Extract Webpage Data
SkillWeb & browsingExtract structured data from web pages using AI
Use Extract Webpage Data in Claude, ChatGPT or Ahel Desktop
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Also: Claude Code · Cursor · Codex
Then ask your AI: use the Extract Webpage Data skill
Details
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
Account requirements not reviewed. Check the skill instructions before use; Ahel provides instructions and does not run this skill.
No other account needed.
Add Ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
What this skill tells your AI
The instructions your AI receives, as published by gooseworks-ai/goose-skills in skills/research-tools/capabilities/extract-webpage-data/SKILL.md and read by Ahel’s review.
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 structured data from any web page using AI. Turn messy HTML into clean, organized data.
When to Use
- User wants to extract specific data from a website
- User asks to scrape information from a page
- User needs structured data from unstructured content
- User wants to pull product info, contact details, etc.
- Converting web content to usable data
How It Works
Uses Olostep, Scrapegraph, or Riveter APIs for AI-powered data extraction.
Usage
Simple Scrape with Olostep
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
-H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
-H "Content-Type: application/json" \
-d '{"api":"olostep","path":"/v1/scrapes","body":{"url_to_scrape":"https://example.com/products"}}'
AI-Powered Extraction with Scrapegraph
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","body":{"website_url":"https://example.com/team","user_prompt":"Extract all team members with their names, titles, and LinkedIn URLs"}}'
Schema-Based Extraction with Riveter
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
-H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
-H "Content-Type: application/json" \
-d '{"api":"riveter","path":"/v1/scrape","body":{"url":"https://example.com","schema":{"name":"string","price":"number","description":"string"}}}'
Get AI Answer from Web
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
-H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
-H "Content-Type: application/json" \
-d '{"api":"olostep","path":"/v1/answers","body":{"task":"Find the pricing for Notion Teams plan from their website"}}'
Crawl Multiple Pages
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
-H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
-H "Content-Type: application/json" \
-d '{"api":"olostep","path":"/v1/crawls","body":{"start_url":"https://example.com","max_pages":10}}'
Parameters
Olostep Scrape
- url_to_scrape (required) - URL to scrape
- formats - Output formats (markdown, html, text)
Scrapegraph
- website_url (required) - URL to scrape
- user_prompt (required) - Natural language description of what to extract
Riveter
- url (required) - URL to scrape
- schema - JSON schema defining the data structure to extract
Olostep Answer
- task (required) - Natural language task/question
Response
Olostep Response
Returns a scrape object:
- id (string) - Scrape ID (e.g.,
scrape_z926lxxon3) - result.markdown_content (string|null) - Page content as markdown
- result.html_content (string|null) - Raw HTML (if requested via
formats) - result.text_content (string|null) - Plain text (if requested)
- result.markdown_hosted_url (string|null) - S3 URL for large content
- result.links_on_page (array) - Links found on the page
- result.screenshot_hosted_url (string|null) - Screenshot URL (if requested)
- result.page_metadata (object) -
status_codeof the page - credits_consumed (integer) - Credits used for this scrape
Async crawls: POST /v1/crawls returns an id. Poll with GET /v1/crawls/{id} until complete.
Scrapegraph Response
Returns structured extraction result:
- request_id (string) - Unique request identifier
- status (string) -
completedorpending - result (object) - AI-extracted data matching your prompt (dynamic keys)
- error (string) - Empty on success, error message on failure
Note: For large pages, the POST may return status: "pending". Poll with GET /v1/smartscraper/{request_id} until status is completed.
Riveter Response
Returns scrape result:
- request_status (string) -
successorerror - message (string) - Human-readable status
- text (string) - Extracted page text content
- url (string) - URL that was scraped
- status_code (integer) - HTTP status of the page
- run_key (string) - Unique run identifier
- base_url_for_links (string) - Base URL for resolving relative links
- riveter_app_link (string) - Link to view run in Riveter dashboard
- credit_used (integer) - Credits consumed
Examples
User: "Get all the product names and prices from this page"
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","body":{"website_url":"https://example.com/products","user_prompt":"Extract all products with name, price, and description"}}'
User: "Scrape the team page and get everyone's info"
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","body":{"website_url":"https://example.com/about/team","user_prompt":"Extract team members: name, role, bio, photo URL, LinkedIn"}}'
User: "What are Stripe's API pricing details?"
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
-H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
-H "Content-Type: application/json" \
-d '{"api":"olostep","path":"/v1/answers","body":{"task":"Find Stripe API pricing breakdown from stripe.com/pricing"}}'
User: "Get all blog post titles and dates from this blog"
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
-H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
-H "Content-Type: application/json" \
-d '{"api":"riveter","path":"/v1/scrape","body":{"url":"https://blog.example.com","schema":{"posts":[{"title":"string","date":"string","url":"string"}]}}}'
Error Handling
- 504 - Olostep timeout on slow pages — retry or try a simpler URL
- 400 - Missing required parameters (
url_to_scrapefor Olostep,website_url+user_promptfor Scrapegraph,urlfor Riveter) - Scrapegraph returns
errorfield in response body — check it even on 200 status - Riveter returns
request_status: "error"with details inmessage - Some sites block automated scraping — try a different API if one fails
Tips
- Scrapegraph is best for natural language extraction
- Riveter is best when you know the exact schema you want
- Olostep is great for general scraping and AI answers
- For dynamic sites (JavaScript-heavy), these tools handle rendering
- Be specific in your prompts for better extraction results
- Some sites may block automated access
Signals
- GitHub stars
- 1k
- Forks
- 211
- Last commit
- Oct 2026
Advanced
- Item type
- skill
- Key
extract-webpage-data- Source
- github.com/gooseworks-ai/goose-skills
github.com/gooseworks-ai/goose-skills
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