MCP web extraction for AI agents
Connect an MCP-compatible agent with the extract tool, using lightweight fetching or API-key browser mode.
Practical notes for developers building integrations with public web data. Examples use synthetic targets and the current ExtractAPI response contract; verify target permissions and provider terms before recurring access.
Connect an MCP-compatible agent with the extract tool, using lightweight fetching or API-key browser mode.
Compare raw HTTP with browser rendering and use javascript, waitFor, and selector safely.
Keep extraction, comparison, storage, scheduling, and alerts as distinct responsibilities in your application.
Inspect the initial response, identify client-rendered content, and choose a bounded extraction path without promising universal access.
Parse multiple schema.org blocks safely and use ExtractAPI's data.structuredData response field.
Respect site rules, throttle requests, cache observations, handle 403 and 429 responses, and know when to stop.
Normalize links from authorized public career pages and store freshness, source, and deduplication state yourself.
Compare credits, rendering, proxies, concurrency, retries, and usage-based charges using one denominator.
Compare output shape, rendering controls, pricing models, and operational scope using current official source links.