--- 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) ```bash export BRIGHTDATA_API_KEY="your-api-key" ``` ### Optional ```bash export BRIGHTDATA_POLLING_TIMEOUT=600 # Max seconds to wait (default: 600) ``` Get your API key from [Bright Data Dashboard](https://brightdata.com/cp). ## Usage ```bash bash scripts/datasets.sh [additional_params...] ``` ## Available Datasets ### E-Commerce | Dataset | Command | Description | |---------|---------|-------------| | Amazon Product | `datasets.sh amazon_product ` | Product details, pricing, ratings | | Amazon Reviews | `datasets.sh amazon_product_reviews ` | Customer reviews for a product | | Amazon Search | `datasets.sh amazon_product_search ` | Search results | | Walmart Product | `datasets.sh walmart_product ` | Product details from Walmart | | Walmart Seller | `datasets.sh walmart_seller ` | Seller information | | eBay Product | `datasets.sh ebay_product ` | eBay listing details | | Home Depot | `datasets.sh homedepot_products ` | Home Depot product data | | Zara | `datasets.sh zara_products ` | Zara product details | | Etsy | `datasets.sh etsy_products ` | Etsy listing data | | Best Buy | `datasets.sh bestbuy_products ` | Best Buy product info | ### Professional Networks | Dataset | Command | Description | |---------|---------|-------------| | LinkedIn Person | `datasets.sh linkedin_person_profile ` | Profile data (experience, skills) | | LinkedIn Company | `datasets.sh linkedin_company_profile ` | Company page data | | LinkedIn Jobs | `datasets.sh linkedin_job_listings ` | Job posting details | | LinkedIn Posts | `datasets.sh linkedin_posts ` | Post content and engagement | | LinkedIn Search | `datasets.sh linkedin_people_search ` | Find people | | Crunchbase | `datasets.sh crunchbase_company ` | Company funding, employees | | ZoomInfo | `datasets.sh zoominfo_company_profile ` | Company profile data | ### Instagram | Dataset | Command | Description | |---------|---------|-------------| | Profiles | `datasets.sh instagram_profiles ` | Bio, followers, following | | Posts | `datasets.sh instagram_posts ` | Post details, likes, captions | | Reels | `datasets.sh instagram_reels ` | Reel data and metrics | | Comments | `datasets.sh instagram_comments ` | Post comments | ### Facebook | Dataset | Command | Description | |---------|---------|-------------| | Posts | `datasets.sh facebook_posts ` | Post content and reactions | | Marketplace | `datasets.sh facebook_marketplace_listings ` | Listing details | | Reviews | `datasets.sh facebook_company_reviews [num]` | Company reviews | | Events | `datasets.sh facebook_events ` | Event details | ### TikTok | Dataset | Command | Description | |---------|---------|-------------| | Profiles | `datasets.sh tiktok_profiles ` | Creator profile data | | Posts | `datasets.sh tiktok_posts ` | Video details and metrics | | Shop | `datasets.sh tiktok_shop ` | TikTok Shop product data | | Comments | `datasets.sh tiktok_comments ` | Video comments | ### YouTube | Dataset | Command | Description | |---------|---------|-------------| | Profiles | `datasets.sh youtube_profiles ` | Channel data | | Videos | `datasets.sh youtube_videos ` | Video details and stats | | Comments | `datasets.sh youtube_comments [num]` | Video comments (default: 10) | ### Other Social | Dataset | Command | Description | |---------|---------|-------------| | X (Twitter) | `datasets.sh x_posts ` | Tweet data | | Reddit | `datasets.sh reddit_posts ` | Post and comment data | ### Google Services | Dataset | Command | Description | |---------|---------|-------------| | Maps Reviews | `datasets.sh google_maps_reviews [days]` | Business reviews (default: 3 days) | | Shopping | `datasets.sh google_shopping ` | Product comparison data | | Play Store | `datasets.sh google_play_store ` | App details and reviews | ### Other | Dataset | Command | Description | |---------|---------|-------------| | Apple App Store | `datasets.sh apple_app_store ` | iOS app data | | Reuters News | `datasets.sh reuter_news ` | News article content | | GitHub | `datasets.sh github_repository_file ` | Repository file data | | Yahoo Finance | `datasets.sh yahoo_finance_business ` | Stock and company data | | Zillow | `datasets.sh zillow_properties_listing ` | Property listing details | | Booking.com | `datasets.sh booking_hotel_listings ` | Hotel listing data | ## Examples ### Get LinkedIn Profile ```bash bash scripts/datasets.sh linkedin_person_profile "https://www.linkedin.com/in/satyanadella/" ``` ### Get Amazon Product ```bash bash scripts/datasets.sh amazon_product "https://www.amazon.com/dp/B09V3KXJPB" ``` ### Get Instagram Profile ```bash bash scripts/datasets.sh instagram_profiles "https://www.instagram.com/natgeo/" ``` ### Get YouTube Comments ```bash bash scripts/datasets.sh youtube_comments "https://www.youtube.com/watch?v=dQw4w9WgXcQ" 20 ``` ### Search Amazon ```bash 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: ```json { "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 bash scripts/fetch.sh '' ``` Example: ```bash bash scripts/fetch.sh gd_l1viktl72bvl7bjuj0 '{"url":"https://linkedin.com/in/someone"}' ```

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