Agent Skills: Bright Data - Structured 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.

UncategorizedID: davila7/claude-code-templates/data-feeds

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pnpm dlx add-skill https://github.com/davila7/claude-code-templates/tree/HEAD/cli-tool/components/skills/web-data/data-feeds

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

Skill Metadata

Name
data-feeds
Description
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.

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

  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"}'