Bright Data
Search, Crawl and Scrape any site, at scale, without getting blocked
1.0.1Bright Data is a web data platform that enables large-scale scraping, searching, and structured data extraction without getting blocked. This toolkit exposes Bright Data's proxy and scraping infrastructure through Arcade tools.
Capabilities
- Web scraping: Fetch any public webpage and return its content as clean Markdown, suitable for LLM consumption or downstream processing.
- Multi-engine search: Query Google, Bing, or Yandex with control over result count, search type (web/images), and country targeting.
- Structured data feeds: Extract pre-parsed, schema'd data from major platforms — Amazon (products, reviews), LinkedIn (people, companies), Instagram, Facebook, X, YouTube, Zillow, Booking.com, and ZoomInfo — without writing custom parsers.
Secrets
This toolkit requires no OAuth flow, but two secrets must be configured before any tool can be called.
-
BRIGHTDATA_API_KEY— Your Bright Data API key, used to authenticate all requests. Obtain it from the Bright Data control panel under Account Settings → API Token. Any paid Bright Data account can generate one; free-tier access may be limited. -
BRIGHTDATA_ZONE— The name of a Bright Data proxy zone (also called a "zone" or "dataset zone") that the toolkit routes requests through. Create or view zones in the Bright Data control panel. The zone must be active and have sufficient traffic/quota for your use case; different zone types (residential, datacenter, ISP) affect success rates and cost.
Configure both secrets via the Arcade secrets docs or directly in the Arcade dashboard.
Available tools(3)
| Tool name | Description | Secrets | |
|---|---|---|---|
Scrape a webpage and return content in Markdown format using Bright Data.
Examples:
scrape_as_markdown("https://example.com") -> "# Example Page
Content..."
scrape_as_markdown("https://news.ycombinator.com") -> "# Hacker News
..."
| 2 | ||
Search using Google, Bing, or Yandex with advanced parameters using Bright Data.
Examples:
search_engine("climate change") -> "# Search Results
## Climate Change - Wikipedia
..."
search_engine("Python tutorials", engine="bing", num_results=5) -> "# Bing Results
..."
search_engine("cats", search_type="images", country_code="us") -> "# Image Results
..."
| 2 | ||
Extract structured data from various websites like LinkedIn, Amazon, Instagram, etc.
NEVER MAKE UP LINKS. IF LINKS ARE NEEDED, FIND THEM WITH A WEB SEARCH FIRST.
Supported source types:
- amazon_product, amazon_product_reviews
- linkedin_person_profile, linkedin_company_profile
- zoominfo_company_profile
- instagram_profiles, instagram_posts, instagram_reels, instagram_comments
- facebook_posts, facebook_marketplace_listings, facebook_company_reviews
- x_posts
- zillow_properties_listing
- booking_hotel_listings
- youtube_videos
Examples:
web_data_feed("amazon_product", "https://amazon.com/dp/B08N5WRWNW")
-> "{"title": "Product Name", ...}"
web_data_feed("linkedin_person_profile", "https://linkedin.com/in/johndoe")
-> "{"name": "John Doe", ...}"
web_data_feed(
"facebook_company_reviews", "https://facebook.com/company", num_of_reviews=50
) -> "[{"review": "...", ...}]" | 1 |