Pricing

$5.99/month + usage

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Facebook Reels Scraper

Try for free

🎬✨ Facebook Reels Extractor – Seamlessly capture, organize & transform Reels into clean, ready-to-use data 📄💼. Works locally or in the cloud ☁️💻, supports secure browsing 🔑, proxies 🌐 & custom limits 🎯. Streamlined output for analytics & automation ⚡📊.

Pricing

$5.99/month + usage

Rating

5.0

(1)

Developer

Neuro Scraper

Actor stats

Bookmarked

Total users

Monthly active users

7 months ago

Last modified

Categories

Automation

Social media

Other

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

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = {
9    "startUrls": [
10        { "url": "https://web.facebook.com/reel/269347635883041" },
11        { "url": "https://web.facebook.com/reel/797489472734747" },
12        { "url": "https://web.facebook.com/reel/943258390744621" },
13    ],
14    "cookiesFile": "",
15    "proxyConfiguration": { "useApifyProxy": True },
16}
17
18# Run the Actor and wait for it to finish
19run = client.actor("neuro-scraper/facebook-reels-scraper").call(run_input=run_input)
20
21# Fetch and print Actor results from the run's dataset (if there are any)
22print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
23for item in client.dataset(run["defaultDatasetId"]).iterate_items():
24    print(item)
25
26# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Facebook Reels Scraper API in Python

The Apify API client for Python is the official library that allows you to use Facebook Reels Scraper API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

Other API clients include:

Facebook Reels Scraper API in JavaScript

Facebook Reels Scraper API through CLI

Facebook Reels Scraper OpenAPI definition

Facebook Reels Scraper API

Facebook Reels Scraper

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API Empire

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scrapers-hub/facebook-reels-scraper

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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

Facebook Reels Scraper

simpleapi/facebook-reels-scraper

Facebook Reels Scraper extracts Reels from public Facebook profiles and pages, capturing captions, audio, media URLs, views, likes, comments, shares, and timestamps. Ideal for trend tracking, content research, competitor analysis, and automating structured Facebook Reels data collection at scale.

SimpleAPI

Facebook Reels Scraper

scraper-engine/facebook-reels-scraper

Facebook Reels Scraper extracts detailed data from Facebook Reels, including video links, captions, likes, comments, and creator profiles. It automates the process for marketers, analysts, or researchers, delivering structured JSON or CSV outputs ready for insights or automation workflows.

Scraper Engine

378

5.0

Facebook Reels Details Scraper Pro ( Single & Solo Reels )

alpha-scraper/facebook-reels-details-scraper-pro-single-solo-reels

Facebook Reels Details Scraper Pro extracts detailed metadata from public Facebook Reels and video URLs. Get views, likes, comments, shares, hashtags, thumbnails, HD video links, owner details, music info, engagement insights, and structured JSON output for analytics, automation, and research.