Facebook Reviews Scraper

Facebook Reviews Scraper

Facebook Reviews Scraper is a fast, reliable Facebook page reviews scraper that automates the extraction of public ratings/recommendations, review text, timestamps, engagement, and reviewer details from Facebook Pages. It eliminates manual copy‑paste by turning public reviews into structured data for Export Facebook reviews to CSV, JSON, or Excel. Built for marketers, developers, data analysts, and researchers, this Facebook reviews extractor scales to collect Facebook page reviews across multiple pages and powers downstream workflows like sentiment analysis, reporting, and social proof — a robust Facebook reviews API alternative for automation.

What data / output can you get?

Below are the exact fields the actor pushes to the Apify Dataset for each review. You can export Facebook reviews data to CSV, JSON, or Excel directly from the Dataset.

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 encoded)	UzpfSTYxNTg0MzE3MjA0OTY4OjEyMjEwOTkzMzE4OTE0MzkwNjoxMjIxMDk5MzMxODkxNDM5MDY=
user.id	Reviewer’s Facebook ID	pfbid022DhB36PVT9anEH47J7WQu78JYMNhaEGeHHKAhyPXJVNjusrH3TCierbYBcaA7NTBl
user.name	Reviewer’s display name	Helen Head
user.profileUrl	Reviewer’s profile URL	https://www.facebook.com/people/Helen-Head/pfbid022DhB36...
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 page was recommended by the reviewer	true
text	Full review text	"I'm at the homeless shelter in Alexandria..."
likesCount	Number of likes on the review	1
commentsCount	Number of comments on the review	0
pageName	Name of the Facebook Page being reviewed	MrBeast

Bonus: The actor writes an aggregated JSON to the Key‑Value Store under key OUTPUT, grouped by pageName. This is ideal for bulk extract Facebook reviews workflows and Facebook reviews data export.

Key features

• 🚀 Asynchronous parallel scraping
  Processes multiple Pages concurrently (up to 3 in parallel) with aiohttp — perfect for bulk extract Facebook reviews across brands and locations.

• 🔄 Smart cursor‑based pagination
  Uses Facebook’s GraphQL cursor to fetch all available reviews, making it a dependable Facebook reviews crawler that minimizes misses.

• 🧹 Automatic deduplication
  De‑duplicates by unique review id to keep your Facebook ratings and reviews scraper output clean and analytics‑ready.

• 🔧 Staged anti‑blocking with proxies
  Automatic fallback from no proxy/input config → DATACENTER → RESIDENTIAL (with retries). Transitions are logged for transparent, automated Facebook reviews scraping.

• 🧭 URL normalization
  Accepts full URLs, usernames, or keywords and normalizes to /reviews endpoints — hassle‑free setup to collect Facebook page reviews.

• 🗂️ Real‑time dataset streaming + aggregation
  Each review is pushed instantly to the Dataset; aggregated results are also saved to Key‑Value Store (key: OUTPUT) for easy post‑processing and Facebook reviews data export.

• 📊 Flexible sorting
  Supports sortOrder: newest, oldest, or most_relevant (likes + comments) to prioritize high‑impact items when you download Facebook business reviews.

• 🧪 Production‑ready reliability
  Built‑in retries for empty batches, polite delays, and detailed logging — a robust Facebook reviews scraper tool alternative to unstable Facebook reviews scraper Chrome extension options.

• 🧑‍💻 Developer‑friendly on Apify
  Works seamlessly with Apify Datasets & Key‑Value Stores for pipelines (e.g., Export Facebook reviews to CSV for BI tools or Google Sheets). Great for a Facebook places reviews scraper workflow.

• 🔒 Public data only — no login required
  Targets publicly available Page reviews for compliant, reliable automation.

How to use Facebook Reviews Scraper - step by step

1. Create or log in to your Apify account

   • Go to https://console.apify.com and sign in.

2. Open the actor

   • Search for “Facebook Reviews Scraper” in the Apify Store or your Actors list.

3. Add input data

   • In the Input tab, paste Facebook Page URLs, usernames, or keywords into inputs (array of strings). The actor automatically normalizes to /reviews URLs.

4. Configure limits and proxy (optional)

   • Set maxItems to control how many reviews per page to collect.
   • Optionally set proxyConfiguration. By default, {"useApifyProxy": false}. If needed, choose Apify proxy groups.

5. (Optional) Sorting

   • Include sortOrder with one of: newest, oldest, or most_relevant.

6. Start the run

   • Click Start. The actor resolves dynamic IDs, paginates reviews, deduplicates, and streams items to the Dataset.

7. Monitor progress

   • Watch logs for proxy stages, batch/status messages, and pagination details.

8. Download / integrate results

   • Open the run’s Dataset to view individual review records.
   • Find aggregated JSON by opening the Key‑Value Store (key: OUTPUT).
   • Export to JSON, CSV, or Excel — ideal to Export Facebook reviews to CSV or plug into dashboards.

Pro tip: Use the Apify Dataset API to automate Facebook reviews data export into Google Sheets, data warehouses, or CI pipelines on a schedule.

Use cases

Use case	Description
Competitor analysis for CX teams	Track competitor Pages to quantify sentiment and surface high‑engagement recommendations for benchmarks.
Brand reputation management	Aggregate public Facebook recommendations to power response workflows and social proof.
Market research & trends	Analyze themes over time by exporting timestamps, reactions, and comments at scale.
Customer service triage	Prioritize most_relevant reviews (likes + comments) for faster response and escalation.
Data pipelines & dashboards	Automate Facebook reviews data extraction to CSV/JSON and connect to BI tools or Google Sheets.
Academic & social research	Collect public opinion snapshots across business Pages for quantitative studies.
Content & testimonials	Download Facebook business reviews to power landing pages and marketing collateral.

Why choose Facebook Reviews Scraper?

Built for precision, scale, and reliability, this Facebook business page reviews scraper delivers structured data without the headaches of manual work.

• ✅ Accurate, structured output: Clean fields for reviewer, recommendation status, engagement, and timestamps.
• ⚡ Scalable parallelism: Processes multiple Pages concurrently for faster Facebook reviews data extraction.
• 🔧 Anti‑blocking built‑in: Staged proxy fallback (none/input → DATACENTER → RESIDENTIAL with retries) plus detailed logs.
• 🧑‍💻 Developer‑first: Apify Dataset and Key‑Value Store outputs for easy API integrations — a solid Facebook reviews API alternative for pipelines.
• 💾 Export‑ready: Export Facebook reviews to CSV/JSON/Excel for BI tools and analytics.
• 🛡️ Ethical by design: Targets publicly available Page reviews only; no login required.
• 🛠️ More reliable than extensions: Server‑side, production‑grade scraper beats brittle Facebook reviews scraper Chrome extension plugins.

In short, a dependable Facebook reviews crawler built for automation at scale.

Is it legal / ethical to use Facebook Reviews Scraper?

Yes — when used responsibly. This actor scrapes publicly available reviews from Facebook Pages and does not access private or authenticated content.

Guidelines for compliant use:

• Only collect public Page reviews.
• Respect Facebook’s and Apify’s Terms of Service.
• Ensure compliance with applicable data protection laws (e.g., GDPR, CCPA).
• Do not use data for spam, harassment, or privacy violations.
• Consult your legal team for edge cases and jurisdiction‑specific rules.

Input parameters & output format

Example JSON input

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

Input fields (from schema)

• inputs (array of string, required): List of Facebook page URLs (e.g., https://www.facebook.com/mrbeast) or usernames (e.g., mrbeast). Keywords require resolvable page context. Default: none.
• maxItems (integer, optional): Maximum number of reviews to scrape per page. The actor will stop pagination once this limit is reached. Minimum 1, maximum 10000. Default: 100.
• proxyConfiguration (object, optional): Choose which proxies to use. By default, no proxy is used. If Facebook rejects or blocks the request, it will automatically fallback to datacenter proxy, then residential proxy with retries. Default: {"useApifyProxy": false}.

Additional optional field supported by the actor (from source code)

• sortOrder (string, optional): Sorting mode for output ordering. One of newest, oldest, or most_relevant. Default (if omitted): newest.

Example dataset record (individual 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": []
}

Notes:

• Some fields may be null or “Unknown” when not present in the source (e.g., user.profilePic; pageName fallback logic).
• Individual reviews are pushed to the Dataset during the run; aggregated results are saved at the end under OUTPUT — ideal for Facebook reviews data export workflows.

FAQ

How many reviews can I scrape per page?

You control this via maxItems. The default is 100 and you can set up to 10,000 per page based on the input schema. The actor paginates until it reaches your limit or the feed ends.

Can I scrape reviews from multiple Facebook Pages at once?

Yes. Add multiple URLs, usernames, or keywords to inputs. The scraper processes up to 3 Pages in parallel, making it ideal for batch Facebook reviews data extraction.

Do I need to use a proxy?

No. By default, proxyConfiguration is {"useApifyProxy": false}. If Facebook blocks or rejects requests, the actor can automatically fallback to DATACENTER and then RESIDENTIAL proxies (with retries). You can also explicitly enable Apify proxies.

Can I sort the reviews?

Yes. Include sortOrder with one of newest, oldest, or most_relevant. Sorting is applied after collection for clean prioritization in the dataset.

What formats can I export?

You can export from the Apify Dataset or Key‑Value Store in JSON, CSV, or Excel. This makes it easy to download Facebook reviews CSV or connect to dashboarding tools.

Does it work on private or restricted Pages?

No. The actor only scrapes publicly available Page reviews. Private or access‑restricted content is not supported.

What happens if Facebook blocks my requests?

The scraper uses a staged proxy fallback: first no proxy or your input settings, then DATACENTER, then RESIDENTIAL with up to 3 retries. Transitions are logged for transparency, improving success for automated Facebook reviews scraping.

Can I send the data to Google Sheets or an API?

Yes. Use the Apify Dataset API or integrations to pipe results to Google Sheets, BI tools, or warehouses. The outputs are structured for easy automation in pipelines.

Closing CTA / Final thoughts

Facebook Reviews Scraper is built to reliably scrape Facebook recommendations and reviews and deliver structured, analysis‑ready data. With async parallelism, smart cursor‑based pagination, anti‑blocking proxies, and instant dataset streaming, it’s a robust Facebook reviews scraper tool for marketers, analysts, researchers, and developers.

Set maxItems, choose your proxy settings, and run bulk extractions in minutes. Developers can integrate via Apify’s Dataset and Key‑Value Store APIs to automate end‑to‑end workflows — a powerful Facebook reviews API alternative for scheduled Facebook reviews data export. Start extracting smarter, scalable social proof and CX insights today.

Need something custom? Contact us: dev.scraperengine@gmail.com.