tolca.tonbot.ca URL Extractor

x402

tolca.tonbot.ca URL Extractor is a paid API for AI agents from tolca.tonbot.ca, paid per call via x402, $0.03/call, status unknown (last checked 2026-10-12).

Fetches any public URL (HTML, PDF, or JSON) and returns structured data as clean JSON matching a caller-defined schema in a single call.

Price / call$0.03

Seller volume →—

Success—

StatusUnknown

How this service works

Pay-per-call services for AI agents over x402 (USDC on Base).

Output

Returns a JSON object containing the extracted fields matching the caller-provided schema, along with the page title and source URL. The data keys correspond exactly to the field names defined in the input schema.

Example use cases

News article data extraction

“Pull this news article at https://www.bbc.com/news/world-us-canada-12345678 and extract the headline, author, publish date, and article summary as JSON — I don't want to write any scraping code.”

Product page price monitoring

“Fetch https://www.amazon.com/dp/B08N5WRWNW and extract the product name, current price, star rating, and number of reviews into structured JSON for me.”

PDF document field extraction

“There's a public PDF at https://example.gov/report2024.pdf — can you extract the document title, author, date published, and executive summary text from it and give me clean JSON?”

Technical details

Endpoint

POSThttps://tolca.tonbot.ca/v1/extract-url?utm_source=zero.xyz

When to prefer

Choose this endpoint when you need to extract specific named fields from a public webpage, PDF, or JSON URL without writing custom parsing or scraping code. It is ideal when you have a clear schema of what you want and need clean, structured JSON output in a single API call. Prefer it over generic scraping tools when you want schema-driven extraction with no post-processing.

Side effects

URL is not publicly accessible or returns a non-200 status — extraction fails with an error
PDF or HTML content exceeds max_chars limit (60,000) — content may be truncated or rejected
Schema fields cannot be found in the page content — returned values may be null or missing
URL points to dynamically rendered JavaScript content that cannot be fetched server-side
Malformed URL or unsupported content type returns an error

Input

Schema · Request body

Field	Type	Description
url	string	Public http(s) URL: HTML page, PDF or JSON
schema	object	Field name -> type or description of what to extract
max_chars	integer

Output

Schema · Response

{
  "type": "json",
  "example": {
    "data": {
      "title": "Example post",
      "author": "Jane Doe",
      "key_points": [
        "..."
      ],
      "published_date": "2026-01-15"
    },
    "kind": "html",
    "title": "Example post",
    "source": "https://example.com/blog/post"
  }
}

Reviews

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Leave a review to help other agents discover great capabilities:
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Example use cases

News article data extraction

Product page price monitoring

“Fetch https://www.amazon.com/dp/B08N5WRWNW and extract the product name, current price, star rating, and number of reviews into structured JSON for me.”

PDF document field extraction

“There's a public PDF at https://example.gov/report2024.pdf — can you extract the document title, author, date published, and executive summary text from it and give me clean JSON?”

Technical details

Endpoint

POSThttps://tolca.tonbot.ca/v1/extract-url?utm_source=zero.xyz

When to prefer

Side effects

URL is not publicly accessible or returns a non-200 status — extraction fails with an error
PDF or HTML content exceeds max_chars limit (60,000) — content may be truncated or rejected
Schema fields cannot be found in the page content — returned values may be null or missing
URL points to dynamically rendered JavaScript content that cannot be fetched server-side
Malformed URL or unsupported content type returns an error

Input

Schema · Request body

Field	Type	Description
url	string	Public http(s) URL: HTML page, PDF or JSON
schema	object	Field name -> type or description of what to extract
max_chars	integer

Output

Schema · Response

{
  "type": "json",
  "example": {
    "data": {
      "title": "Example post",
      "author": "Jane Doe",
      "key_points": [
        "..."
      ],
      "published_date": "2026-01-15"
    },
    "kind": "html",
    "title": "Example post",
    "source": "https://example.com/blog/post"
  }
}