Bright Data - Structured Data Feeds

SkillWeb & browsing

data-feeds is a skill that lets an AI agent extract structured data from over 40 websites, including Amazon, LinkedIn, Instagram, TikTok, Facebook, and YouTube. It uses Bright Data's Web Data APIs with automatic polling and returns clean JSON containing product details, profiles, reviews, posts, and comments.

Use Bright Data - Structured Data Feeds in Claude, ChatGPT or Ahel Desktop

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Then ask your AI: use the Bright Data - Structured Data Feeds skill

Details

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Have access to Bright Data's Web Data APIs.

Bright Data - Structured Data FeedsStart free

What your AI can do with it

  • Extract product details from Amazon
  • Pull profiles from LinkedIn
  • Collect posts and comments from Instagram, TikTok, Facebook, and YouTube
  • Return clean JSON for reviews and other structured data
  • Use Bright Data's Web Data APIs with automatic polling

Getting started

  1. Have access to Bright Data's Web Data APIs.
  2. Add the data-feeds skill to your AI agent's configuration.
  3. Configure the skill with your Bright Data API credentials.
  4. Specify the target website and data type you want to extract.
  5. Run the agent to receive structured JSON results.

What this skill tells your AI

The instructions your AI receives, as published by davila7/claude-code-templates in cli-tool/components/skills/web-data/data-feeds/SKILL.md and read by ahel’s review.

Extract structured data from major websites with automatic parsing. No scraping logic needed - just provide a URL and get clean JSON data.

Setup

Environment Variables (Required)

export BRIGHTDATA_API_KEY="your-api-key"

Optional

export BRIGHTDATA_POLLING_TIMEOUT=600  # Max seconds to wait (default: 600)

Get your API key from Bright Data Dashboard.

Usage

bash scripts/datasets.sh <dataset_type> <url> [additional_params...]

Available Datasets

E-Commerce

DatasetCommandDescription
Amazon Productdatasets.sh amazon_product <url>Product details, pricing, ratings
Amazon Reviewsdatasets.sh amazon_product_reviews <url>Customer reviews for a product
Amazon Searchdatasets.sh amazon_product_search <keyword> <domain_url>Search results
Walmart Productdatasets.sh walmart_product <url>Product details from Walmart
Walmart Sellerdatasets.sh walmart_seller <url>Seller information
eBay Productdatasets.sh ebay_product <url>eBay listing details
Home Depotdatasets.sh homedepot_products <url>Home Depot product data
Zaradatasets.sh zara_products <url>Zara product details
Etsydatasets.sh etsy_products <url>Etsy listing data
Best Buydatasets.sh bestbuy_products <url>Best Buy product info

Professional Networks

DatasetCommandDescription
LinkedIn Persondatasets.sh linkedin_person_profile <url>Profile data (experience, skills)
LinkedIn Companydatasets.sh linkedin_company_profile <url>Company page data
LinkedIn Jobsdatasets.sh linkedin_job_listings <url>Job posting details
LinkedIn Postsdatasets.sh linkedin_posts <url>Post content and engagement
LinkedIn Searchdatasets.sh linkedin_people_search <url> <first> <last>Find people
Crunchbasedatasets.sh crunchbase_company <url>Company funding, employees
ZoomInfodatasets.sh zoominfo_company_profile <url>Company profile data

Instagram

DatasetCommandDescription
Profilesdatasets.sh instagram_profiles <url>Bio, followers, following
Postsdatasets.sh instagram_posts <url>Post details, likes, captions
Reelsdatasets.sh instagram_reels <url>Reel data and metrics
Commentsdatasets.sh instagram_comments <url>Post comments

Facebook

DatasetCommandDescription
Postsdatasets.sh facebook_posts <url>Post content and reactions
Marketplacedatasets.sh facebook_marketplace_listings <url>Listing details
Reviewsdatasets.sh facebook_company_reviews <url> [num]Company reviews
Eventsdatasets.sh facebook_events <url>Event details

TikTok

DatasetCommandDescription
Profilesdatasets.sh tiktok_profiles <url>Creator profile data
Postsdatasets.sh tiktok_posts <url>Video details and metrics
Shopdatasets.sh tiktok_shop <url>TikTok Shop product data
Commentsdatasets.sh tiktok_comments <url>Video comments

YouTube

DatasetCommandDescription
Profilesdatasets.sh youtube_profiles <url>Channel data
Videosdatasets.sh youtube_videos <url>Video details and stats
Commentsdatasets.sh youtube_comments <url> [num]Video comments (default: 10)

Other Social

DatasetCommandDescription
X (Twitter)datasets.sh x_posts <url>Tweet data
Redditdatasets.sh reddit_posts <url>Post and comment data

Google Services

DatasetCommandDescription
Maps Reviewsdatasets.sh google_maps_reviews <url> [days]Business reviews (default: 3 days)
Shoppingdatasets.sh google_shopping <url>Product comparison data
Play Storedatasets.sh google_play_store <url>App details and reviews

Other

DatasetCommandDescription
Apple App Storedatasets.sh apple_app_store <url>iOS app data
Reuters Newsdatasets.sh reuter_news <url>News article content
GitHubdatasets.sh github_repository_file <url>Repository file data
Yahoo Financedatasets.sh yahoo_finance_business <url>Stock and company data
Zillowdatasets.sh zillow_properties_listing <url>Property listing details
Booking.comdatasets.sh booking_hotel_listings <url>Hotel listing data

Examples

Get LinkedIn Profile

bash scripts/datasets.sh linkedin_person_profile "https://www.linkedin.com/in/satyanadella/"

Get Amazon Product

bash scripts/datasets.sh amazon_product "https://www.amazon.com/dp/B09V3KXJPB"

Get Instagram Profile

bash scripts/datasets.sh instagram_profiles "https://www.instagram.com/natgeo/"

Get YouTube Comments

bash scripts/datasets.sh youtube_comments "https://www.youtube.com/watch?v=dQw4w9WgXcQ" 20

Search Amazon

bash scripts/datasets.sh amazon_product_search "wireless headphones" "https://www.amazon.com"

Output Format

Returns structured JSON with website-specific fields. Example for LinkedIn profile:

{
  "name": "Satya Nadella",
  "headline": "Chairman and CEO at Microsoft",
  "location": "Greater Seattle Area",
  "connections": "500+",
  "experience": [...],
  "education": [...],
  "skills": [...]
}

How It Works

  1. Trigger: Sends URL to Bright Data's Web Data API
  2. Poll: Waits for data collection to complete (checks every second)
  3. Return: Outputs structured JSON when ready

The polling mechanism handles rate limits and ensures data quality by waiting for full extraction.

Advanced: Direct Fetch

For custom dataset IDs or advanced use cases:

bash scripts/fetch.sh <dataset_id> '<json_input>'

Example:

bash scripts/fetch.sh gd_l1viktl72bvl7bjuj0 '{"url":"https://linkedin.com/in/someone"}'

Signals

GitHub stars
32k
Forks
4k
Last commit
Oct 2026

Questions

What websites does data-feeds support?
It supports over 40 websites, including Amazon, LinkedIn, Instagram, TikTok, Facebook, and YouTube.
What kind of data can it extract?
It extracts product details, profiles, reviews, posts, and comments, returning them as clean JSON.
Does it handle polling automatically?
Yes, it uses Bright Data's Web Data APIs with automatic polling.
What do I need to start using data-feeds?
You need access to Bright Data's Web Data APIs and to configure the skill with your API credentials.
What format does the output use?
The output is clean JSON.
Advanced
Item type
skill
Key
data-feeds
Source
github.com/davila7/claude-code-templates