Save yourself the work of writing custom integrations for Browserless and Spydra and use n8n instead. Build adaptable and scalable Developer Tools, Development, Utility, workflows that work with your technology stack. All within a building experience you will love.

In n8n, click the "Add workflow" button in the Workflows tab to create a new workflow. Add the starting point – a trigger on when your workflow should run: an app event, a schedule, a webhook call, another workflow, an AI chat, or a manual trigger. Sometimes, the HTTP Request node might already serve as your starting point.
Crawl
Crawl a website and extract content from every page
Download
Download a file triggered by browser automation
Export
Fetch a URL and stream it in its native content type
Map URLs
Discover URLs on a site or within its sitemap
Generate a PDF document from a web page
Performance Audit
Run Lighthouse audits for performance, SEO, and accessibility
Run Function
Execute custom JavaScript/Puppeteer code server-side
Screenshot
Capture a screenshot of a page as PNG, JPEG, or WebP
Search
Search the web and return results
Smart Scrape
Scrape a page with automatic fallbacks for blocked or JS-heavy sites
Create organization
Creates a new organization.
Edit organization details
Edits the details of an existing organization.
Delete organization
Deletes an existing organization.
Create a network
Creates a new network.
Delete network
Deletes an existing network.
Deploy app
Deploys a new application.
Create channel
Creates a new channel.
Remove channel
Removes an existing channel.
Create node
Creates a new node.
Delete node
Deletes an existing node.
Create oracle
Creates a new oracle.
To set up Spydra integration, add the HTTP Request node to your workflow canvas and authenticate it using a generic authentication method. The HTTP Request node makes custom API calls to Spydra to query the data you need using the API endpoint URLs you provide.
See the example hereThese API endpoints were generated using n8n
n8n AI workflow transforms web scraping into an intelligent, AI-powered knowledge extraction system that uses vector embeddings to semantically analyze, chunk, store, and retrieve the most relevant API documentation from web pages. Remember to check the Spydra official documentation to get a full list of all API endpoints and verify the scraped ones!
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