Bright Data - Structured Data Feeds
SkillWeb & browsingdata-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
Free. Sign in, add Bright Data - Structured Data Feeds and connect your AI. About a minute.
Also: Claude Code · Cursor · Codex
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.
Account requirements not reviewed. Check the skill instructions before use; ahel provides instructions and does not run this skill.
No other account needed.
Have access to Bright Data's Web Data APIs.
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
- Have access to Bright Data's Web Data APIs.
- Add the data-feeds skill to your AI agent's configuration.
- Configure the skill with your Bright Data API credentials.
- Specify the target website and data type you want to extract.
- 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
| Dataset | Command | Description |
|---|---|---|
| Amazon Product | datasets.sh amazon_product <url> | Product details, pricing, ratings |
| Amazon Reviews | datasets.sh amazon_product_reviews <url> | Customer reviews for a product |
| Amazon Search | datasets.sh amazon_product_search <keyword> <domain_url> | Search results |
| Walmart Product | datasets.sh walmart_product <url> | Product details from Walmart |
| Walmart Seller | datasets.sh walmart_seller <url> | Seller information |
| eBay Product | datasets.sh ebay_product <url> | eBay listing details |
| Home Depot | datasets.sh homedepot_products <url> | Home Depot product data |
| Zara | datasets.sh zara_products <url> | Zara product details |
| Etsy | datasets.sh etsy_products <url> | Etsy listing data |
| Best Buy | datasets.sh bestbuy_products <url> | Best Buy product info |
Professional Networks
| Dataset | Command | Description |
|---|---|---|
| LinkedIn Person | datasets.sh linkedin_person_profile <url> | Profile data (experience, skills) |
| LinkedIn Company | datasets.sh linkedin_company_profile <url> | Company page data |
| LinkedIn Jobs | datasets.sh linkedin_job_listings <url> | Job posting details |
| LinkedIn Posts | datasets.sh linkedin_posts <url> | Post content and engagement |
| LinkedIn Search | datasets.sh linkedin_people_search <url> <first> <last> | Find people |
| Crunchbase | datasets.sh crunchbase_company <url> | Company funding, employees |
| ZoomInfo | datasets.sh zoominfo_company_profile <url> | Company profile data |
| Dataset | Command | Description |
|---|---|---|
| Profiles | datasets.sh instagram_profiles <url> | Bio, followers, following |
| Posts | datasets.sh instagram_posts <url> | Post details, likes, captions |
| Reels | datasets.sh instagram_reels <url> | Reel data and metrics |
| Comments | datasets.sh instagram_comments <url> | Post comments |
| Dataset | Command | Description |
|---|---|---|
| Posts | datasets.sh facebook_posts <url> | Post content and reactions |
| Marketplace | datasets.sh facebook_marketplace_listings <url> | Listing details |
| Reviews | datasets.sh facebook_company_reviews <url> [num] | Company reviews |
| Events | datasets.sh facebook_events <url> | Event details |
TikTok
| Dataset | Command | Description |
|---|---|---|
| Profiles | datasets.sh tiktok_profiles <url> | Creator profile data |
| Posts | datasets.sh tiktok_posts <url> | Video details and metrics |
| Shop | datasets.sh tiktok_shop <url> | TikTok Shop product data |
| Comments | datasets.sh tiktok_comments <url> | Video comments |
YouTube
| Dataset | Command | Description |
|---|---|---|
| Profiles | datasets.sh youtube_profiles <url> | Channel data |
| Videos | datasets.sh youtube_videos <url> | Video details and stats |
| Comments | datasets.sh youtube_comments <url> [num] | Video comments (default: 10) |
Other Social
| Dataset | Command | Description |
|---|---|---|
| X (Twitter) | datasets.sh x_posts <url> | Tweet data |
datasets.sh reddit_posts <url> | Post and comment data |
Google Services
| Dataset | Command | Description |
|---|---|---|
| Maps Reviews | datasets.sh google_maps_reviews <url> [days] | Business reviews (default: 3 days) |
| Shopping | datasets.sh google_shopping <url> | Product comparison data |
| Play Store | datasets.sh google_play_store <url> | App details and reviews |
Other
| Dataset | Command | Description |
|---|---|---|
| Apple App Store | datasets.sh apple_app_store <url> | iOS app data |
| Reuters News | datasets.sh reuter_news <url> | News article content |
| GitHub | datasets.sh github_repository_file <url> | Repository file data |
| Yahoo Finance | datasets.sh yahoo_finance_business <url> | Stock and company data |
| Zillow | datasets.sh zillow_properties_listing <url> | Property listing details |
| Booking.com | datasets.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
- Trigger: Sends URL to Bright Data's Web Data API
- Poll: Waits for data collection to complete (checks every second)
- 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
github.com/davila7/claude-code-templates