Web scraping in Cursor
Add the Spicrawl MCP server to Cursor. Its agent can then read web pages as clean Markdown.
Set it up
Three steps give Cursor’s agent the tools, the know-how to write Spicrawl code, and rules for using both. Or do all three with spicrawl init --client cursor.
Set your API key in the environment Cursor starts from:
bashexport SPICRAWL_API_KEY=spicrawl_live_... # add to your shell profile, then restart CursorOn macOS, apps started from the Dock do not see your shell profile. Start Cursor from a terminal with
cursor ..Add the server to
.cursor/mcp.json(or~/.cursor/mcp.jsonfor every project). Cursor fills in the key, so the file is safe to commit:.cursor/mcp.json{ "mcpServers": { "spicrawl": { "url": "https://mcp.spicrawl.com/mcp", "headers": { "Authorization": "Bearer ${env:SPICRAWL_API_KEY}" } } } }Install the skill:
bashspicrawl skill install --client cursor # Without the CLI: mkdir -p .cursor/skills/spicrawl curl -fsSL https://app.spicrawl.com/skill.md -o .cursor/skills/spicrawl/SKILL.mdSave this rule as
.cursor/rules/spicrawl.mdc. The agent reads it when a task involves web data. SetalwaysApply: trueto include it in every chat..cursor/rules/spicrawl.mdc--- description: Fetching, scraping or extracting data from web pages with Spicrawl alwaysApply: false --- # Web data (Spicrawl) Use Spicrawl to read web pages: the spicrawl_* MCP tools in chat, or POST https://api.spicrawl.com/v1/scrape with `Authorization: Bearer $SPICRAWL_API_KEY` in code. Docs: https://docs.spicrawl.com/llms.txt (append .md to any page URL for Markdown). - Ask for markdown: `response_format: "markdown"` (API default is html); on spicrawl_scrape, `format: "markdown"`. - Check the site's status, not only the HTTP status: `X-Target-Status` header, or `status` in the JSON envelope (spicrawl_scrape with `format: "json"`). 200 is the page; 404/410 mean it does not exist; 403/429/503 mean the site refused, so escalate. - On an error, switch on `code`. Retry only when `retryable` is true, after `retry_after_seconds`. Read `diagnostics.hint` and change what it names first. Never retry ERR::REQUEST::*, ERR::AUTH::* or ERR::LIMIT::QUOTA_EXCEEDED. - Escalate one step at a time and stop at the first that works: plain fetch (1 credit) -> `js_render: true` (3) -> add the user's own `proxy` if they have one. Empty or skeleton content means render; ERR::UPSTREAM::CHALLENGE or a 403 target status means retry once, then the user's own proxy. - Set `max_cost` on every request to the price of the step you intend. - Keep the cache on (default). Set `cache: false` only for prices, stock or other live data. - Trim tokens with `main_content_only` (on by default for markdown), `include_tags`, `exclude_tags`. - For more than 20 URLs, use a batch job (spicrawl_batch_submit / POST /v1/batch). Batch items return html, markdown or text (spicrawl_batch_submit defaults to markdown, POST /v1/batch to html). Extraction, screenshots, actions and sessions are refused with a 400 before anything is charged: scrape those URLs one by one. - Never print or commit SPICRAWL_API_KEY. Log `X-Request-Id` for failures.Open Cursor Settings → MCP. Check that
spicrawlis on and lists 25spicrawl_*tools.
A first task to try
Open the agent in Agent mode and ask:
Use Spicrawl to read https://example.com/pricing as markdown. List each plan with its monthly price.
If the page comes back empty, retry with rendering.The agent should call spicrawl_scrape with format: "markdown". It should add render: true only if the first result is empty.
Cloud agents
Cursor’s cloud agents run in a remote VM, so they cannot see your shell’s key. Add the server in the Cursor dashboard with the URL https://mcp.spicrawl.com/mcp and the header Authorization: Bearer plus your key. Do not commit the key. The skill and rule come from the repository.
What it can do
The server gives the agent 25 spicrawl_* tools. Each call runs under your API key, with the same limits and credits as a direct API call.
- Read one page:
spicrawl_scrapereturns Markdown (the default), text, HTML, JSON or PDF. - Read many pages:
spicrawl_batch_submitqueues up to 10,000 URLs. Follow it withspicrawl_batch_statusandspicrawl_batch_results. - Pages behind a login:
spicrawl_session_createkeeps cookies and storage across calls. - Debug a failure:
spicrawl_requests_listandspicrawl_request_get. - Check usage:
spicrawl_usage_summaryand the other usage tools. These need a key with thereadscope. - Look things up:
spicrawl_docs_searchandspicrawl_docs_readsearch and read the Spicrawl docs.
One tool, spicrawl_browser_connect_url, is listed but coming soon. On spicrawl_scrape, the rendering argument is render, not the API’s js_render.
Good to know
- No crawling. Spicrawl does not follow links or find pages. Give the agent the URLs.
- Credits per request. A plain fetch is 1 credit. JavaScript rendering is 3. Full-browser rendering is 8.
- Failures are free. A failed request costs 0 credits.
- The cache saves time, not credits. A cache hit costs the same as the fetch that stored it.
- Cap each call. Set
max_cost, and a request that could cost more is refused before it runs. - Coming soon: managed proxies, stealth mode, a remote browser and AI extraction from a plain-language prompt. Today you can bring your own proxy.
Frequently asked questions
Is it safe to commit .cursor/mcp.json?
Yes, if you use ${env:SPICRAWL_API_KEY} in the header. Cursor replaces it with the value from your environment, so the file holds no key.
Why does the server show a 401 error?
SPICRAWL_API_KEY was not set when Cursor started. On macOS, apps started from the Dock do not see your shell profile. Start Cursor from a terminal with cursor . instead.
Does it work with Cursor cloud agents?
Yes. Add the server in the Cursor dashboard with the URL and your Authorization header. Do not commit the key. The skill and rule are read from the repository.
The server is listed but has no tools. What now?
Toggle it off and on in Cursor Settings → MCP, then open a new chat.
How much does each page cost?
A plain fetch costs 1 credit, JavaScript rendering 3 and full-browser rendering 8. Failed requests cost 0. A cache hit costs the same as the fetch that stored it. Ask the agent to set max_cost on each request so it never spends more than you expect.