Facebook Reviews Scraper

⭐ Turn public Facebook Page feedback into structured data

Facebook Reviews Scraper helps developers, agencies, analysts, and business teams collect public Facebook Page recommendations. Export source-backed recommendation text, status, timestamps, engagement, Page details, and public reviewer details to an Apify dataset without supplying Facebook credentials.

• Facebook reviews scraper — collect public Page recommendations as structured rows.
• Facebook Page reviews export — export recommendation text, status, timestamps, and source links for analysis.
• Facebook recommendations monitoring — revisit public Page feedback with scheduled Actor runs.
• Recent Facebook reviews — inspect recommendations newest first when source dates are available.
• Facebook review engagement analysis — compare visible reaction, comment, and share totals.

📦 Data you can export

Each successful dataset row represents one public Facebook recommendation and can contain:

• recommendationId and recommendationUrl — Facebook's source identifier and direct public URL.
• createdAt, text, and recommendationStatus — publication time, recommendation text, and recommends or doesNotRecommend when exposed.
• legacyRating and tags — a legacy source rating and visible recommendation tags when exposed.
• reactionCount, reactions, commentCount, and shareCount — visible engagement totals and reaction breakdowns when available.
• page — the reviewed Page's ID, name, and public URL.
• reviewer — public reviewer ID, name, profile URL, and profile image when exposed.
• media — source-hosted media details attached to the recommendation when available.
• comments — collected top-level comments and direct replies when requested and available.

Facebook does not expose every value on every recommendation. Missing values are omitted rather than inferred; the Actor does not fabricate star ratings, statuses, identities, or engagement.

🚀 How to run the Actor

1. Add one or more Facebook Page handles, Page URLs, reviews URLs, or numeric Page IDs under Facebook Pages.
2. Set a per-Page limit of up to 100 recommendations and a run-wide recommendation limit.
3. Set comment and reply limits if you want the Actor to request those source-available details; use 0 to exclude them.
4. Start the Actor, then open the default dataset to inspect or export saved recommendations.

⚙️ Input

{
  "pageTargets": [
    "nasa",
    "https://www.facebook.com/nasa/reviews"
  ],
  "maxCommentsPerRecommendation": 3,
  "maxRepliesPerComment": 2,
  "maxRecommendationsPerPage": 50,
  "maxRecommendations": 100
}

Field	Purpose
pageTargets	Required list of Page handles, Page URLs, reviews URLs, or numeric Page IDs.
maxCommentsPerRecommendation	Maximum source-available top-level comments requested per recommendation; 0 excludes comments.
maxRepliesPerComment	Maximum direct replies requested per included comment.
maxRecommendationsPerPage	Maximum recommendations collected from each Page, capped at 100.
maxRecommendations	Maximum recommendations collected across the run.

🧾 Output

This syntactically valid example uses only public dataset fields. Optional fields may be absent when Facebook does not expose them.

{
  "recommendationId": "1234567890",
  "recommendationUrl": "https://www.facebook.com/example/reviews/1234567890",
  "createdAt": "2026-05-11T12:56:47.000Z",
  "recommendationStatus": "recommends",
  "text": "Helpful service and a smooth visit.",
  "tags": ["Great service"],
  "reactionCount": 4,
  "commentCount": 1,
  "shareCount": 0,
  "page": {
    "id": "123456789",
    "name": "Example Page",
    "url": "https://www.facebook.com/example"
  },
  "reviewer": {
    "id": "987654321",
    "name": "Example Reviewer",
    "url": "https://www.facebook.com/example-reviewer",
    "profilePictureUrl": "https://example.com/profile.jpg"
  }
}

💳 Pricing

This Actor uses pay-per-event pricing. A recommendation event is charged only when one accepted public Facebook recommendation is saved. Empty runs, invalid targets, setup work, comments, replies, and media do not create separate recommendation events.

Use the total and per-Page recommendation limits to bound how many recommendations a run can save.

🔌 Integrations

Use Apify API clients, webhooks, schedules, and dataset exports to move saved rows into spreadsheets, BI tools, databases, or your own application.

❓ FAQ

Does the Actor return Facebook star ratings?

Facebook commonly exposes Page feedback as a recommendation status rather than a star rating. legacyRating appears only when Facebook explicitly exposes a legacy rating.

What happens when Facebook does not expose a recommendation status or optional field?

The unavailable field is omitted. The Actor does not substitute unknown, invent a status, or create placeholder data.

Does it need a Facebook login, cookies, or Meta API key?

No. It collects publicly accessible Page recommendations without asking you for Facebook credentials, cookies, or a Meta API key.

Can it access private or login-only reviews?

No. Private, removed, login-only, or otherwise inaccessible Facebook content is outside its scope.

Which Facebook Page identifiers can I submit?

The input accepts Page handles, full Page URLs, reviews URLs, and numeric Page IDs. Unsupported or unresolved targets do not become dataset rows.

Why might a Page return fewer recommendations than its limit?

A limit is a maximum, not a promised count. Facebook may expose fewer public recommendations, omit fields, or make a target unavailable.

Why use this instead of the Meta API?

The Meta API is designed for approved apps and permissioned workflows. This Actor exports publicly accessible Page recommendations without requiring your own Meta app or API key; it does not provide private or permissioned data.

⚖️ Legal and responsible use

Use the Actor only for lawful purposes and follow applicable privacy, data-protection, and platform rules. You are responsible for how you store and use collected public data.

📝 Changelog

• 0.0.1: Initial release.

🆘 Support

For issues, questions, or feature requests, file a ticket and I'll fix or implement it in less than 24h 🫡

🔗 Related Actors

• AmbitionBox Reviews Scraper — collect public employee reviews with ratings, pros, cons, and workplace context.
• DoorDash Reviews Scraper — collect public restaurant review previews from DoorDash store pages.
• TeamBlind Reviews Scraper — export public company reviews for employer and workplace research.
• Apple App Store Scraper — collect public iOS app reviews alongside App Store metadata.
• Google Play Store Scraper — export public Android app reviews and developer replies.

Made with ❤️ by Maxime Dupré