Claude-code-templates data-feeds

Extract structured data from 40+ websites including Amazon, LinkedIn, Instagram, TikTok, Facebook, YouTube, and more. Uses Bright Data's Web Data APIs with automatic polling. Returns clean JSON with product details, profiles, reviews, posts, and comments.

install

source · Clone the upstream repo

git clone https://github.com/davila7/claude-code-templates

Claude Code · Install into ~/.claude/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/davila7/claude-code-templates "$T" && mkdir -p ~/.claude/skills && cp -r "$T/cli-tool/components/skills/web-data/data-feeds" ~/.claude/skills/davila7-claude-code-templates-data-feeds && rm -rf "$T"

manifest: cli-tool/components/skills/web-data/data-feeds/SKILL.md

source content

Bright Data - Structured Data Feeds

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

Instagram

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

Facebook

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
Reddit	`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"}'