Facebook Review Scraper

Facebook Review Scraper 🎯

Copying Facebook reviews manually is slow and inconsistent—one missed page or refresh can ruin your workflow. Facebook Review Scraper automates scraping reviews from Facebook pages and outputs clean, structured records you can use right away. This facebook review scraper is ideal when you need scrape facebook reviews at scale without building custom tooling. It’s built for marketers, data analysts, and researchers who want to extract facebook reviews data extraction outputs faster. In one run, you can collect up to your chosen review limit (for example, 100 reviews) with minimal effort.

---

See the Data: Sample Output

Here's a real record from a single run:

{
  "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 you can expect from the Facebook Review Scraper:

Field	Type	What It Tells You
name	string	The reviewer’s name as shown on the review
profile_pic	string	URL to the reviewer’s profile picture
message	string	The review text content you can analyze or display
story_id	string	The internal review identifier you can use for de-duplication
story_url	string	A link back to the specific review post
status	string	This actor pushes review records; if a run fails early, you’ll see errors in the Apify logs (no per-record status field is produced by the actor output)
error_message	string	Not included in the pushed output records; failures appear in actor logs and may stop pagination

Export your full dataset as JSON, CSV, or Excel from the Apify dashboard.

---

Setting It Up

Drop this into your input.json and you're ready to go:

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

Parameter	Required	What It Does
startUrl	✅	The URL of the Facebook page reviews section you want to scrape (for example, a /reviews page URL).
maxReviews	⬜	Sets the maximum number of reviews to scrape. Defaults to 100 and must be at least 1.
proxyConfiguration	⬜	Proxy settings for the run. Use this to enable the “proxy support” option in input.
↳ proxyConfiguration.proxy support	⬜	When set to true, Apify Proxy is enabled in the input (note: this actor’s code logs that additional proxy integration may be needed for raw requests).

---

What It Does

Facebook Review Scraper pulls reviews from the reviews section of a Facebook page and writes each review to your Apify dataset in a consistent structure.

Get reviews up to your chosen limit

You control how many reviews to collect using maxReviews. The actor keeps requesting additional pages until it reaches your target review count or the dataset runs out of available pages.

Scrapes review content and reviewer details

For each review, it extracts name, profile_pic, message, story_id, and story_url. This makes Facebook reviews data extraction easy to plug into analytics, reporting, or moderation workflows.

Produces clean, integration-ready JSON records

Each extracted review is pushed as a JSON object into the dataset. Because the output fields are consistent (name, message, story_url, etc.), you can filter, deduplicate, and visualize the results without heavy transformation.

Respects run-level reliability controls

The actor includes pagination handling and stops when it detects no further pages (has_next_page=False) or when the cursor stops changing. If requests fail, the run logs the error and exits pagination.

Built for practical automation of facebook review scraping tool workflows

Whether you’re scraping facebook page review scraper targets for research or building a repeatable dataset refresh, Facebook Review Scraper fits into automated runs. It’s a solid starting point for teams learning how to scrape facebook reviews programmatically.

Overall, the Facebook Review Scraper helps you extract facebook business review data into a usable dataset quickly—without manually copying content.

---

Why Facebook Review Scraper?

There are plenty of ways to pull data from Facebook—here’s why Facebook Review Scraper stands out for review extraction jobs.

Review-first output that’s ready for analysis

Instead of dumping messy page HTML, this automated facebook review scraper returns structured fields (message, story_url, story_id) you can analyze immediately.

Straightforward configuration for fast setup

You only need startUrl and (optionally) maxReviews plus proxy preferences. That makes it easier to run facebook local reviews scraper style projects without engineering time.

Works smoothly in dataset-driven workflows

The actor writes each review as it’s discovered, so you can inspect and export results from the Apify dashboard as the run proceeds—ideal for recurring facebook review crawler tasks.

---

Real-World Use Cases

Here's how different teams put Facebook Review Scraper to work:

Marketing Teams
A marketing analyst needs fresh customer sentiment for multiple locations. They set startUrl to each page’s reviews section, raise maxReviews to capture a meaningful sample, and use the message field to track recurring themes over time.

Sales Ops & Customer Research
A customer research coordinator wants to understand what people praise or complain about before pitching outreach. They run the actor against targeted business pages, then use story_url and story_id to organize feedback and link back to the original review.

Brand Managers & Reputation Monitoring
A brand manager schedules regular refreshes for public review content to spot changes in customer perception. The structured output from Facebook page review scraper runs makes it easier to compare batches across weeks and flag notable shifts.

Freelance Researchers
A freelancer delivers “extract facebook business reviews” reports to clients as part of a research package. They scrape reviews from multiple pages, export to CSV/Excel from the Apify dashboard, and provide a clean dataset that’s ready for client analysis.

Automation & Data Engineering
A developer integrates scraped facebook reviews data extraction into a pipeline that produces weekly reports. They trigger runs from the Apify API, store the dataset output, and downstream processes can deduplicate using story_id and generate summaries from message.

---

How to Run It

No code required. Here's how to get your first results in under 5 minutes:

1. Open the actor on Apify — visit console.apify.com and open the Facebook Review Scraper actor page.
2. Enter your inputs — set startUrl to your Facebook page reviews URL, and optionally adjust maxReviews.
3. Configure proxy settings (optional) — set proxyConfiguration.proxy support in input if you want Apify Proxy enabled in the run configuration.
4. Start the run — launch and monitor the live log for progress and any request issues.
5. Open the Dataset tab — see reviews appear as records with name, message, story_url, story_id, and profile_pic.
6. Export the results — download from the Apify dashboard as JSON, CSV, or Excel.

The whole setup takes under 5 minutes — results start appearing within seconds of launch.

---

Export & Integration Options

Once your data is collected, Facebook Review Scraper fits directly into your existing workflow.

You can export your dataset as JSON, CSV, or Excel directly from the Apify dashboard after the run completes (and you can also review results during the run in the Dataset tab).

If you need automation, you can connect results through the Apify API, or use no-code tools like Zapier/Make to pass exported data into your CRM or reporting stack.

---

Pricing

Facebook Review Scraper runs on Apify, which includes a free tier — no credit card needed to start. You’ll typically begin with a small test run (using maxReviews) and verify the dataset structure before scaling up.

If you run heavier workloads, Apify uses pay-as-you-go compute based on Actor compute units (CUs) and you can choose appropriate Apify plans for ongoing use. There’s no per-row markup for the data itself—your cost is tied to platform compute.

Start free at apify.com — scale up when you need to.

---

Reliability & Limitations

What We Handle	How
Pagination until your target is met	Continues requesting more pages until maxReviews is reached
End-of-data stopping	Stops when it detects no more pages (has_next_page=False)
Cursor change detection	Stops if no new cursor is found or cursor stops changing
Request failures	Logs request exceptions and stops pagination if requests fail
Partial progress visibility	Reviews are pushed during the run so you can export what’s collected

Limitations: This actor scrapes reviews from publicly accessible Facebook pages provided via startUrl. If the reviews feed is unavailable, restricted, or fails to load during the run, results may stop early. It does not provide login-gated access.

For enterprise-scale needs or custom configurations, reach out and we'll help.

---

Frequently Asked Questions

Is there a free plan?

Yes—Apify offers a free tier with test usage, which is enough for trying Facebook Review Scraper on a small maxReviews sample.

Do I need to log in or create an account on Facebook?

No. You only provide a startUrl to a public Facebook page reviews section, and the actor scrapes publicly available review content.

How accurate is the extracted data?

The actor returns the review fields it extracts into name, message, story_url, story_id, and profile_pic. Accuracy depends on what’s present on the target page at scrape time.

How many results can I get per run?

You can request up to maxReviews reviews per run. The default is 100, and the actor stops once it reaches your chosen limit.

How fresh is the data?

The data is as fresh as the moment the actor runs and retrieves the review feed. If reviews are added after your run, they won’t appear until the next run.

Is this legal? Does it comply with GDPR / CCPA?

The actor collects publicly available data from Facebook pages. It’s your responsibility to ensure your use complies with GDPR, CCPA, and any applicable Facebook terms and local regulations.

Can I export to Google Sheets or Excel?

You can export your dataset as JSON, CSV, or Excel from the Apify dashboard, which can then be imported into Google Sheets or other tools. For direct workflows, use your preferred integration approach.

Can I schedule this to run automatically?

Yes. On Apify, you can run actors automatically on schedules (for recurring review monitoring use cases), then export the latest dataset each time.

Can I access results via the API?

Yes. You can access run results programmatically using the Apify API, making Facebook Review Scraper suitable for automated pipelines.

What happens when the actor encounters an error?

If the actor hits a request error, it logs the error and stops pagination. Any reviews pushed before the failure remain available in your dataset.

---

Get Help & Use Responsibly

Got a question about Facebook Review Scraper or a feature you'd like added? Reach out at dataforleads@gmail.com. We welcome requests that improve output usability (for example, better field completeness for facebook reviews data extraction) and smoother batch workflows for extracting facebook business reviews.

Facebook Review Scraper collects publicly available data. It does not access private accounts, login-gated pages, or password-protected content. It’s your responsibility to ensure compliance with GDPR, CCPA, and the relevant platform ToS when storing and using the data. For data-removal requests, contact dataforleads@gmail.com. Use responsibly, ethically, and only for lawful purposes.