ScrapeGraph AI - Intelligent Web Scraping
Setup
Read your credentials from ~/.gooseworks/credentials.json:
export GOOSEWORKS_API_KEY=$(python3 -c "import json;print(json.load(open('$HOME/.gooseworks/credentials.json'))['api_key'])")
export GOOSEWORKS_API_BASE=$(python3 -c "import json;print(json.load(open('$HOME/.gooseworks/credentials.json')).get('api_base','https://api.gooseworks.ai'))")
If ~/.gooseworks/credentials.json does not exist, tell the user to run: npx gooseworks login
All endpoints use Bearer auth: -H "Authorization: Bearer $GOOSEWORKS_API_KEY"
Extract web content using AI with natural language prompts.
Capabilities
- Start SmartScraper: Extract content from a webpage using AI by providing a natural language prompt and a URL
- Start SearchScraper: Start a new AI-powered web search request
- Scrape: Extract raw HTML content from web pages with JavaScript rendering support
- Start SmartCrawler: Start a new web crawl request with AI extraction or markdown conversion
- Start Sitemap: Extract all URLs from a website sitemap automatically
- Start Markdownify: Convert any webpage into clean, readable Markdown format
- Get SearchScraper Status: Get the status and results of a previous search request (free)
- Get Markdownify Status: Check the status and retrieve results of a Markdownify request (free)
- Get Sitemap Status: Check the status and retrieve results of a Sitemap request (free)
- Get SmartCrawler Status: Get the status and results of a previous smartcrawl request (free)
- Get SmartScraper Status: Check the status and retrieve results of a SmartScraper request (free)
Usage
Start SmartScraper
Extract content from a webpage using AI by providing a natural language prompt and a URL.
Parameters:
- user_prompt* (string) - Natural language description of what information you want to extract from the webpage.
- website_url* (string) - The URL of the webpage you want to extract information from. You must provide exactly one of: website_url, website_html, or website_markdown.
- website_html (string) - Raw HTML content to process directly (max 2MB). Mutually exclusive with website_url and website_markdown. Useful when you already have HTML content cached or want to process modified HTML.
- headers (object) - Optional custom HTTP headers to send with the request. Useful for setting User-Agent, cookies, authentication tokens, and other request metadata. Example: {"User-Agent": "Mozilla/5.0...", "Cookie": "session=abc123"}
- output_schema (object) - Optional schema to structure the output. If provided, the AI will attempt to format the results according to this schema.
- stealth (boolean) - Enable stealth mode to bypass bot protection using advanced anti-detection techniques. Adds +4 credits to the request cost
- website_markdown (string) - Raw Markdown content to process directly (max 2MB). Mutually exclusive with website_url and website_html. Perfect for extracting structured data from Markdown documentation, README files, or any content already in Markdown format.
- total_pages (number) - Optional parameter to enable pagination and scrape multiple pages. Specify the number of pages to extract data from. Default: 1 Range: 1-100
- number_of_scrolls (number) - Optional parameter for infinite scroll pages. Specify how many times to scroll down to load more content before extraction. Default: 0 Range: 0-50
- render_heavy_js (boolean) - Optional parameter to enable enhanced JavaScript rendering for heavy JS websites (React, Vue, Angular, SPAs). Use when standard rendering doesn’t capture all content. Default: false
- mock (boolean) - Optional parameter to enable mock mode. When set to true, the request will return mock data instead of performing an actual extraction. Useful for testing and development. Default: false
- cookies (object) - Optional cookies object for authentication and session management. Useful for accessing authenticated pages or maintaining session state. Example: {"session_id": "abc123", "auth_token": "xyz789"}
- steps (array) - Optional array of interaction steps to perform on the webpage before extraction. Each step is a string describing the action to take (e.g., “click on filter button”, “wait for results to load”). Example: ["click on search button", "type query in search box", "wait for results"]
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
-H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
-H "Content-Type: application/json" \
-d '{"api":"scrapegraph","path":"/v1/smartscraper"}'
"website_url": "https://example.com/products",
"user_prompt": "Extract all product names and prices"
}'
Start SearchScraper
Start a new AI-powered web search request
Parameters:
- user_prompt* (string) - The search query or question you want to ask. This should be a clear and specific prompt that will guide the AI in finding and extracting relevant information. Example: “What is the latest version of Python and what are its main features?”
- headers (object) - Optional headers to customize the search behavior. This can include user agent, cookies, or other HTTP headers. Example: { "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36", "Cookie": "cookie1=value1; cookie2=value2" }
- output_schema (object) - Optional schema to structure the output. If provided, the AI will attempt to format the results according to this schema. Example: { "properties": { "version": {"type": "string"}, "release_date": {"type": "string"}, "major_features": {"type": "array", "items": {"type": "string"}} }, "required": ["version", "release_date", "major_features"] }
- mock (string) - Optional parameter to enable mock mode. When set to true, the request will return mock data instead of performing an actual search. Useful for testing and development. Default: false
- stealth (boolean) - Optional parameter to enable stealth mode. When set to true, the scraper will use advanced anti-detection techniques to bypass bot protection and access protected websites. Adds +4 credits to the request cost. Default: false
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
-H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
-H "Content-Type: application/json" \
-d '{"api":"scrapegraph","path":"/v1/searchscraper","body":{"user_prompt":"Find the latest iPhone prices from major retailers"}}'
Scrape
Extract raw HTML content from web pages with JavaScript rendering support
Parameters:
- website_url* (string) - The URL of the webpage to scrape. Example: "https://example.com"
- render_heavy_js (boolean) - Set to true for heavy JavaScript rendering. Default: false
- branding (boolean) - Return extracted brand design and metadata. Default: false
- stealth (string) - Enable stealth mode for anti-bot protection. Adds additional credits. Default: false
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
-H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
-H "Content-Type: application/json" \
-d '{"api":"scrapegraph","path":"/v1/scrape","body":{"website_url":"https://example.com"}}'
Start SmartCrawler
Start a new web crawl request with AI extraction or markdown conversion
Parameters:
- url* (string)
- prompt (string)
- extraction_mode (boolean)
- cache_website (boolean)
- depth (number)
- max_pages (number)
- same_domain_only (boolean)
- batch_size (integer)
- schema (object)
- rules (object)
- sitemap (string)
- render_heavy_js (string)
- stealth (string)
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
-H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
-H "Content-Type: application/json" \
-d '{"api":"scrapegraph","path":"/v1/crawl"}'
"url": "https://docs.example.com",
"prompt": "Extract all API endpoints and their descriptions"
}'
Start Sitemap
Extract all URLs from a website sitemap automatically.
Parameters:
- websi