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Get Started Free →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.
| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-01 | ✗→✓ | ▲ Improved | 65% | 0% |
| case-03 | ✗→✓ | ▲ Improved | 34% | 0% |
| case-04 | ✗→✓ | ▲ Improved | -12% | 0% |
| case-05 | ✗→✓ | ▲ Improved | -35% | 0% |
| case-06 | ✗→✓ | ▲ Improved | 319% | 0% |
Extract structured data from major websites with automatic parsing. No scraping logic needed - just provide a URL and get clean JSON data.
bashexport BRIGHTDATA_API_KEY="your-api-key"
bashexport BRIGHTDATA_POLLING_TIMEOUT=600 # Max seconds to wait (default: 600)
Get your API key from Bright Data Dashboard.
bashbash scripts/datasets.sh <dataset_type> <url> [additional_params...]
| 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 |
| 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 |
| 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 |
| 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) |
| Dataset | Command | Description | |---------|---------|-------------| | X (Twitter) | datasets.sh x_posts <url> | Tweet data | | Reddit | datasets.sh reddit_posts <url> | Post and comment data |
| 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 |
| 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 |
bashbash scripts/datasets.sh linkedin_person_profile "https://www.linkedin.com/in/satyanadella/"
bashbash scripts/datasets.sh amazon_product "https://www.amazon.com/dp/B09V3KXJPB"
bashbash scripts/datasets.sh instagram_profiles "https://www.instagram.com/natgeo/"
bashbash scripts/datasets.sh youtube_comments "https://www.youtube.com/watch?v=dQw4w9WgXcQ" 20
bashbash scripts/datasets.sh amazon_product_search "wireless headphones" "https://www.amazon.com"
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": [...] }
The polling mechanism handles rate limits and ensures data quality by waiting for full extraction.
For custom dataset IDs or advanced use cases:
bashbash scripts/fetch.sh <dataset_id> '<json_input>'
Example:
bashbash scripts/fetch.sh gd_l1viktl72bvl7bjuj0 '{"url":"https://linkedin.com/in/someone"}'
Other measured skills in the registry, with their headline benchmark lift.