Facebook Reviews Scraper

Facebook Reviews Scraper

Facebook Reviews Scraper is a scalable Facebook review extractor that pulls public reviews, ratings context, timestamps, and reviewer details from Facebook Pages at scale. It solves the tedious, error-prone process of collecting page reviews manually by automating pagination, deduplication, and export. Built for marketers, developers, data analysts, and researchers, this Facebook review scraping tool helps you scrape Facebook page reviews, export Facebook customer reviews to CSV/JSON, and power reputation monitoring at scale.

What data / output can you get?

The scraper exports structured per-review records to the Apify Dataset and an aggregated per-page JSON to the Key-Value Store. Below are the real fields it produces:

Data type	Description	Example value
facebookUrl	Facebook page URL where the review sits	https://www.facebook.com/mrbeast
id	Unique review identifier (Base64-like string)	UzpfSTYxNTg0MzE3MjA0OTY4OjEyMjEwOTkzMzE4OTE0MzkwNjoxMjIxMDk5MzMxODkxNDM5MDY=
user.id	Reviewer’s Facebook ID	pfbid022DhB36PVT9anEH47J7WQu78JYMNhaEGeHHKAhyPXJVNjusrH3TCierbYBcaA7NTBl
user.name	Reviewer display name	Helen Head
user.profileUrl	Link to reviewer’s profile	https://www.facebook.com/people/Helen-Head/pfbid022DhB36PVT9…/
user.profilePic	Profile picture URL (may be null)	null
date	Review creation time (ISO 8601, UTC)	2025-12-23T18:12:27.000Z
url	Direct URL to the review post	https://www.facebook.com/permalink.php?story_fbid=pfbid036zK…
isRecommended	Whether the page was recommended by the reviewer	true
text	Full review text	I'm at the homeless shelter in Alexandria Virginia…
likesCount	Number of reactions (likes)	1
commentsCount	Number of comments on the review	0
facebookId	Facebook feedback ID	ZmVlZGJhY2s6MTIyMTA5OTMzMTg5MTQzOTA2
postFacebookId	Facebook post ID	122109933189143906
pageName	Display name of the Facebook Page	MrBeast

Notes:

• Exports are available directly from the Apify Dataset as JSON, CSV, or Excel. This enables you to export Facebook reviews to CSV in a couple of clicks.
• An aggregated JSON (grouped by page name) is stored under the Key-Value Store key OUTPUT, useful for bulk scrape Facebook reviews workflows.
• Some fields (e.g., user.profilePic, pageName) may be null if not present in the source.

Key features

• ⚡ Asynchronous, concurrent scraping at scale Runs multiple Facebook pages in parallel with a controlled concurrency limit for fast collection in bulk.

• 🧭 Automatic input normalization Paste full page URLs or usernames; the tool normalizes them into proper /reviews URLs to automate Facebook review scraping.

• 🔄 Reliable GraphQL pagination Uses Facebook’s cursor-based pagination to fetch all available reviews per page and avoid misses.

• 🧹 Built-in deduplication Ensures each review (by id) is captured once, even across multiple batches.

• 🗂️ Instant, structured exports Pushes each review into the Apify Dataset as it’s found and saves an aggregated per-page JSON to the Key-Value Store (key: OUTPUT). Perfect for a Facebook reviews API alternative via Apify’s dataset API.

• 🧪 Smart anti-blocking with proxy fallback Automatically escalates from no proxy → datacenter proxy → residential proxy with retries as needed.

• 🧭 Relevance & recency ordering Results can be ordered by newest, oldest, or most relevant (likes + comments) to support analysis and reporting.

• 🧩 Developer friendly Access data via the Apify API, automate pipelines, and integrate the Facebook reviews scraper software into analytics, BI, or CRM systems.

• 📈 Production-grade logging & retries Detailed logs, empty-batch detection, and retry handling ensure resilient, repeatable runs for ongoing monitoring.

How to use Facebook Reviews Scraper - step by step

1. Log in to Apify Console

   • Go to https://console.apify.com and sign in or create a free account.

2. Open the Facebook Reviews Scraper

   • Search for “Facebook Reviews Scraper” in the Actors section or from your list.

3. Add input data

   • In the Input tab, paste Facebook page URLs or usernames into the inputs array. Example: ["https://www.facebook.com/mrbeast", "tesla"].

4. Configure limits

   • Set maxItems to control how many reviews to collect per page (default 100).

5. Optional: Configure proxy

   • Use proxyConfiguration to enable Apify Proxy (e.g., DATACENTER or RESIDENTIAL) if your use case requires it.

6. Start the run

   • Click Start. The actor will normalize inputs, resolve necessary IDs, paginate reviews, and push data as it goes.

7. Monitor progress

   • Watch the Log tab for pagination status, proxy stage transitions, and per-batch extraction info.

8. Export results

   • Dataset tab: browse per-review records and export as JSON, CSV, or Excel.
   • Key-Value Store: open the key OUTPUT for page-grouped JSON you can download or fetch via API.

Pro tip: Use the Apify API to automate runs, download datasets programmatically, and connect this Facebook review crawler to reporting stacks or ETL tools.

Use cases

Use case name	Description
Local SEO + Reputation monitoring	Track public Facebook business reviews over time, quantify sentiment via likes/comments, and export Facebook customer reviews to CSV for dashboards.
Competitor analysis	Compare competitor page ratings context and feedback to identify strengths, gaps, and product opportunities at a glance.
Customer support triage	Detect high-engagement reviews to prioritize responses in your support pipeline.
Market research	Aggregate reviews across multiple brands to analyze themes, timing, and engagement patterns.
API/data pipeline enrichment	Feed structured per-review data from the dataset API into data warehouses and BI tools.
Academic & social research	Collect large-scale public review corpora for NLP, sentiment, and behavior studies.
Brand audits & PR	Monitor sudden spikes in feedback and extract examples for stakeholder reporting.

Why choose Facebook Reviews Scraper?

A production-ready, automation-first Facebook business reviews scraper built for accuracy, scale, and reliability.

• ✅ Accurate, structured output: Clean JSON with consistent fields (facebookUrl, id, user, date, text, engagement metrics, IDs).
• 🚀 Built for scale: Concurrent processing and pagination to bulk scrape Facebook reviews across many pages.
• 🔌 Developer access: Use Apify’s Dataset and Key-Value Store APIs as a Facebook reviews API alternative.
• 🔒 Safe-by-design: Targets public page reviews only; includes proxy fallback and retry logic to reduce blocks.
• 💾 Easy exports: Download JSON/CSV/Excel instantly or connect via API to your analytics stack.
• 🧠 Better than extensions: No fragile browser hacks—robust server-side scraping with detailed logs and error handling.

Bottom line: If you need to automate Facebook review scraping with dependable, repeatable runs, this is the best Facebook reviews scraper for the job.

Is it legal / ethical to use Facebook Reviews Scraper?

Yes—when done responsibly. This tool collects data from publicly available Facebook Pages and does not access private or authenticated content.

Guidelines to follow:

• Only collect public page reviews; do not target private or restricted data.
• Ensure compliance with Facebook’s Terms of Service and Apify’s Terms.
• Adhere to applicable regulations (e.g., GDPR, CCPA) and your organization’s data policies.
• Use collected data responsibly (no spam, harassment, or privacy violations).
• Consult your legal team for edge cases or jurisdiction-specific requirements.

Input parameters & output format

Example JSON input

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

Input fields (from the schema):

• 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.
  • Default: prefill ["https://www.facebook.com/mrbeast"]
• maxItems (integer, optional): Maximum number of reviews to scrape per page. The actor will stop pagination once this limit is reached.
  • Default: 100 (min 1, max 10000)
• proxyConfiguration (object, optional): Choose which proxies to use. By default, no proxy is used. If Facebook rejects or blocks the request, it will automatically fall back to datacenter proxy, then residential proxy with retries.
  • Default: {"useApifyProxy": false}

Dataset output (individual reviews)

{
  "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"
}

Key-Value Store output (aggregated by page name, 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": []
}

Tip: pageName can be null if not present in the source; the aggregated OUTPUT groups by the resolved page name when available.

FAQ

Is there a free or trial option?

Yes. Runs include trial minutes on Apify accounts, so you can test this Facebook reviews scraper software before subscribing.

Do I need to log in or provide cookies?

No. The actor targets publicly available Facebook Page reviews and does not require login or cookies.

How many reviews can I scrape per page?

You control this with maxItems (default 100). The scraper paginates until it reaches your limit or there are no further reviews.

Can I scrape multiple Facebook Pages at once?

Yes. Provide multiple entries in inputs (URLs or usernames), and the actor will process them concurrently.

What happens if Facebook blocks my requests?

The actor automatically escalates proxies: starts without a proxy (or your configured proxy), then falls back to a datacenter proxy, and finally to a residential proxy with retries if necessary.

Can I sort the results?

The actor orders results by newest by default and supports ordering by oldest or most relevant (likes + comments). This helps automate Facebook review scraping for engagement-focused analysis.

What formats can I download?

You can download or export Facebook reviews to CSV, JSON, or Excel from the Apify Dataset UI or via the Dataset API. Aggregated JSON is available under Key-Value Store key OUTPUT.

Can it scrape private pages or restricted content?

No. It only collects public data from Facebook Pages. Private or restricted pages are not supported.

Is the data real-time?

It reflects the state of the page at the time of execution. Schedule runs to keep your Facebook customer reviews export fresh.

How can developers integrate this into a pipeline?

Use the Apify API to access the Dataset and Key-Value Store for programmatic retrieval—ideal as a Facebook reviews API alternative in ETL/BI workflows.

Closing CTA / Final thoughts

Facebook Reviews Scraper is built to automate, scale, and streamline the extraction of public Facebook Page reviews. With fast pagination, smart proxy fallback, and clean, structured output, it’s ideal for marketers, developers, analysts, and researchers who need to bulk scrape Facebook reviews and export results to CSV/JSON for reputation tracking and analysis. Developers can leverage the Apify API for hands-free pipelines and scheduled refreshes. Start extracting smarter with a reliable, production-ready Facebook review extractor today.