CSV, Excel, JSON, or XML.

⏱️ Total time from signup to downloaded dataset: 3-5 minutes. No coding required.

🔗 Recommended Actors

• 📘 Facebook Posts Scraper - Page posts with engagement
• 📘 Facebook Search Scraper - Facebook search results
• 📸 Instagram Posts Scraper - Instagram posts with metadata
• 📱 Reddit Posts Scraper - Subreddit posts
• 🐦 X (Twitter) Scraper - Tweets with engagement

💡 Pro Tip: browse the complete ParseForge collection for more reference-data scrapers.

⚠️ 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 reputation-management use. Users are responsible for compliance with Facebook's Terms of Service, applicable privacy laws, and any data-protection rules that apply.

🆘 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.