web-scraping-api-mcp

web-scraping-api-mcp

3.5

The new MCP server allows AI agents to integrate a web scraping API into autonomous workflows, simplifying data extraction tasks.

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🚀 We’ve just launched our new MCP server!

If you're building or using AI agents, you can now plug our web scraping API directly into your autonomous workflows. Just add the following to your MCP config:

{
  "mcpServers": {
    "web-scraping-api-by-instantapi-ai": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote",
        "https://web-scraping-api-by-instantapi-ai.help-052.workers.dev/sse",
        "--header",
        "Authorization:${AUTH_HEADER}"
      ],
      "env": {
        "AUTH_HEADER": "Bearer <YOUR_API_KEY>"
      }
    }
  }
}

🔐 Just replace <YOUR_API_KEY> with your API key from InstantAPI.ai. Sign up for your own API key here: https://web.instantapi.ai/#pricing-03-254921

Once connected, your AI agent can automatically invoke any of our scraping endpoints—/scrape, /links, /next, /search—to complete complex web data tasks, without needing any HTML selectors or manual logic.

🧠 Example real-world task from a user:

Go to https://www.domain.com.au/sale/bowral-nsw-2576/?bedrooms=1-any&bathrooms=1-any&excludeunderoffer=1&establishedtype=established&sort=dateupdated-desc
Extract each property link.
For each, get the full physical address and how many days since it was listed. If not known, assume 0 (today).
Keep paginating until no properties are listed in the last 7 days.
Return all matching addresses.

✅ The agent completed the task autonomously—scraping new leads for a mortgage broker with zero code written.

If you’re building AI workflows, this massively cuts down on glue code and edge case handling. Just give your agent a goal and let it fetch the data.