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Reference for nimble map command. Load when discovering URLs on a site before bulk extraction. Contains: all flags (limit 1-100000, sitemap include/only/skip, domain_filter), response structure {links[].url/title/description}, map→filter→extract pattern, map vs crawl comparison.
Basé sur la classification professionnelle SOC
Builds Databricks data products from live web data, end to end: discovers the right Nimble web-data agents, scrapes into Delta tables, and produces an AI/BI dashboard and/or a deployed Databricks App — a table → dashboard → app workflow, for production data products or quick demos. Use whenever a request pairs live or scraped web data WITH a Databricks destination — e.g. "scrape Amazon/Walmart prices into a Delta table and build a dashboard", "load Zillow/Instagram/Maps/search results into Databricks and build a dashboard or app", "showcase Nimble + Databricks to a prospect". Prefer it over nimble-web-expert or competitor-intel when the data lands in Databricks. Do NOT use for one-off web fetches or CSV exports with no Databricks destination — use nimble-web-expert instead. Do NOT use for competitor or company research briefings — use competitor-intel or company-deep-dive instead. Do NOT use for generic Databricks work with no Nimble/web-data angle — use the official databricks-* skills instead.
Use this skill ANY TIME the user asks about a specific company. Triggers: "tell me about [company]", "research [company]", "what does [company] do", "who is [company]", "look up [company]", "company deep dive", "due diligence on [company]", "background on [company]", "dig into [company]", "analyze [company]", or evaluating a company for investment, partnership, or sales. MUST be used instead of answering from memory — fetches real-time web data (funding, leadership changes, product launches, news) your training data lacks. Use even for well-known companies. Produces a sourced 360° report covering funding, leadership, product/tech, market position, news, and strategic outlook with dates and URLs. Do NOT use for multi-company competitor monitoring (use competitor-intel) or meeting prep with attendees (use meeting-prep).
Searches the live web via Nimble APIs to monitor competitors and produce a structured intelligence briefing. Runs parallel searches for news, product launches, hiring signals, and funding — then compares against previous findings to highlight only what's new. Use this skill when the user asks about competitors, competitive intelligence, or what rival companies are doing. Common triggers: "what are my competitors doing", "competitor update", "competitor news", "competitive landscape", "market intel", "what's new with [company]", "track [company]", "competitor briefing", "who's making moves", "competitive analysis", "losing deals to [company]", "battlecard". Also use before board meetings or strategy sessions when the user wants competitive context. Requires the Nimble CLI (nimble search, nimble extract) for live web data. Do NOT use for single-company deep dives (use company-deep-dive), meeting prep with attendees (use meeting-prep), or non-business queries.
Discovers all businesses of a given type in any geography using Nimble WSAs. Two modes: Discovery finds businesses from scratch; Audit compares a user's existing list (Google Sheet, CSV, inline) against fresh discovery, categorizing entries as matched, discovered-only, or reference-only. Vertical presets (Healthcare, SaaS, Restaurants, Legal, Auto/Home) auto-select WSA routing. Triggers: "find all X in Y", "build a list of", "market sizing", "account universe", "how many X in Y", "TAM for", "discover all", "audit my list", "compare against", "what am I missing", "gap analysis", "verify my business list", "prospect list". Do NOT use for competitor monitoring — use competitor-intel instead. Do NOT use for company deep dives — use company-deep-dive instead. Do NOT use for neighborhood-level exploration with social enrichment — use local-places instead.
Fills gaps in existing healthcare practitioner lists — adds missing phone numbers, credentials, specialties, contact info, education, reviews, and regulatory data. Triggers: "enrich my provider list", "fill in missing data", "add phone numbers to these doctors", "complete this practitioner database", "enrich CRM export", "fill gaps in my provider data", "supplement this healthcare list". Accepts CSV, Google Sheet URL, or pasted data. Searches for each provider's practice website, extracts missing fields, and enriches with reviews, clinical trials, and accreditation via WSAs. Do NOT use for extracting providers from practice URLs — use healthcare-providers-extract instead. Do NOT use for validating credentials — use healthcare-providers-verify instead. Do NOT use for discovering practices — use market-finder or local-places instead. Do NOT use for general extraction — use nimble-web-expert instead.
Extracts structured practitioner data from healthcare practice websites. Returns names, credentials, specialties, contact info, and education for every provider on a practice's site. Use when user asks to extract, pull, or list doctors, providers, or staff from practice websites. Triggers: "extract doctors from", "pull providers from", "who are the providers at", "build a provider database", "list all doctors at", "scrape the team page", "get practitioner data from". Accepts practice URLs (pasted, CSV, Google Sheet) or discovers practices via Google Maps when given specialty + location. Single sites or 100+ URLs. Do NOT use for filling data gaps — use healthcare-providers-enrich instead. Do NOT use for credential validation — use healthcare-providers-verify instead. Do NOT use for discovering practices — use market-finder or local-places instead. Do NOT use for general extraction — use nimble-web-expert instead.
| name | nimble-map-reference |
| description | Reference for nimble map command. Load when discovering URLs on a site before bulk extraction. Contains: all flags (limit 1-100000, sitemap include/only/skip, domain_filter), response structure {links[].url/title/description}, map→filter→extract pattern, map vs crawl comparison. |
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.
| 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 |
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
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]
| 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) |
# 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
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 |