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crw-extract

Extract a typed JSON object from one or more web pages against a JSON Schema with fastCRW. Use when you need structured data — "get the price and stock status", "extract all job listings as JSON", "pull structured fields from this page". Step 6 of the crw workflow ladder.

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fastcrw/crw
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2026년 9월 24일 10:37
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SKILL.md
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name
crw-extract
description
Extract a typed JSON object from one or more web pages against a JSON Schema with fastCRW. Use when you need structured data — "get the price and stock status", "extract all job listings as JSON", "pull structured fields from this page". Step 6 of the crw workflow ladder.
license
AGPL-3.0
metadata
{"author":"us","version":"0.3.0","homepage":"https://fastcrw.com","repository":"https://github.com/fastcrw/crw"}
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Bash(crw:*) Bash(curl:*) Read
# crw-extract — typed JSON from pages ## When to use - You need a **structured JSON object** from a page, not prose. - Step 6 in the [crw ladder](../crw/SKILL.md). First scrape succeeds (step 2), but you need machine-readable fields. If the source is a local PDF, use [crw-parse](../crw-parse/SKILL.md) (step 5) with `formats:["json"]` instead. - Schema-driven = deterministic output shape. No schema = exploratory; use a `prompt` to describe what you want. ## How extraction works in crw **crw has no `/v1/extract` endpoint** (Firecrawl's dedicated extract API). Instead, extraction runs in two ways, both backed by the same LLM pipeline: | Path | When to use | Sync? | |------|------------|-------| | Per-page: `formats:["json"]` + `jsonSchema` on scrape | Single URL, or inline during a crawl | Synchronous | | Async multi-URL: `POST /v2/extract` → poll `GET /v2/extract/{id}` | Many URLs, fire-and-forget | Async | `/v2/extract` is marked deprecated in the server (it recommends `/v2/scrape` with `formats:["json"]`), but it works and is useful for multi-URL batches. **Requires a server-side LLM.** Set `[extraction.llm]` in the server config (provider, api_key, model). Without it, requests return an error (HTTP 4xx) — e.g. 422 "no LLM configured". Use `crw setup` to configure the LLM for the CLI. ## Quick start **CLI** — per-page extraction via `--extract`: ```bash # Inline schema crw scrape "https://example.com/product" \ --extract '{"type":"object","properties":{"price":{"type":"number"},"inStock":{"type":"boolean"}}}' # Schema from file crw scrape "https://example.com/job" --extract @schema.json -o result.json ``` **MCP** — pass `formats:["json"]` with `jsonSchema` on a scrape: ``` crw_scrape( url="https://example.com/product", formats=["json"], extract={"schema": {"type":"object","properties":{"price":{"type":"number"}}}} ) ``` Note: the MCP `crw_scrape` accepts `extract.schema` (Firecrawl style). The REST API also accepts `jsonSchema` as a top-level alias. **REST** — per-page (synchronous): ```bash curl -X POST "$CRW_API_URL/v1/scrape" \ -H "Authorization: Bearer $CRW_API_KEY" \ -H "Content-Type: application/json" \ -d '{ "url": "https://example.com/product", "formats": ["json"], "jsonSchema": { "type": "object", "properties": { "price": {"type": "number"}, "inStock": {"type": "boolean"} } } }' ``` **REST** — async multi-URL (deprecated endpoint, still functional): ```bash # Start job curl -X POST "$CRW_API_URL/v2/extract" \ -H "Authorization: Bearer $CRW_API_KEY" \ -H "Content-Type: application/json" \ -d '{ "urls": ["https://example.com/p1", "https://example.com/p2"], "schema": {"type":"object","properties":{"price":{"type":"number"}}} }' # → {"success":true,"id":"<uuid>","warnings":["...use /v2/scrape..."], ...} # Poll until completed curl "$CRW_API_URL/v2/extract/<uuid>" -H "Authorization: Bearer $CRW_API_KEY" # → {"success":true,"status":"completed|scraping|failed","data":{...}} ``` ## Options | Need | CLI | MCP / REST | |------|-----|------------| | JSON schema | `--extract '<schema>'` or `@file.json` | `jsonSchema` / `extract.schema` | | Free-text prompt (no schema) | — | `prompt` on `/v2/extract` | | Save output | `-o FILE` | write the response yourself | | Multi-URL async | not available | `POST /v2/extract` with `urls:[...]` | | LLM override | `--llm-provider`, `--llm-key`, `--llm-model` | server config only | ## Tips - **Schema = deterministic, prompt = exploratory.** A schema pins the output shape; a free-text `prompt` is useful for exploration but less reliable. Start with a schema when you know the fields you want. - **Don't over-specify.** Narrow schemas ("give me exactly these three fields") extract more reliably than wide ones with fifty optional fields. - **Crawl + extract in one pass.** `crw_crawl` accepts a `jsonSchema` parameter — each page in the crawl gets extracted against the schema, saving a second round-trip. - **Check `data.json` in the scrape response.** Per-page extraction lands in `data.json`, not `data.markdown`. The `markdown` field is also populated for reference. ## See also - [crw-scrape](../crw-scrape/SKILL.md) — scrape a page without schema extraction - [crw-parse](../crw-parse/SKILL.md) — extract structured data from a local PDF - [crw-best-practices](../crw-best-practices/SKILL.md) — SDK usage patterns - [crw](../crw/SKILL.md) — ladder overview
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