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Facebook - Reels by profile URL Scraper

Bright Data Scraper API Dataset Python License: MIT

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Facebook - Reels by profile URL data, powered by Bright Data.

This repository provides two approaches to accessing Facebook - Reels by profile URL data at scale:

Table of Contents

Why Use Bright Data for Facebook - Reels by profile URL Scraping?

Facebook - Reels by profile URL scraping comes with several challenges:

  • Rate Limiting: Facebook - Reels by profile URL monitors request frequency and may block IPs that exceed limits.
  • CAPTCHA Detection: Automated access may trigger CAPTCHA challenges.
  • Authentication Barriers: Some data requires login and the platform detects automated attempts.
  • Dynamic Content Loading: JavaScript-rendered content is difficult to scrape with simple HTTP requests.
  • IP Blocking: Repeated requests from the same IP may result in blocks.

Bright Data's Facebook - Reels by profile URL Scraper API solves these problems with:

  • Built-in rotating proxies: Bypass IP-based rate limits automatically
  • CAPTCHA solving: Handles bot detection without any extra setup
  • Structured data output: Receive clean JSON ready for analysis
  • No infrastructure needed: Cloud-managed scraping at any scale
  • 99.9% uptime SLA: Reliable data collection for business-critical workflows

Method 1: Bright Data Facebook - Reels by profile URL Scraper API

The Bright Data Facebook - Reels by profile URL Scraper API is a fully managed solution requiring zero infrastructure setup.

Getting Started with the Facebook - Reels by profile URL Scraper API

  1. Sign up for a free Bright Data account
  2. Navigate to the Facebook - Reels by profile URL Scraper API
  3. Get your API token from the dashboard
  4. Install the requests library: pip install requests
  5. Run any of the scripts in facebook-reels-by-profile-url_scraper_api_codes/

1. Facebook - Reels by profile URL Data

Collect data from Facebook - Reels by profile URL.

Input Parameters

Field Type Required Description
url string Yes The URL of the Facebook - Reels by profile URL item to scrape
limit integer No Maximum number of results to return
include_errors boolean No Include error details in the response
notify url No Webhook URL to notify when collection is complete
format enum No Output format: JSON, NDJSON, JSON Lines, CSV

Sample Response

{
  "audio": "AVAILABLE",
  "avatar_image_url": "https://scontent.fasr3-1.fna.fbcdn.net/v/t39.30808-1/659040483_1519008826263209_5912255980804862419_n.jpg?stp=dst-jpg_s200x200_tt6\u0026_nc_cat=100\u0026ccb=1-7\u0026_nc_sid=2d3e12\u0026_nc_ohc=3y0f-g2maXAQ7kNvwF0HD8u\u0026_nc_oc=AdpV_FGmZRsH0qqevbTBD6QfFwZTqEHmsk4-t-y01flkw3pQd0CREoucTtHBy2mP0ik\u0026_nc_zt=24\u0026_nc_ht=scontent.fasr3-1.fna\u0026_nc_gid=kQzcRzQqYLwqTHNCxwebMg\u0026_nc_ss=79289\u0026oh=00_Af0OUXvzrTdoxkI_sSlotj3eAljMPkS_yD-zkylgYUKgFQ\u0026oe=69F4543C",
  "content": "Allison Fong\u0027s moment of wonder? Making the journey to the North Pole\u2014and getting to see firsthand just what lives in the sea ice.\n\n#StepIntoWonder with National Geographic\u2019s #EarthMonth collection throughout April and stream #PoleToPole with Will Smith on Disney+ and Hulu.",
  "date_posted": "2026-04-26T19:00:20.000Z",
  "hashtags": [
    "#stepintowonder",
    "#earthmonth",
    "#poletopole"
  ],
  "header_image": "https://scontent.fasr3-1.fna.fbcdn.net/v/t39.30808-6/659088245_1519009352929823_6785160723400986476_n.jpg?stp=dst-jpg_s960x960_tt6\u0026_nc_cat=104\u0026ccb=1-7\u0026_nc_sid=2a1932\u0026_nc_ohc=avYYXrNCmfYQ7kNvwEKwHd3\u0026_nc_oc=AdrYis4n5r0C3co1nU1z8Jb2lWOXxb-TRIXieendPCJFKGggeLvY24J3gGV59VrAIWc\u0026_nc_zt=23\u0026_nc_ht=scontent.fasr3-1.fna\u0026_nc_gid=kQzcRzQqYLwqTHNCxwebMg\u0026_nc_ss=79289\u0026oh=00_Af0aNyXHtOCdOjpb1PvWWpavnoFlkOOCNYukJnJPnuGS1g\u0026oe=69F440E2",
  "length": 68.735,
  "likes": 32,
  "num_comments": 2,
  "num_shares": 2,
  "page_followers": 51000000,
  "page_likes": 0,
  "page_logo": "https://scontent.fasr3-1.fna.fbcdn.net/v/t39.30808-1/659040483_1519008826263209_5912255980804862419_n.jpg?stp=cp0_dst-jpg_s40x40_tt6\u0026_nc_cat=100\u0026ccb=1-7\u0026_nc_sid=2d3e12\u0026_nc_ohc=3y0f-g2maXAQ7kNvwF0HD8u\u0026_nc_oc=AdpV_FGmZRsH0qqevbTBD6QfFwZTqEHmsk4-t-y01flkw3pQd0CREoucTtHBy2mP0ik\u0026_nc_zt=24\u0026_nc_ht=scontent.fasr3-1.fna\u0026_nc_gid=kQzcRzQqYLwqTHNCxwebMg\u0026_nc_ss=79289\u0026oh=00_Af2aH2fleoMHoEnfeNyr5Ys9dzIqNqo3L1pd_wgKJFXa1g\u0026oe=69F4543C",
  "page_name": "National Geographic",
  "page_url": "https://www.facebook.com/natgeo",
  "post_id": "1539355887561836",
  "profile_handle": "natgeo",
  "profile_id": "100044623170418",
  "shortcode": "1289198792606656",
  "thumbnail": "https://scontent.fasr3-1.fna.fbcdn.net/v/t15.5256-10/684403984_1289198972606638_4588715469148501903_n.jpg?_nc_cat=102\u0026ccb=1-7\u0026_nc_sid=be8305\u0026_nc_ohc=aMBn_vZKaZEQ7kNvwEPJSU4\u0026_nc_oc=AdrD5ER5utpFtyvIAm4O5vdCRS9JoeW_QrBtnDZTpK1ceqkZD3-ETlXNg5dObz2uROM\u0026_nc_zt=23\u0026_nc_ht=scontent.fasr3-1.fna\u0026_nc_gid=kQzcRzQqYLwqTHNCxwebMg\u0026_nc_ss=79289\u0026oh=00_Af3XQRCaQc4_0d9rtgotdwPb2a5TwSrvYfMaIQmk48LwYg\u0026oe=69F454D8",
  "url": "https://www.facebook.com/reel/1289198792606656",
  "user_url": "https://www.facebook.com/natgeo",
  "user_username_raw": "National Geographic",
  "video_url": "https://video.fasr3-1.fna.fbcdn.net/o1/v/t2/f2/m366/AQPhXiCj4r3toUIcXjoJxM-1gSqUgHya13KlF_d5C-C0TMHQOyaZYu4R7BWKd7YzxY3-UnkRzmWtaCp8iWe3dQYjbml6W3boYmHVcBlIlyxk-w.mp4?_nc_cat=103\u0026_nc_oc=AdpfyBH45wbSAR0piMIF76fzglyLhvl7XT-q_fyWk2-6RA4OZ2YMbFrRbxMSIfo1fqo\u0026_nc_sid=5e9851\u0026_nc_ht=video.fasr3-1.fna.fbcdn.net\u0026_nc_ohc=p2noNM2jbPcQ7kNvwEdbEoh\u0026efg=eyJ2ZW5jb2RlX3RhZyI6Inhwdl9wcm9ncmVzc2l2ZS5GQUNFQk9PSy4uQzMuNzIwLmRhc2hfaDI2NC1iYXNpYy1nZW4yXzcyMHAiLCJ4cHZfYXNzZXRfaWQiOjE4NzI3MDgyMjY3Njg4NjIsImFzc2V0X2FnZV9kYXlzIjowLCJ2aV91c2VjYXNlX2lkIjoxMDEyNywiZHVyYXRpb25fcyI6NjgsInVybGdlbl9zb3VyY2UiOiJ3d3cifQ%3D%3D\u0026ccb=17-1\u0026vs=da9647e45064a5b5\u0026_nc_vs=HBksFQIYRWZiX2VwaGVtZXJhbC8zNjQ0MzVCMDJGMDc3MzU1MTFEM0VGN0E3QTVDQ0M5QV9tdF8xX3ZpZGVvX2Rhc2hpbml0Lm1wNBUAAsgBEgAVAhhAZmJfcGVybWFuZW50Lzg2NEI3MzU2QkNEQ0NDOEM0MEI2QUUwNjk2QTA3Q0FGX2F1ZGlvX2Rhc2hpbml0Lm1wNBUCAsgBEgAoABgAGwKIB3VzZV9vaWwBMRJwcm9ncmVzc2l2ZV9yZWNpcGUBMRUAACa8__7J-83TBhUCKAJDMywXQFEvCj1wo9cYGWRhc2hfaDI2NC1iYXNpYy1nZW4yXzcyMHARAHUCZZ6eAQA\u0026_nc_gid=kQzcRzQqYLwqTHNCxwebMg\u0026_nc_ss=79289\u0026_nc_zt=28\u0026oh=00_Af2dRGBkaNpyycXwG8N84Psi4Y8iLESFPn-MCu9rzGrsWA\u0026oe=69F44389\u0026bitrate=1146053\u0026tag=dash_h264-basic-gen2_720p",
  "video_view_count": 5300
}

👉 View Full Python Code

Method 2: Bright Data Facebook - Reels by profile URL Datasets

For use cases where you need ready-to-use data without writing any scraping code, the Bright Data Facebook - Reels by profile URL Dataset offers pre-collected, regularly updated data available for instant download.

Why use the dataset instead of the API?

  • 📦 Instant access: No setup, no code, no waiting for collection
  • 🔄 Regularly updated: Fresh data refreshed on a consistent schedule
  • 📊 Multiple formats: Download as JSON, JSONL, or CSV
  • 🌍 Massive scale: Millions of records across all major Facebook - Reels by profile URL categories
  • Fully compliant: Ethically sourced and legally cleared data

👉 Explore the Facebook - Reels by profile URL Dataset

Data Collection Approaches

Feature Bright Data Scraper API Bright Data Datasets
Setup required API token only None
Real-time data ✅ Yes ❌ Pre-collected
Custom queries ✅ Full control ❌ Fixed schema
Proxies included ✅ Built-in rotating N/A
CAPTCHA solving ✅ Automatic N/A
Scale Unlimited Unlimited
Structured output ✅ JSON / NDJSON / JSON Lines / CSV ✅ JSON / JSONL / CSV
Support Enterprise 24/7 Enterprise 24/7

🔗 Learn more: https://brightdata.com/products/web-scraper/facebook

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Free Trial | Facebook Reels scraper - extract Reels video data, views, likes, and creator info from Facebook profiles

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