Facebook Reviews Scraper

Facebook Reviews Scraper

Facebook Reviews Scraper is a production-ready Facebook business page reviews scraper that lets you scrape Facebook page reviews at scale and export structured data for analysis. This Facebook review extractor solves the pain of manually collecting ratings, review text, authors, timestamps, and links by automating the process with cursor-based GraphQL pagination and robust proxy fallback. It’s built for marketers, developers, data analysts, and researchers who need to scrape Facebook page reviews, run automated Facebook reviews scraping in bulk, and export Facebook reviews to CSV, JSON, or via API. With this Facebook page reviews crawler, you can turn public Page feedback into actionable insights at scale. 🚀

What data / output can you get?

Below are the exact fields this Facebook reviews scraper tool outputs. Each review is pushed as a separate JSON record, and you can export Facebook reviews to CSV, JSON, or Excel.

Data field	Description	Example value
facebookUrl	The Facebook page URL where the review was posted	https://www.facebook.com/mrbeast
id	Unique review identifier (Base64-like string)	UzpfSTYxNTg0MzE3MjA0OTY4OjEyMjEwOTkzMzE4OTE0MzkwNjoxMjIxMDk5MzMxODkxNDM5MDY=
user.id	Reviewer’s Facebook ID	pfbid022DhB36PVT9anEH47J7WQu78JYMNhaEGeHHKAhyPXJVNjusrH3TCierbYBcaA7NTBl
user.name	Reviewer’s display name	Helen Head
user.profileUrl	Link to reviewer’s profile	https://www.facebook.com/people/Helen-Head/pfbid022DhB36PVT9anEH47J7WQu78JYMNhaEGeHHKAhyPXJVNjusrH3TCierbYBcaA7NTBl/
user.profilePic	Profile picture URL (may be null)	null
date	Review creation date (ISO 8601, UTC)	2025-12-23T18:12:27.000Z
url	Direct link to the review post	https://www.facebook.com/permalink.php?story_fbid=…
isRecommended	Whether the reviewer recommended the page	true
text	Full review text	"I'm at the homeless shelter in Alexandria Virginia…"
likesCount	Number of likes on the review	1
commentsCount	Number of comments on the review	0
facebookId	Facebook feedback ID	ZmVlZGJhY2s6MTIyMTA5OTMzMTg5MTQzOTA2
postFacebookId	Facebook post ID	122109933189143906
pageName	Name of the Facebook page being reviewed	MrBeast

Bonus: Results are also saved in the Key-Value Store aggregated by page name under key OUTPUT for easy retrieval via the Facebook reviews API (Apify dataset and key-value store APIs).

Key features

• 🔁 Smart proxy fallback & anti-blocking
  Automatic multi-stage proxy strategy: starts with no proxy, then datacenter, then residential with retries if needed. Transitions are logged for transparency.

• ⚙️ Automatic URL normalization
  Paste Facebook URLs or usernames and the tool converts them into the correct /reviews endpoints for you.

• 📜 Cursor-based pagination with deduplication
  Uses Facebook’s GraphQL cursor system to paginate and collect all available reviews while avoiding duplicates by ID.

• 🧮 Flexible sorting
  Sort results by newest, oldest, or most relevant (likes + comments), so you can prioritize what matters.

• 📦 Bulk Facebook reviews scraper
  Process multiple pages at once with concurrent workers for faster throughput in large projects.

• 🔗 Instant dataset streaming + aggregated output
  Each review is pushed to the dataset immediately for real-time visibility, and a grouped JSON is saved to Key-Value Store under OUTPUT.

• 🧰 Developer friendly (API & Python)
  Built in Python with the Apify SDK. Integrate results via the Facebook reviews API endpoints or plug into your Facebook reviews scraper Python pipelines.

• 📤 Easy exports
  Export Facebook reviews to CSV, JSON, or Excel from the Apify dataset UI or programmatically.

• 🛡️ Production-ready reliability
  Retries for empty batches, robust error handling, polite delays, and clear logging make it suitable for automated Facebook reviews scraping.

How to use Facebook Reviews Scraper - step by step

1. Sign in to Apify
   Create a free account at https://console.apify.com and log in.

2. Open the actor
   Search for “Facebook Reviews Scraper” in the Apify Console and open it.

3. Add input data

   • In the Input tab, paste Facebook page URLs or usernames into inputs (e.g., https://www.facebook.com/mrbeast or mrbeast).
   • Optionally add sortOrder (newest, oldest, most_relevant), set maxItems per page, and configure proxyConfiguration.

4. Configure proxies (optional)
   By default, no proxy is used. If needed, enable Apify Proxy or let the actor auto-fallback to datacenter/residential proxies when blocked.

5. Start the run
   Click Start. The actor normalizes inputs, resolves dynamic IDs, and begins GraphQL pagination to scrape Facebook page reviews.

6. Monitor progress
   Watch logs for pagination, deduping status, and proxy stage transitions. Reviews are streamed to the dataset as they’re discovered.

7. Access your results

   • Dataset tab: view individual review records.
   • Key-Value Store: open key OUTPUT for aggregated results grouped by page name.

8. Export your data
   Export to CSV, JSON, or Excel directly from the Dataset or fetch via API for your workflows.

Pro Tip: Connect the dataset to your BI stack, CRM, or use Make.com/n8n to automate “download Facebook page reviews” workflows end-to-end.

Use cases

Use case	Description
Reputation management for brands	Monitor ratings and review text to track sentiment and engage customers across multiple Facebook business pages.
Competitor analysis	Compare engagement (likes/comments) and themes across competitors using a Facebook ratings and reviews scraper.
Local SEO & listings	Aggregate reviews from public pages to inform local SEO strategies and store performance benchmarks.
Social listening	Use the Facebook page reviews crawler to extract public feedback for topic modeling and trend detection.
Customer service ops	Route high-engagement reviews to support teams and measure response impact with structured metrics.
Market research & insights	Analyze review content and timestamps across segments using automated Facebook reviews scraping.
Data pipelines & dashboards	Pull results via Facebook reviews API endpoints (Apify) into warehouses, notebooks, or dashboards.
Academic research	Collect public user feedback for studies on platform behavior and consumer sentiment.

Why choose Facebook Reviews Scraper?

• 🎯 Precision-first extraction: Structured fields for reviewer, content, engagement, and page metadata, ready for analysis.
• 🌍 Scales globally: Handles bulk inputs and pagination, ideal for multi-page and multilingual datasets.
• 👩‍💻 Developer-ready: API-friendly outputs for Facebook reviews downloader and Facebook reviews scraper Python workflows.
• 🔒 Safe-by-design: Built for publicly available data only; no login or private content is accessed.
• ⚙️ Automation-friendly: Works well with automation platforms (Make, n8n, Zapier) for scheduled and bulk runs.
• 🧱 More reliable than extensions: Robust retries, concurrent requests, and proxy fallback outperform fragile browser add-ons.
• 💾 Flexible exports: Export Facebook reviews to CSV/JSON/Excel or consume directly via API for analytics pipelines.

Bottom line: a stable, scalable Facebook reviews scraper tool you can trust in production.

Is it legal / ethical to use Facebook Reviews Scraper?

Yes—when done responsibly. This actor scrapes only publicly available Facebook page reviews and does not access private or authenticated content. To use it ethically and compliantly:

• Collect public data only and avoid private profiles or gated content.
• Review and comply with Facebook’s Terms of Service and Apify’s Terms.
• Follow applicable data protection laws (e.g., GDPR, CCPA).
• Use the data responsibly and avoid spam or misuse.

Always consult your legal team for edge cases or jurisdiction-specific requirements.

Input parameters & output format

Example input JSON

{
  "inputs": [
    "https://www.facebook.com/mrbeast",
    "tesla",
    "nike"
  ],
  "sortOrder": "newest",
  "maxItems": 100,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}

Parameters

• inputs (array, required): List of Facebook page URLs (e.g., https://www.facebook.com/mrbeast) or usernames (e.g., mrbeast). Keywords require resolvable page context.
• maxItems (integer, optional, default: 100, min: 1, max: 10000): Maximum number of reviews to scrape per page. Pagination stops once this limit is reached.
• proxyConfiguration (object, optional, default: {"useApifyProxy": false}): Choose which proxies to use. By default, no proxy is used. If Facebook rejects or blocks requests, it will automatically fall back to datacenter, then residential proxies with retries.
• sortOrder (string, optional, default: "newest"): Sorting mode for results. Supported values in code: newest, oldest, most_relevant.

Note: sortOrder is accepted by the actor logic and controls post-run sorting.

Example dataset record (single review)

{
  "facebookUrl": "https://www.facebook.com/mrbeast",
  "id": "UzpfSTYxNTg0MzE3MjA0OTY4OjEyMjEwOTkzMzE4OTE0MzkwNjoxMjIxMDk5MzMxODkxNDM5MDY=",
  "user": {
    "id": "pfbid022DhB36PVT9anEH47J7WQu78JYMNhaEGeHHKAhyPXJVNjusrH3TCierbYBcaA7NTBl",
    "name": "Helen Head",
    "profileUrl": "https://www.facebook.com/people/Helen-Head/pfbid022DhB36PVT9anEH47J7WQu78JYMNhaEGeHHKAhyPXJVNjusrH3TCierbYBcaA7NTBl/",
    "profilePic": null
  },
  "date": "2025-12-23T18:12:27.000Z",
  "url": "https://www.facebook.com/permalink.php?story_fbid=pfbid036zKdeTsZRHzcZspm8CNjzv3jSuSQFmbjNc6h4FPwLvsBmjYU3ibcHqX4HSukzQakl&id=61584317204968",
  "isRecommended": true,
  "text": "I'm at the homeless shelter in Alexandria Virginia Prince William county building and there's a lot of us that are homeless that should have a Christmas maybe someone should help us all out show people love...",
  "likesCount": 1,
  "commentsCount": 0,
  "facebookId": "ZmVlZGJhY2s6MTIyMTA5OTMzMTg5MTQzOTA2",
  "postFacebookId": "122109933189143906",
  "pageName": "MrBeast"
}

Aggregated Key-Value Store output (key: OUTPUT)

{
  "MrBeast": [
    {
      "facebookUrl": "https://www.facebook.com/mrbeast",
      "id": "UzpfSTYxNTg0MzE3MjA0OTY4OjEyMjEwOTkzMzE4OTE0MzkwNjoxMjIxMDk5MzMxODkxNDM5MDY=",
      "user": {
        "id": "pfbid022DhB36PVT9anEH47J7WQu78JYMNhaEGeHHKAhyPXJVNjusrH3TCierbYBcaA7NTBl",
        "name": "Helen Head",
        "profileUrl": "https://www.facebook.com/people/Helen-Head/pfbid022DhB36PVT9anEH47J7WQu78JYMNhaEGeHHKAhyPXJVNjusrH3TCierbYBcaA7NTBl/",
        "profilePic": null
      },
      "date": "2025-12-23T18:12:27.000Z",
      "url": "https://www.facebook.com/permalink.php?story_fbid=pfbid036zKdeTsZRHzcZspm8CNjzv3jSuSQFmbjNc6h4FPwLvsBmjYU3ibcHqX4HSukzQakl&id=61584317204968",
      "isRecommended": true,
      "text": "I'm at the homeless shelter in Alexandria Virginia Prince William county building and there's a lot of us that are homeless that should have a Christmas maybe someone should help us all out show people love...",
      "likesCount": 1,
      "commentsCount": 0,
      "facebookId": "ZmVlZGJhY2s6MTIyMTA5OTMzMTg5MTQzOTA2",
      "postFacebookId": "122109933189143906",
      "pageName": "MrBeast"
    }
  ],
  "Tesla": []
}

Fields that may be “Unknown”: If the page name can’t be resolved from the feed, pageName may fall back to “Unknown” for aggregation; user.profilePic may be null if unavailable.

FAQ

Do I need to log in to scrape Facebook reviews?

No. The actor works with publicly available Facebook page reviews and doesn’t require login or cookies. It won’t access private or gated content.

How many pages can I process at once?

You can add multiple URLs or usernames to inputs. The actor processes several pages concurrently (internal concurrency is set to 3), making it a practical bulk Facebook reviews scraper.

Can I sort the reviews?

Yes. Set sortOrder to newest, oldest, or most_relevant. Sorting happens after pagination and deduplication so you can prioritize recent or high-engagement reviews.

What happens if Facebook blocks my requests?

The actor uses a 3-stage proxy fallback: it starts with no proxy, then tries a datacenter proxy, and finally switches to residential with retries if needed. Proxy transitions are logged so you can audit behavior.

What formats can I download?

All reviews are stored in the Apify dataset and can be exported as JSON, CSV, or Excel. The aggregated output is also saved to the Key-Value Store (key: OUTPUT) for direct API access.

Can I use this with Python or an API?

Yes. The actor is built in Python and runs on Apify, so you can integrate via the Apify API to pull dataset items or the aggregated OUTPUT for your Facebook reviews downloader or Facebook reviews scraper Python pipelines.

Does this work for Facebook business pages and Places?

It targets public Facebook page reviews using GraphQL pagination. As long as the reviews are public on the page’s /reviews surface, the extractor will attempt to fetch them.

Is there a limit on reviews per page?

Use maxItems to define how many reviews to collect per page (default 100, configurable up to 10,000). The actor paginates until it reaches your limit or Facebook indicates no more items.

Closing thoughts

Facebook Reviews Scraper is built to reliably collect public Facebook page ratings and reviews at scale. With automatic URL normalization, GraphQL pagination, deduping, flexible sorting, and proxy fallback, it’s a streamlined way to export Facebook reviews to CSV/JSON and power analytics. It’s ideal for marketers, researchers, analysts, and developers who need a Facebook reviews API-style output without the overhead. Connect it to your pipelines, automate runs, and start turning public feedback into insights today.