scraperis_scraper

Extract website data using natural language prompts. Specify the URL and desired content (e.g., 'Get top 10 products from producthunt.com') to retrieve structured data.

Instructions

Extract data from websites using natural language prompts. The prompt should include the website URL and what data you want to extract. For example: 'Get me the top 10 products from producthunt.com' or 'Extract all article titles and authors from techcrunch.com/news'

Input Schema

Name	Required	Description	Default
`parse`	No	Should result be parsed. If result should not be parsed then html will be stripped and converted to markdown file
`prompt`	Yes	Natural language prompt describing what to extract and from where. For example: 'Get me the top 10 products from producthunt.com' or 'Find all articles about AI from techcrunch.com'

Input Schema (JSON Schema)

{
  "properties": {
    "parse": {
      "anyOf": [
        {
          "type": "boolean"
        },
        {
          "type": "null"
        }
      ],
      "default": null,
      "description": "Should result be parsed. If result should not be parsed then html will be stripped and converted to markdown file",
      "title": "Parse"
    },
    "prompt": {
      "description": "Natural language prompt describing what to extract and from where. For example: 'Get me the top 10 products from producthunt.com' or 'Find all articles about AI from techcrunch.com'",
      "title": "Prompt",
      "type": "string"
    }
  },
  "required": [
    "prompt"
  ],
  "title": "scrape_urlArguments",
  "type": "object"
}

Scraper.is MCP Server

scraperis_scraper

Instructions

Input Schema

Input Schema (JSON Schema)

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