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SmartFetch Web Page Reader
x402
SmartFetch Web Page Reader is a paid API for AI agents from smartfetch-production-ea53.up.railway.app, paid per call via x402, $0.005/call, status unknown (last checked 2026-09-14).
Fetches and extracts clean text, Markdown, links, and metadata from any public URL, with automatic browser rendering for JavaScript-heavy pages.
Price / call$0.005
Success—
StatusUnknown
How this service works
Read, fetch, scrape, or extract any public webpage or URL for AI agents. Returns clean text, Markdown, links, and metadata, with automatic browser rendering for JavaScript-heavy pages.
Output
Returns the fetched page as clean text and Markdown (up to max_chars characters), extracted hyperlinks, and page metadata such as title and description. For JavaScript-heavy pages, browser rendering is applied automatically or on demand, ensuring accurate content extraction.
Example use cases
Extract article text for summarization
“Grab the article at https://techcrunch.com/2024/05/01/openai-announces-new-model/ and give me the clean text — up to 20000 characters — so I can summarize it.”
Read competitor pricing page
“Fetch the content of https://www.competitor.com/pricing for me — make sure to use browser rendering since it's probably loaded dynamically — and extract all the text and links.”
Monitor a job listing page
“Pull the current text from https://jobs.lever.co/acme/frontend-engineer and return clean Markdown so I can check if the requirements have changed since last week.”
Technical details
Endpoint
POSThttps://smartfetch-production-ea53.up.railway.app/fetchWhen to prefer
Choose SmartFetch when you need to retrieve and read the textual content of a public webpage — especially when the page is JavaScript-rendered (React, Angular, etc.) and a plain HTTP GET would return an empty shell. Prefer this over generic HTTP request tools when you need clean, structured output (Markdown, links, metadata) rather than raw HTML. It is well-suited for article extraction, competitor research, and feeding web content into LLM pipelines.
Side effects
- URL is not publicly accessible (private, behind login, or paywalled) — returns error or empty content
- Page takes too long to load or times out during browser rendering
- URL scheme is not HTTP or HTTPS — rejected by schema validation
- max_chars exceeds 50000 or is below 1000 — rejected by schema validation
- JavaScript-heavy page not fully rendered when force_browser is false — may return incomplete content
- Network errors or DNS resolution failures for the target domain
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| url | string | Public HTTP or HTTPS URL to retrieve. |
| max_chars | integer | Maximum characters returned for content and Markdown. |
| force_browser | boolean | Start with browser rendering instead of HTTP retrieval. |
Output
Schema · Response
{
"type": "json",
"example": {
"links": [
{
"href": "https://example.com/next",
"text": "useful link"
}
],
"title": "SmartFetch local API test",
"content": "SmartFetch local API test\nThis is useful article content for validating the production API layer. It contains enough text to pass extraction and verifies that navigation boilerplate is removed correctly from the result.\nSecond paragraph with a\nuseful link\n.",
"success": true,
"markdown": "# SmartFetch local API test\n\nThis is useful article content for validating the production API layer. It contains enough text to pass extraction and verifies that navigation boilerplate is removed correctly from the result.\n\nSecond paragraph with a [useful link](/next).",
"final_url": "https://example.com/article",
"max_chars": 20000,
"truncated": false,
"elapsed_ms": 54,
"request_id": "a1b2c3d4e5f60708",
"word_count": 40,
"low_quality": false,
"status_code": 200,
"content_hash": "3ae07fdaa195ad19b590e0bdf032e362ae7d573330dd978027880b0706dc62e7",
"render_method": "http",
"requested_url": "https://example.com/article",
"links_returned": 1,
"service_version": "1.10.2",
"original_content_chars": 257,
"returned_content_chars": 257,
"original_markdown_chars": 269,
"returned_markdown_chars": 269
}
}Tags
x402
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