We have introduced AI-powered crawling in Spidra.
Until now, Spidra focused on no-code scraping. This lets you extract clean content from specific URLs, even on complex sites protected by CAPTCHA or heavy JavaScript.
Many users loved the simplicity, but one request kept coming up: “Can I crawl an entire website, not just individual pages?”
Now you can.
Why crawling?
In real workflows, you rarely know every URL you need upfront.
Whether you’re auditing a school website, analyzing competitor content, or building datasets for research, manually listing pages doesn’t scale. Crawling solves this by automatically discovering pages and extracting content at scale.
With AI-powered crawling, Spidra now handles both discovery and extraction in one flow.
How AI-powered crawling works in Spidra
Spidra’s crawler combines browser-level rendering with AI-driven page selection and transformation.
You simply provide:
- a website to crawl
- how many pages you want (20, 50, 100+)
- a natural-language instruction describing what content matters
Spidra then:
- discovers valid pages based on your instructions
- crawls each page using a real browser
- extracts only meaningful content
- transforms everything into clean, structured output
All of this happens inside the UI. No code required.
What’s included
AI-powered crawling in Spidra includes:
- Full-site page discovery: Automatically finds relevant pages instead of crawling blindly.
- Clean content extraction: Headers, body content, and core page sections without navigation or noise.
- Bulk results in the interface: View every crawled page directly in your dashboard.
- ZIP export with proper filenames: Download all extracted pages at once, ready for analysis or handoff.
- Crawl logs and retries: Inspect crawl behavior and retry individual pages if needed.
- Prompt-based refinement: Adjust instructions and rerun transformations without starting over.
Feel free to sign up and try crawling in the dashboard. You can also explore our pricing plans to increase crawl limits.
Book a call to share feedback or discuss your use case.
