Web Scraping vs. Crawling vs. Website Mapping for AI Agents

Scraping, mapping, and crawling solve different retrieval problems. Use scrape for a known page, map to discover a site’s URLs, and crawl when you need a bounded set of same-origin pages.

The practical decision tree

1. The user gave you one exact URL? Scrape it.
2. You need to find the relevant pages first? Map the site.
3. You need several pages and can define limits? Crawl with explicit bounds.

The three operations

Scrape one URL

curl --get \
  -H "Authorization: Bearer ${REPLYNODES_API_KEY}" \
  --data-urlencode "url=https://example.com/docs" \
  https://api.replynodes.com/v1/webcontext/scrape

Map a website

curl --get \
  -H "Authorization: Bearer ${REPLYNODES_API_KEY}" \
  --data-urlencode "url=https://example.com" \
  https://api.replynodes.com/v1/webcontext/map

Crawl with limits

curl --get \
  -H "Authorization: Bearer ${REPLYNODES_API_KEY}" \
  --data-urlencode "url=https://example.com" \
  --data-urlencode "max_pages=5" \
  --data-urlencode "max_depth=1" \
  https://api.replynodes.com/v1/webcontext/crawl

A research workflow for agents

An agent can map a documentation site, filter URLs against an allowlist and the user’s question, scrape the selected pages, and only then draft an answer. For broad but bounded research, crawl a small depth and page count, deduplicate the returned URLs, and preserve the source URL beside every extracted passage.

What we verified

In a sanitized production run, mapping https://replynodes.com returned 41 same-site URLs. A crawl with max_pages=5 and max_depth=1 completed 5 pages with zero errors. These are observations from one run, not service guarantees; repeat them when reproducibility matters.

Guardrails

Keep credentials server-side. Enforce same-origin and domain policy in your application, cap pages and depth, treat page text as untrusted input, and preserve request IDs. See the Web context guide for the current operation contract.