# Facebook Page Reviews Scraper ยท No Cookies (`data-slayer/facebook-page-reviews`) Actor Extract customer reviews from any Facebook page without login. Get review text, recommendation status, reviewer profiles, reaction counts, photos, and tags. No cookies, no authentication. Perfect for sentiment analysis and reputation monitoring. JSON/CSV/Excel export. - **URL**: https://apify.com/data-slayer/facebook-page-reviews.md - **Developed by:** [Data Slayer](https://apify.com/data-slayer) (community) - **Categories:** Social media, Automation, Lead generation - **Stats:** 36 total users, 11 monthly users, 93.2% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $5.00 / 1,000 results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event ## What's an Apify Actor? An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md. ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run. For examples already wired to this Actor's own input schema, see the [API](#api) section below. Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`). # README ## Facebook Reviews Scraper (Cookieless) Extract Facebook page reviews at scale without logging in or managing cookies. This scraper uses a cookieless architecture to collect customer feedback, ratings, and reviewer profiles from any public Facebook page, making it perfect for sentiment analysis and competitive intelligence. ### Key Features ๐Ÿ”’ **Cookieless / No Login Required** - Access public Facebook reviews without authentication, eliminating the risk of account bans or cookie management headaches. ๐Ÿ“ˆ **Scalable Architecture** - Scrape reviews from multiple Facebook pages simultaneously, processing thousands of customer reviews in a single run. โœ… **Rich Profile Data** - Capture complete review details including reviewer name, profile picture, recommendation status, review message, reaction counts, photos, and tags. โšก **Fast & Reliable** - Optimized scraping engine delivers consistent results with minimal downtime, even for pages with thousands of reviews. ๐Ÿ“Š **Export-Ready Formats** - Download your data instantly in JSON, CSV, or Excel format for immediate analysis in your favorite tools. ### Use Cases **E-commerce Managers**: Monitor customer sentiment across your Facebook presence and competitor pages to identify product issues, track brand reputation, and respond to customer concerns proactively. **Market Research Analysts**: Aggregate reviews from multiple brands and categories to benchmark performance, identify market trends, and generate competitive intelligence reports for stakeholders. **Customer Success Teams**: Extract and analyze review patterns to understand pain points, discover feature requests, and prioritize product improvements based on real customer feedback. ### Inputs | Field | Type | Description | |-------|------|-------------| | pageId | String | The Facebook Page ID of the target page (e.g., 32467656765678). You can find this in the page's URL or "About" section. | ### Outputs **Formats**: JSON, CSV, Excel **Fields**: - `type` - Content type (review) - `post_id` - Unique identifier for the review - `recommend` - Boolean indicating if the reviewer recommends the page - `message` - Full text of the review - `author.id` - Reviewer's Facebook profile ID - `author.name` - Reviewer's display name - `author.url` - Link to reviewer's profile - `author.profile_picture` - Profile image details (URI, dimensions) - `reactions_count` - Number of reactions the review received - `share` - Number of times the review was shared - `photos` - Array of attached images - `tags` - Tagged users or pages ### How to Use **Step 1**: Enter the Facebook Page ID of the page you want to scrape reviews from in the `pageId` field. **Step 2**: Click "Start" to begin the scraping process. **Step 3**: Once complete, download your results in JSON, CSV, or Excel format from the dataset tab. ### Sample Output ```json { "type": "review", "post_id": "987654321098765", "recommend": true, "message": "Excellent customer service! The team was very responsive and helped me resolve my issue quickly. Highly recommend this business to anyone looking for quality products.", "author": { "id": "pfbid0AbCdEfGhIjKlMnOpQrStUvWxYz123456789", "name": "Sarah Johnson", "url": "https://www.facebook.com/people/Sarah-Johnson/pfbid0AbCdEfGhIjKlMnOpQrStUvWxYz123456789/", "profile_picture": { "uri": "https://scontent.fgyd4-2.fna.fbcdn.net/v/t39.30808-1/profile_pic.jpg", "width": 80, "height": 80, "scale": 2 }, "is_additional_profile_plus": false, "delegated_page": null, "work_info": null }, "reactions_count": 24, "share": 2, "photos": [], "tags": [] } ``` *** This powerful page reviews scraper enables seamless reviews data extraction from Facebook, allowing you to export reviews to CSV or other formats for comprehensive analysis. Whether you need a web scraper for reviews, a product reviews API alternative, or a dedicated online review scraping solution, this reviews scraping tool serves as the ultimate ecommerce reviews extractor for data-driven decision making. ### FAQ **How much does it cost to run this Actor?** Pricing is listed in the Pricing section above, charged per row returned. You only pay for the rows the Actor actually produces, so a small test run costs cents. **Do I need cookies or a login?** No. This Actor reads public data only - no cookies, no account, no browser automation. **Can I schedule it?** Yes. Run it from the Apify API, on a schedule, or via a webhook, and export results as JSON, CSV or Excel. **What if I need a slightly different output?** Open an issue on the Actor's Issues tab describing the shape you need. ### Related actors More Facebook actors from the same portfolio. Apify only auto-recommends actors in the same category, so here are the rest of ours: | Actor | |---| | [Facebook Ads Library Scraper](https://apify.com/data-slayer/facebook-ads-library-scraper) | | [Facebook Comments & Replies Scraper](https://apify.com/data-slayer/facebook-comments-scraper) | | [Facebook Events Scraper ยท No Cookies](https://apify.com/data-slayer/facebook-search-events) | | [Facebook Group Posts Scraper ยท No Cookies](https://apify.com/data-slayer/facebook-group-posts) | | [Facebook Keyword Post Search ยท Public Posts](https://apify.com/data-slayer/facebook-post-search) | | [Facebook Marketplace Listing Scraper ยท No Cookies](https://apify.com/data-slayer/facebook-marketplace-details) | | [Facebook Page Details Scraper ยท No Cookies](https://apify.com/data-slayer/facebook-page-details) | | [Facebook Page Posts Scraper ยท No Cookies](https://apify.com/data-slayer/facebook-page-posts) | | [Facebook Page Search Scraper ยท No Cookies](https://apify.com/data-slayer/facebook-search-pages) | | [Facebook People Search Scraper ยท No Cookies](https://apify.com/data-slayer/facebook-search-people) | | [Facebook Public Profile Scraper ยท People Lookup by URL or ID](https://apify.com/data-slayer/facebook-profile-scraper) | # Actor input Schema ## `pageUrls` (type: `array`): One public Facebook Page or /reviews URL per line. Slug URLs are resolved to Page IDs before review collection. ## `maxItems` (type: `integer`): Hard cap on unique review rows written across all supplied pages. ## `maxPages` (type: `integer`): Backward-compatible pagination limit. The existing default remains one result page. ## `since` (type: `string`): Optional ISO 8601 date or timestamp. Records with a parseable earlier source date are excluded; undated records remain included. ## `pageId` (type: `string`): Backward-compatible input and demonstration default. Existing API clients can keep sending pageId. When a URL or batch field is supplied, the untouched demonstration default is ignored. ## `pageUrl` (type: `string`): Optional single-page URL alias. ## `pageIds` (type: `array`): Optional list of numeric Facebook Page IDs. ## Actor input object example ```json { "pageUrls": [ "https://www.facebook.com/nasa/reviews" ], "maxItems": 1000, "maxPages": 1, "since": "2026-01-01", "pageId": "100063543614476" } ``` # Actor output Schema ## `reviews` (type: `string`): No description ## `runSummary` (type: `string`): No description # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "pageUrls": [ "https://www.facebook.com/nasa/reviews" ] }; // Run the Actor and wait for it to finish const run = await client.actor("data-slayer/facebook-page-reviews").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`๐Ÿ’พ Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "pageUrls": ["https://www.facebook.com/nasa/reviews"] } # Run the Actor and wait for it to finish run = client.actor("data-slayer/facebook-page-reviews").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print(f"๐Ÿ’พ Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}") for item in client.dataset(run.default_dataset_id).iterate_items(): print(item) # ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "pageUrls": [ "https://www.facebook.com/nasa/reviews" ] }' | apify call data-slayer/facebook-page-reviews --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "type": "http", "url": "https://mcp.apify.com/?tools=fetch-actor-details,data-slayer/facebook-page-reviews" } } } ``` The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer ` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations). ## OpenAPI specification Download the OpenAPI definition: https://api.apify.com/v2/actors/1Aq39GC5oiaQz0uDg/builds/rHiPsk6OO9x8tRUvb/openapi.json