mcpbeat

Extract Webpage Data

gooseworks-ai/extract-webpage-data

Extract structured data from web pages using AI

2k tokens
context cost
the whole folder, loaded on every use
2
files
instructions only
0
copies elsewhere
how many repositories repackaged it
1086
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/gooseworks-ai/goose-skills --skill extract-webpage-data

What comes with it

295 bytes besides the instruction
skill.meta.json

The instruction itself

22 sections, as written by the author

Extract Webpage Data

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_code of 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) - completed or pending
  • 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) - success or error
  • 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_scrape for Olostep, website_url + user_prompt for Scrapegraph, url for Riveter)
  • Scrapegraph returns error field in response body — check it even on 200 status
  • Riveter returns request_status: "error" with details in message
  • 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

How to use it

Copy the folder

Take gooseworks-ai/extract-webpage-data from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.

Install what it needs

The instructions reference npx. Without those the skill loads but fails at the first command.