c1a1767034
- Add generate_block_docs.py script that introspects block code to
generate markdown
- Support manual content preservation via <!-- MANUAL: --> markers
- Add migrate_block_docs.py to preserve existing manual content from git
HEAD
- Add CI workflow (docs-block-sync.yml) to fail if docs drift from code
- Add Claude PR review workflow (docs-claude-review.yml) for doc changes
- Add manual LLM enhancement workflow (docs-enhance.yml)
- Add GitBook configuration (.gitbook.yaml, SUMMARY.md)
- Fix non-deterministic category ordering (categories is a set)
- Add comprehensive test suite (32 tests)
- Generate docs for 444 blocks with 66 preserved manual sections
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
<!-- Clearly explain the need for these changes: -->
### Changes 🏗️
<!-- Concisely describe all of the changes made in this pull request:
-->
### Checklist 📋
#### For code changes:
- [x] I have clearly listed my changes in the PR description
- [x] I have made a test plan
- [x] I have tested my changes according to the test plan:
<!-- Put your test plan here: -->
- [x] Extensively test code generation for the docs pages
<!-- CURSOR_SUMMARY -->
---
> [!NOTE]
> Introduces an automated documentation pipeline for blocks and
integrates it into CI.
>
> - Adds `scripts/generate_block_docs.py` (+ tests) to introspect blocks
and generate `docs/integrations/**`, preserving `<!-- MANUAL: -->`
sections
> - New CI workflows: **docs-block-sync** (fails if docs drift),
**docs-claude-review** (AI review for block/docs PRs), and
**docs-enhance** (optional LLM improvements)
> - Updates existing Claude workflows to use `CLAUDE_CODE_OAUTH_TOKEN`
instead of `ANTHROPIC_API_KEY`
> - Improves numerous block descriptions/typos and links across backend
blocks to standardize docs output
> - Commits initial generated docs including
`docs/integrations/README.md` and many provider/category pages
>
> <sup>Written by [Cursor
Bugbot](https://cursor.com/dashboard?tab=bugbot) for commit
631e53e0f6. This will update automatically
on new commits. Configure
[here](https://cursor.com/dashboard?tab=bugbot).</sup>
<!-- /CURSOR_SUMMARY -->
---------
Co-authored-by: Claude Opus 4.5 <noreply@anthropic.com>
1.8 KiB
Firecrawl Extract
Blocks for extracting structured data from web pages using Firecrawl's AI extraction.
Firecrawl Extract
What it is
Firecrawl crawls websites to extract comprehensive data while bypassing blockers.
How it works
This block uses Firecrawl's extraction API to pull structured data from web pages based on a prompt or schema. It crawls the specified URLs and uses AI to extract information matching your requirements.
Define the data structure you want using a JSON schema for precise extraction, or use natural language prompts for flexible extraction. Wildcards in URLs allow extracting data from multiple pages matching a pattern.
Inputs
| Input | Description | Type | Required |
|---|---|---|---|
| urls | The URLs to crawl - at least one is required. Wildcards are supported. (/*) | List[str] | Yes |
| prompt | The prompt to use for the crawl | str | No |
| output_schema | A Json Schema describing the output structure if more rigid structure is desired. | Dict[str, Any] | No |
| enable_web_search | When true, extraction can follow links outside the specified domain. | bool | No |
Outputs
| Output | Description | Type |
|---|---|---|
| error | Error message if the extraction failed | str |
| data | The result of the crawl | Dict[str, Any] |
Possible use case
Product Data Extraction: Extract structured product information (prices, specs, reviews) from e-commerce sites.
Contact Scraping: Pull business contact information from company websites in a structured format.
Data Pipeline Input: Automatically extract and structure web data for analysis or database population.