nimble map — reference

Discovers all URLs on a site in seconds. Returns URL metadata (url, title, description) — run extract on results to get page content. Single synchronous call — no polling required.

Table of Contents

• Parameters
• CLI
• Python SDK
• Response
• Common patterns
• Map vs Crawl

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Parameters

Parameter	CLI flag	Type	Default	Description
url	--url	string	required	Starting URL
limit	--limit	int	100	Max URLs returned (1–100,000)
sitemap	--sitemap	string	include	include (sitemap + crawl) | only (sitemap only, fastest) | skip (crawl only)
domain_filter	--domain-filter	string	—	domain (exact) | subdomain (include subdomains) | all (follow all links)
country	--country	string	ALL	ISO Alpha-2 proxy location (e.g. US)
locale	--locale	string	—	LCID locale (e.g. en-US) or auto

CLI

nimble map --url "https://docs.example.com" --limit 100

# Sitemap only (fastest)
nimble map --url "https://example.com" --sitemap only --limit 500

# Extract just the URL list
nimble --transform "links.#.url" map --url "https://docs.example.com" --limit 100

Python SDK

from nimble_python import Nimble
nimble = Nimble(api_key=os.environ["NIMBLE_API_KEY"])

resp = nimble.map(url="https://docs.example.com", limit=100, sitemap="include")
links = resp.links  # list of link objects
urls = [l.url for l in links]

Response

Field	Type	Description
task_id	string	Request identifier
success	boolean	Whether the request succeeded
links	array	Discovered URLs
links[].url	string	The discovered URL
links[].title	string	Page title (if available)
links[].description	string	Page meta description (if available)

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Common patterns

# Map → filter → extract
nimble --transform "links.#.url" map --url "https://docs.stripe.com" --limit 200 > .nimble/urls.txt
grep "charges\|refund" .nimble/urls.txt

# Specific path section
nimble map --url "https://shop.example.com/products/" --limit 200

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Map vs Crawl

	map	crawl
Speed	Seconds (sync)	Minutes (async)
Output	URL list with metadata	Full page content per URL
Best for	Discover URLs, then selectively extract	Archive all pages at once
LLM use	✅ Combine with extract --format markdown	⚠️ Returns raw HTML