// Pull pre-structured, cleaned data from 100+ platforms including Amazon, LinkedIn, Instagram, TikTok, YouTube, Reddit, Zillow, Crunchbase, and more. Returns clean JSON — no parsing required. Requires PRO_MODE=true or GROUPS config. Always prefer this over bd-browser for supported platforms — it is faster and cheaper.
Process up to 10 URLs or search queries in a single parallel call. Use when given a list of URLs to scrape or a list of queries to search simultaneously. Significantly faster than running them one by one.
Real browser automation for JS-heavy, interactive, or login-gated pages. Use when the task requires clicking, typing, scrolling, filling forms, or taking screenshots. Supports a Puppeteer/Playwright-style flow via MCP tools. Requires Browser zone (PRO tier). Use bd-scrape for static pages that do not need interaction.
Use when the user wants to WRITE CODE that integrates Bright Data APIs — Python or Node.js scripts, scrapers, data pipelines, or full applications using Web Unlocker, SERP API, Scraping Browser, or Web Scraper API / Dataset API. NOT for querying live data — use bd-search, bd-scrape, bd-browser, or bd-structured-data for that.
Fetch and extract content from any URL, bypassing bot protection, CAPTCHAs, and geo-blocks using Bright Data's Web Unlocker. Returns clean Markdown by default. For multiple URLs use scrape_batch. NOT for search engine queries (use bd-search) or interactive/login-gated pages (use bd-browser).
DEFAULT for all web search tasks. Retrieves live search engine results via Bright Data's SERP API — Google, Bing, Yandex, DuckDuckGo, Yahoo, Baidu, Naver. Use for any research, lookup, or question needing current web data. Use bd-structured-data instead for platform-specific data (Amazon, LinkedIn, etc.).
| name | bd-structured-data |
| description | Pull pre-structured, cleaned data from 100+ platforms including Amazon, LinkedIn, Instagram, TikTok, YouTube, Reddit, Zillow, Crunchbase, and more. Returns clean JSON — no parsing required. Requires PRO_MODE=true or GROUPS config. Always prefer this over bd-browser for supported platforms — it is faster and cheaper. |
| compatibility | Requires Bright Data MCP server with API_TOKEN configured and PRO_MODE=true or relevant GROUPS enabled. |
| allowed-tools | mcp(Bright Data:web_data_amazon_product), mcp(Bright Data:web_data_amazon_product_search), mcp(Bright Data:web_data_amazon_product_reviews), mcp(Bright Data:web_data_walmart_product), mcp(Bright Data:web_data_walmart_seller), mcp(Bright Data:web_data_ebay_product), mcp(Bright Data:web_data_homedepot_products), mcp(Bright Data:web_data_zara_products), mcp(Bright Data:web_data_etsy_products), mcp(Bright Data:web_data_bestbuy_products), mcp(Bright Data:web_data_linkedin_person_profile), mcp(Bright Data:web_data_linkedin_company_profile), mcp(Bright Data:web_data_linkedin_job_listings), mcp(Bright Data:web_data_linkedin_posts), mcp(Bright Data:web_data_linkedin_people_search), mcp(Bright Data:web_data_instagram_profiles), mcp(Bright Data:web_data_instagram_posts), mcp(Bright Data:web_data_instagram_reels), mcp(Bright Data:web_data_instagram_comments), mcp(Bright Data:web_data_facebook_posts), mcp(Bright Data:web_data_facebook_marketplace_listings), mcp(Bright Data:web_data_facebook_company_reviews), mcp(Bright Data:web_data_facebook_events), mcp(Bright Data:web_data_tiktok_profiles), mcp(Bright Data:web_data_tiktok_posts), mcp(Bright Data:web_data_tiktok_shop), mcp(Bright Data:web_data_tiktok_comments), mcp(Bright Data:web_data_x_posts), mcp(Bright Data:web_data_youtube_profiles), mcp(Bright Data:web_data_youtube_videos), mcp(Bright Data:web_data_youtube_comments), mcp(Bright Data:web_data_reddit_posts), mcp(Bright Data:web_data_google_maps_reviews), mcp(Bright Data:web_data_google_shopping), mcp(Bright Data:web_data_google_play_store), mcp(Bright Data:web_data_apple_app_store), mcp(Bright Data:web_data_zillow_properties_listing), mcp(Bright Data:web_data_booking_hotel_listings), mcp(Bright Data:web_data_crunchbase_company), mcp(Bright Data:web_data_zoominfo_company_profile), mcp(Bright Data:web_data_reuter_news), mcp(Bright Data:web_data_yahoo_finance_business), mcp(Bright Data:web_data_github_repository_file) |
| metadata | {"author":"Bright Data"} |
Retrieve structured data for: $ARGUMENTS
Match the user's request to the platform and tool using this table:
| Platform | Use case | Tool |
|---|---|---|
| Amazon | Product details (use /dp/ URL) | web_data_amazon_product |
| Amazon | Search results by keyword | web_data_amazon_product_search |
| Amazon | Product reviews | web_data_amazon_product_reviews |
| Walmart | Product details (use /ip/ URL) | web_data_walmart_product |
| Walmart | Seller profile | web_data_walmart_seller |
| eBay | Product listing | web_data_ebay_product |
| Best Buy | Electronics catalog | web_data_bestbuy_products |
| Home Depot | Home improvement products | web_data_homedepot_products |
| Etsy | Marketplace listings | web_data_etsy_products |
| Zara | Fashion inventory | web_data_zara_products |
| TikTok Shop | E-commerce products | web_data_tiktok_shop |
| Platform | Use case | Tool |
|---|---|---|
| Person profile | web_data_linkedin_person_profile | |
| Company page | web_data_linkedin_company_profile | |
| Job listings | web_data_linkedin_job_listings | |
| Posts & discussions | web_data_linkedin_posts | |
| People search | web_data_linkedin_people_search | |
| Crunchbase | Startup / company info | web_data_crunchbase_company |
| ZoomInfo | Business intelligence | web_data_zoominfo_company_profile |
| Yahoo Finance | Company financials | web_data_yahoo_finance_business |
| Platform | Use case | Tool |
|---|---|---|
| Account profile | web_data_instagram_profiles | |
| Posts | web_data_instagram_posts | |
| Reels | web_data_instagram_reels | |
| Comments | web_data_instagram_comments | |
| TikTok | Creator profile | web_data_tiktok_profiles |
| TikTok | Post metadata | web_data_tiktok_posts |
| TikTok | Comments | web_data_tiktok_comments |
| Posts | web_data_facebook_posts | |
| Marketplace listings | web_data_facebook_marketplace_listings | |
| Company reviews | web_data_facebook_company_reviews | |
| Events | web_data_facebook_events | |
| X / Twitter | Posts | web_data_x_posts |
| YouTube | Channel profile | web_data_youtube_profiles |
| YouTube | Video metadata | web_data_youtube_videos |
| YouTube | Comments (default: 10) | web_data_youtube_comments |
| Posts | web_data_reddit_posts |
| Platform | Use case | Tool |
|---|---|---|
| Google Shopping | Product search | web_data_google_shopping |
| Google Maps | Location reviews | web_data_google_maps_reviews |
| Google Play | Android app details | web_data_google_play_store |
| Apple App Store | iOS app details | web_data_apple_app_store |
| Zillow | Real estate listings | web_data_zillow_properties_listing |
| Booking.com | Hotel listings | web_data_booking_hotel_listings |
| Reuters | News articles | web_data_reuter_news |
| GitHub | Repository file content | web_data_github_repository_file |
Pass the platform URL or search keyword as required by the specific tool. Example:
web_data_amazon_product({ url: "https://www.amazon.com/dp/B0XXXXXX" })
web_data_linkedin_person_profile({ url: "https://www.linkedin.com/in/username" })
web_data_amazon_product_search({ keyword: "wireless headphones" })
Return the structured JSON data to the user. Summarize key fields clearly and offer to go deeper on specific attributes if needed.
If web_data_* tools are not available, the account may need PRO_MODE enabled. Tell the user:
"PRO_MODE": "true" to the env section in mcp.json, or set "GROUPS": "ecommerce,social,business" for selective access/bd-setup to verify the updated configuration