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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.

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data-feeds
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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 <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 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 <dataset_id> '<json_input>' ``` Example: ```bash bash scripts/fetch.sh gd_l1viktl72bvl7bjuj0 '{"url":"https://linkedin.com/in/someone"}' ```
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