Facebook Review Scraper

Facebook Review Scraper 📊

Facebook Review Scraper is a focused tool that scrapes reviews from Facebook pages—so you can collect real customer feedback without manual copy-pasting. Whether you're looking to scrape Facebook reviews, extract Facebook reviews, or build a Facebook review lead generator workflow, this actor helps you turn public review content into usable data. It’s designed for marketers, researchers, and data analysts who want to automate Facebook review scraping software tasks and save hours of manual work at scale.

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Why choose Facebook Review Scraper?

Feature	Benefit
✅ All-in-one review extraction	Extracts reviewer name, profile picture, review text, and links from a Facebook page reviews URL in one run
✅ Structured output ready for analysis	Saves results into a dataset with consistent JSON fields for easy import into spreadsheets or pipelines
✅ Reliability-focused execution	Includes pagination handling via cursors and stops cleanly when limits are reached or no further pages exist
✅ Flexible input controls	Lets you set a maximum number of reviews with maxReviews to control run size and cost
✅ Apify Console friendly workflow	Runs directly from the Apify input form and writes results to the “Facebook Reviews” dataset
✅ Proxy configuration support	Supports selecting “Proxy Configuration” in input to validly scrape Facebook

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Key features

• 🔍 Accurate review fields: Captures name, message, story_url, story_id, and profile_pic per review
• 📥 Direct Facebook page reviews URL input: Uses your provided startUrl (Facebook page reviews section URL) to start the scrape
• 🔄 Pagination with cursor handling: Continues fetching subsequent review pages until maxReviews is reached or no more pages are available
• 🛡️ Proxy configuration option: Works with the provided proxyConfiguration setting (includes proxy support)
• 💾 Real-time dataset pushing: Each review is pushed immediately to the output dataset as it’s found
• 🧮 Run-sized output control: Uses maxReviews (minimum 1) to limit how many Facebook reviews you collect
• 📊 Dataset-ready links: Includes story_url so you can trace each extracted Facebook page review back to its source

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Input

Provide input via an input.json file. Example structure:

{
  "startUrl": "https://www.facebook.com/buladiradda/reviews",
  "maxReviews": 100,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}

Input Fields

Field	Required	Description
startUrl	✅	The URL of the Facebook page reviews section (for example: https://www.facebook.com/buladiradda/reviews). This is where the actor starts scraping Facebook review scraping content.
maxReviews	❌	Maximum number of reviews to scrape. Default is 100. Minimum value is 1.
proxyConfiguration	❌	Proxy settings for scraping Facebook. The input provides an editor of type proxy. The default includes proxy support: true.
proxyConfiguration.proxy support	❌	When present inside proxyConfiguration, enables the “Use Apify Proxy” option.

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Output

The actor saves each review’s data into a dataset in JSON format.

Example output JSON (each object is one review):

[
  {
    "name": "Julia Odan",
    "profile_pic": "https://scontent-itm1-1.xx.fbcdn.net/v/t39.30808-1/447503218_1421351475235900_1276580829558666368_n.jpg?stp=c0.128.768.768a_cp0_dst-jpg_s50x50_tt6&_nc_cat=100&ccb=1-7&_nc_sid=e99d92&_nc_ohc=tb3gMBl1nZ4Q7kNvwHMkcRR&_nc_oc=AdnbtWHkJecxad6HPguRsNhJVh9ftY5PVIUMvVAI-1g3IZDWWdcj4WucYO2TxYyuF5Y&_nc_zt=24&_nc_ht=scontent-itm1-1.xx&_nc_gid=fXOTY82o1VPchmrLVtteLg&oh=00_AfgvvWN2o7VZh2TnnY5kZ0_lWB6y8cs8_KJIoCETdya-cw&oe=693251AB",
    "message": "Rubbish product from a misogynistic company.",
    "story_id": "UzpfSTEwMDAyMDgzMTgyMzg1MjoxMTg5NTQyMDg4NDE2ODQxOjExODk1NDIwODg0MTY4NDE=",
    "story_url": "https://web.facebook.com/jyn.odan.3/posts/pfbid0FbBNhkzZArg9AYASawZNhDuYAfPaErwHgFGZm7ZTaCn2dZs7Q9ys2UMkG7ejLJ6tl"
  }
]

Output Fields

Field	Type	Description
name	text	Reviewer name
message	text	Review content text
story_url	link	Link to the review/story on Facebook
story_id	text	ID for the review/story
profile_pic	image	URL to the reviewer’s profile picture

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How to use Facebook Review Scraper (via Apify Console)

1. Open Apify Console Log in at https://console.apify.com and navigate to the Actors area.

2. Find Facebook Review Scraper Search for Facebook Review Scraper and open the actor page.

3. Enter your startUrl In the INPUT section, provide the Facebook page reviews section URL in startUrl (e.g. a URL ending with /reviews).

4. Set maxReviews (optional but recommended) Use maxReviews to control how many Facebook reviews you want to collect. If you leave it empty, the actor uses the default value 100.

5. Configure proxy settings (optional) If needed, adjust Proxy Configuration. The default includes proxy support: true.

6. Run the actor Click Run. While it executes, check the real-time logs to monitor progress and whether it reaches your maxReviews target.

7. Open the dataset results After the run completes, go to the OUTPUT tab and open the dataset titled Facebook Reviews.

8. Export your data Export the dataset in the format you need (commonly JSON/CSV from Apify). You can then use it for scrape Facebook reviews analysis, reporting, or a Facebook page review scraper workflow.

No coding required—get structured Facebook reviews data in minutes with Facebook Review Scraper. ✅

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Advanced features & SEO optimization

• 🔄 Engineered for “Facebook review scraper” workflows: Built specifically for extracting review content from Facebook pages and turning it into dataset rows you can analyze (great for scrape Facebook reviews use cases).
• 📊 Automate Facebook review collection: Uses your maxReviews to keep output predictable and avoid oversized runs when you’re automating Facebook review scraping software tasks.
• 💾 Structured dataset output: Each scraped review includes consistent fields (name, message, story_url, story_id, profile_pic) so downstream analysis is straightforward.
• 🛡️ Proxy configuration option: Includes an input-level proxy configuration so you can validly scrape Facebook in your environment.
• 📈 Pagination-aware collection: Continues through additional pages until it hits your target review count or can no longer fetch additional pages.

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Best use cases

• 🎯 Marketing teams building review-based messaging: Collect consistent Facebook page review content to identify recurring themes and craft better ad/landing copy.
• 🧪 Researchers studying customer sentiment: Export message plus story_url and analyze feedback patterns across multiple review samples.
• 🏢 Local business reputation tracking: Run Facebook review scraping tool jobs regularly to measure changes over time.
• 📈 Ecommerce brand monitoring: Track how customers describe product experience, then connect findings to product iterations.
• 🧰 Data analysts preparing supervised datasets: Use structured fields (story_id, message, reviewer metadata) for labeling and model training.
• 💼 Sales and lead research: Use extracted review text and page context to inform outreach—an approach aligned with Facebook review lead generator workflows.
• 🔁 Automation pipelines via Apify: Schedule runs to continually update a dataset of Facebook reviews data for downstream BI dashboards.

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Technical specifications

• Supported Input Formats

  • ✅ startUrl as a string containing the Facebook page reviews section URL (e.g. ending in /reviews)
  • ✅ maxReviews as an integer (minimum 1, default 100)
  • ✅ proxyConfiguration as an object with proxy support supported by the input schema

• Proxy Support

  • ✅ Input supports “Proxy Configuration” and includes proxy support in the default object

• Retry Mechanism

  • ✅ Includes resilience via pagination handling and stopping conditions based on available pages and reaching maxReviews

• Dataset Structure

  • ✅ Dataset title: Facebook Reviews
  • ✅ Dataset output fields: name, message, story_url, story_id, profile_pic

• Rate Limits & Performance

  • ⚠️ Performance depends on how quickly the target page returns review batches and network conditions

• Limitations

  • ⚠️ Scraping starts from the specific reviews URL you provide in startUrl
  • ⚠️ Output is limited by maxReviews

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FAQ

Do I need to provide a startUrl to scrape Facebook reviews?

✅ Yes. startUrl is the only required input. It must be the Facebook page reviews section URL you want to extract reviews from.

What does the maxReviews setting do?

maxReviews limits how many reviews the actor will scrape in a single run. The minimum is 1, and the default is 100.

What fields will I get for each Facebook review?

Each item in the output dataset includes name, message, story_url, story_id, and profile_pic.

Can I control proxy usage?

Yes. You can pass proxyConfiguration in the input. The schema includes proxy support (defaulting to true in the provided example).

Where do the results get saved?

The actor pushes each review to the Apify dataset titled Facebook Reviews. You can find it under the OUTPUT tab after the run.

Do I need to write code to use Facebook Review Scraper?

No. You can run it directly from Apify Console by filling in the INPUT form with startUrl, optionally adjusting maxReviews and proxy settings.

How can I request support or suggest a feature?

Share feedback or feature requests by emailing dataforleads@gmail.com. If you’re trying to improve outcomes for scraping reviews from Facebook, tell us what fields or formats you need.

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Support & feature requests

If you’re using Facebook Review Scraper and want improvements, we’d love to hear from you. 👋

• 💡 Feature Requests: Examples include additional export formatting options or enhancements to make results easier to plug into your Facebook review scraper pipeline.
• 📧 Contact: Email dataforleads@gmail.com for support or questions about your runs.

Your feedback helps shape what we build next for Facebook review scraping tool users. ✅

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Facebook Review Scraper — get the most comprehensive Facebook reviews data fast

If you’re serious about extracting Facebook reviews at scale, Facebook Review Scraper is the SEO-optimized way to automate Facebook review collection.

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Disclaimer

This tool accesses publicly accessible sources only. It does not access private profiles, authenticated pages, or password-protected content. It is your responsibility to comply with applicable laws (including GDPR/CCPA where relevant), spam regulations, and each platform’s Terms of Service.

For data removal requests, contact dataforleads@gmail.com. Please use Facebook Review Scraper responsibly, ethically, and only for legitimate purposes.