firecrawl-crawl작성자: firecrawl

Bulk extract content from entire websites or site sections with depth and path filtering. Crawls pages following links up to configurable depth limits and page counts, with path inclusion/exclusion filters to scope extraction Supports async job polling or synchronous waiting with progress display via --wait and --progress flags Offers concurrency control, request delays, and JSON output formatting for integration into agent workflows Part of a four-step escalation pattern: search → scrape →...

npx skills add https://github.com/firecrawl/cli --skill firecrawl-crawl

firecrawl crawl

Bulk extract content from a website. Crawls pages following links up to a depth/limit.

When to use

  • You need content from many pages on a site (e.g., all /docs/)
  • You want to extract an entire site section
  • Step 4 in the workflow escalation pattern: search → scrape → map → crawl → interact

Quick start

# Crawl a docs section
firecrawl crawl "<url>" --include-paths /docs --limit 50 --wait -o .firecrawl/crawl.json

# Full crawl with depth limit
firecrawl crawl "<url>" --max-depth 3 --wait --progress -o .firecrawl/crawl.json

# Check status of a running crawl
firecrawl crawl <job-id>

Options

OptionDescription
--waitWait for crawl to complete before returning
--progressShow progress while waiting
--limit <n>Max pages to crawl
--max-depth <n>Max link depth to follow
--include-paths <paths>Only crawl URLs matching these paths
--exclude-paths <paths>Skip URLs matching these paths
--delay <ms>Delay between requests
--max-concurrency <n>Max parallel crawl workers
--prettyPretty print JSON output
-o, --output <path>Output file path

Tips

  • Always use --wait when you need the results immediately. Without it, crawl returns a job ID for async polling.
  • Use --include-paths to scope the crawl — don't crawl an entire site when you only need one section.
  • Crawl consumes credits per page. Check firecrawl credit-usage before large crawls.

See also

NotebookLM 웹 임포터

원클릭으로 웹 페이지와 YouTube 동영상을 NotebookLM에 가져오기. 200,000명 이상이 사용 중.

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