Pricing

$19.99/month + usage

Facebook Reels Scraper

✨ Scrape Facebook Reels data from public posts with this powerful Apify Actor. Extract captions, views, likes, comments, and video details quickly. Ideal for content analysis, trend tracking, and research. Features: ⚡ fast scraping • 📊 clean data • 🔍 insights • 🌍 scalable automation

Pricing

$19.99/month + usage

Rating

0.0

(0)

Developer

ScraperForge

Actor stats

Bookmarked

Total users

Monthly active users

2 days ago

Last modified

Categories

Social media

Videos

Automation

You can access the Facebook Reels Scraper programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

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          },
          "onlyPostsNewerThan": {
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Facebook Reels Scraper OpenAPI definition

OpenAPI is a standard for designing and describing RESTful APIs, allowing developers to define API structure, endpoints, and data formats in a machine-readable way. It simplifies API development, integration, and documentation.

OpenAPI is effective when used with AI agents and GPTs by standardizing how these systems interact with various APIs, for reliable integrations and efficient communication.

By defining machine-readable API specifications, OpenAPI allows AI models like GPTs to understand and use varied data sources, improving accuracy. This accelerates development, reduces errors, and provides context-aware responses, making OpenAPI a core component for AI applications.

You can download the OpenAPI definitions for Facebook Reels Scraper from the options below:

OpenAPI.json

If you’d like to learn more about how OpenAPI powers GPTs, read our blog post.

You can also check out our other API clients:

Facebook Reels Scraper API in Python

Facebook Reels Scraper API in JavaScript

Facebook Reels Scraper API through CLI

Facebook Reels Scraper API

Instagram Reels Scraper

scraperforge/instagram-reels-scraper

✨ Instagram Reels Scraper to extract data from public Reels quickly and at scale. Collect captions, views, likes, comments, and video details with ease. Ideal for analysis, trend tracking, and research. Features: ⚡ fast scraping • 📊 clean output • 🔍 rich insights • 🌍 scalable automation

ScraperForge

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scrapier/facebook-reels-scraper

Scrape Facebook Reels with the Facebook Reels Scraper. Extract video URLs, captions, likes, comments, shares, and uploader info. Perfect for trend tracking, content analysis, and social media research. Fast, accurate, and scalable for single or bulk Reels scraping.

Scrapier

5.0

Instagram Single Reels Scraper

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ScraperForge

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api-empire/facebook-reels-scraper

Facebook Reels Scraper extracts public Facebook Reels with full details. Capture video URLs, captions, creators, views, likes, comments, audio, and metadata. Ideal for research, trend analysis, content planning, and workflows needing structured Facebook Reels data.

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scrapeflow/facebook-reels-scraper

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ScrapeFlow

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simpleapi/facebook-reels-scraper

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SimpleAPI

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scrapepilotapi/facebook-reels-scraper

Facebook Reels Scraper 🎥📱 extracts reel videos, captions, likes, comments, and engagement metrics from public Facebook profiles and pages. Ideal for content research, trend analysis, and social media monitoring. Fast, scalable, and automation-ready for bulk data collection. 🚀📊

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scrapelabsapi/facebook-reels-scraper

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ScrapeLabs

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scrapers-hub/facebook-reels-scraper

Powerful Facebook Reels Scraper to extract captions, thumbnails, video IDs, likes, comments, shares, and timestamps from public reels. Bulk scrape multiple URLs and get clean JSON output for analytics, competitor research, influencer tracking, and social media automation.

Scrapers Hub

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scrapapi/facebook-reels-scraper

Extract data from Facebook Reels using the Facebook Reels Scraper. Collect reel URLs, captions, likes, comments, views, and creator profile links automatically. Ideal for social media research, influencer discovery, and content performance analysis.