Asynchronous site crawling

DeepCrawl API for turning websites into knowledge bases

Start a background crawl, track task status, and collect site content for RAG systems and agent memory workflows.

Endpoint
POST https://api.search1api.com/deepcrawl
What this API helps you get

Collect content across a larger website in the background so a product can build a knowledge base without blocking the user.

1
Whole-site content collection

Crawl docs, blogs, and help centers.

2
Background job progress

Track long jobs in the background.

3
Knowledge-base material

Pages ready for RAG and search.

Useful for

Docs KBs / Search indexes / AI workflows

Asynchronous crawling for larger sites

DeepCrawl starts a task and returns a task ID, so your application can poll status while the crawl runs. Use sitemap mode for controlled crawling or all mode for broader link discovery.

Quickly Turn Websites into Documents

Simply enter a link to quickly crawl all linked content within a site and save it locally.

Markdown Output

Output in clean Markdown file format, directly usable for LLM knowledge base retrieval.

Asynchronous Processing

Tasks run in the background, and you can check the status at any time.

Recursive Link Following

Freely choose between crawling based on a sitemap or crawling all linked content within the site.

What is DeepCrawl?

DeepCrawl is an asynchronous full-site crawling API that collects content from every page on a website in the background. Unlike a single-page crawl API that processes one URL at a time, DeepCrawl discovers all pages on a site, fetches their content, and returns it as a structured dataset. This makes it ideal for building RAG knowledge bases from documentation sites, help centers, or blogs, where you need the entire site corpus rather than individual pages. Deep crawling is the process of recursively following links to map and extract content from a whole website, not just the entry page.

Implementation path

Typical workflow

Start a background crawl, track task status, and collect site content for RAG systems and agent memory workflows.

1

Start a DeepCrawl task with a URL and discovery mode.

2

Store the returned task ID and poll the status endpoint.

3

Process completed results into a knowledge base or document store.

Best for

Quickly turn websites into documents with our powerful deep crawling capabilities

Building RAG knowledge bases from docs, help centers, and blogs.

Refreshing internal search indexes from a full website.

Packaging large site content without blocking a user request.

Building your own crawler and hitting anti-bot blocks?

If you run your own scraper and keep getting rate-limited or blocked by bot detection, route requests through our rotating residential proxies for fresh IPs and geo-targeting.

FAQ

Why is DeepCrawl asynchronous?

Full-site crawling can take longer than a normal request. DeepCrawl returns a task ID so the job can run in the background while your app checks status.

How many credits does DeepCrawl API use?

Starting a DeepCrawl task costs 20 credits.

What is DeepCrawl?

DeepCrawl is an asynchronous full-site crawling API that discovers all pages on a website, fetches their content, and returns it as a structured dataset. It is designed for building RAG knowledge bases, refreshing search indexes, and packaging large site content without blocking user requests.

What is deep crawling?

Deep crawling is the process of recursively following links to map and extract content from an entire website, not just the entry page. DeepCrawl automates this by starting a background task that discovers pages via sitemap or link traversal, fetches each page, and returns clean content for your knowledge base or RAG pipeline.

How is DeepCrawl different from Crawl API?

Crawl API processes one URL or a small batch of URLs synchronously and returns clean content immediately. DeepCrawl crawls an entire website asynchronously in the background, discovering all pages and returning a full site corpus. Use Crawl for individual pages; use DeepCrawl when you need the whole site.