Files
crewAI/docs/edge/en/tools/web-scraping/serperscrapewebsitetool.mdx
Lucas Gomide a237ebabba feat: adopt directory-based docs versioning with Edge channel (#6202)
* feat: adopt directory-based docs versioning with Edge channel

Switch docs.crewai.com from navigation-only versioning (every version
selector entry rendered the same docs/<lang>/* source files) to
Mintlify's directory-based versioning so each version selector entry
renders its own snapshot. Add an "Edge" channel under docs/edge/<lang>/*
that always reflects main HEAD for unreleased work, eliminating
pre-release leakage onto frozen release labels. External links to
canonical /<lang>/* URLs are preserved via wildcard redirects that
always land on the current default version.

Layout:
- docs/edge/<lang>/*         rolling source (you edit here)
- docs/edge/enterprise-api.*.yaml
- docs/v<X.Y.Z>/<lang>/*     frozen, immutable snapshots
- docs/v<X.Y.Z>/enterprise-api.*.yaml
- docs/images/               shared, append-only
- docs/docs.json             nav + redirects

URLs follow the Mintlify-idiomatic shape: /edge/<lang>/<page> for
Edge, /v<X.Y.Z>/<lang>/<page> for every frozen snapshot. The wildcard
redirects /<lang>/:slug* -> /<default>/<lang>/:slug* keep stale links
working, and every freeze rewrites them (plus all per-section/per-page
redirects) so destinations always resolve to the current default
without depending on a second redirect hop.

Release flow integration (devtools release):
- New module crewai_devtools.docs_versioning.freeze() materialises
  docs/v<X.Y.Z>/ from docs/edge/, rewrites openapi: refs inside the
  snapshot, inserts the version into every language block in
  docs.json, and refreshes all redirect destinations.
- _update_docs_and_create_pr() in cli.py now calls that freeze during
  Phase 2 of devtools release. Edge changelogs are updated first (so
  the snapshot freeze picks them up), then the snapshot is staged
  alongside docs.json, branched as docs/freeze-v<X.Y.Z>, and the PR
  is titled [docs-freeze] docs: snapshot and changelog for v<X.Y.Z>
  — the title prefix the new CI guard reads.
- The PR still gates tag, GitHub release, PyPI publish, and the
  enterprise release as before; no new PRs are added.
- Pre-releases (1.X.YaN, 1.X.YbN, ...) skip the snapshot — they ride
  Edge — and the docs PR title omits the [docs-freeze] prefix.
- docs_check (AI-generated docs scaffolding) writes to
  docs/edge/<lang>/* so newly-generated unreleased docs land in Edge
  and never accidentally touch a frozen snapshot.

Migration scripts (one-shot):
- scripts/docs/freeze_historical_versions.py reconstructs all 16
  historical snapshots (v1.10.0 .. v1.14.7) from git tags via
  git archive | tar, rewriting openapi: MDX refs so each snapshot
  reads its own enterprise-api YAML rather than the live one.
- scripts/docs/prefix_version_paths.py one-shot-migrates docs.json:
  rewrites every page path in 16 versioned blocks to point under
  docs/v<X.Y.Z>/, inserts a new Edge entry per language, tags
  v1.14.7 as Latest (default), prunes pages whose target file
  doesn't exist in the snapshot (e.g. docs/ar/ didn't exist before
  v1.12.0), and writes the wildcard + per-section redirects.
- scripts/docs/freeze_current_edge.py is now a thin CLI wrapper
  around docs_versioning.freeze for manual one-off freezes (e.g.
  retroactively snapshotting a forgotten release).

CI guards (.github/workflows/docs-snapshots.yml):
- Frozen snapshots under docs/v[0-9]*/ are immutable; only PRs whose
  title contains [docs-freeze] (i.e. release-cut PRs generated by
  devtools release or the manual wrapper) may modify them.
- Images under docs/images/ are append-only since snapshots share a
  single image directory. Deleting or renaming an image breaks every
  historical snapshot that still references it.

Restored docs/images/crewai-otel-export.png from PR #3673; it was
deleted in PR #4908 but v1.10.0 / v1.10.1 snapshots still reference
it. Restoring instead of editing the snapshots preserves historical
rendering fidelity and validates the new append-only rule
retroactively.

Tests:
- lib/devtools/tests/test_docs_versioning.py covers the freeze: file
  copy, openapi rewrite, version insertion, default demotion, redirect
  upserts, per-section redirect rewriting, idempotency, and invalid
  inputs.

Verified locally with mintlify broken-links: 0 broken links across
the full site (Edge + 16 frozen versions, 4 locales).

AGENTS.md (repo root) is the contributor guide for the new model;
RELEASING.md is the release-cut runbook; README's Contribution
section links to both.

Co-authored-by: Cursor <cursoragent@cursor.com>

* style: resolve linter issues

---------

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-06-17 11:56:59 -04:00

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3.4 KiB
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---
title: Serper Scrape Website
description: The `SerperScrapeWebsiteTool` is designed to scrape websites and extract clean, readable content using Serper's scraping API.
icon: globe
mode: "wide"
---
# `SerperScrapeWebsiteTool`
## Description
This tool is designed to scrape website content and extract clean, readable text from any website URL. It utilizes the [serper.dev](https://serper.dev) scraping API to fetch and process web pages, optionally including markdown formatting for better structure and readability.
## Installation
To effectively use the `SerperScrapeWebsiteTool`, follow these steps:
1. **Package Installation**: Confirm that the `crewai[tools]` package is installed in your Python environment.
2. **API Key Acquisition**: Acquire a `serper.dev` API key by registering for an account at `serper.dev`.
3. **Environment Configuration**: Store your obtained API key in an environment variable named `SERPER_API_KEY` to facilitate its use by the tool.
To incorporate this tool into your project, follow the installation instructions below:
```shell
pip install 'crewai[tools]'
```
## Example
The following example demonstrates how to initialize the tool and scrape a website:
```python Code
from crewai_tools import SerperScrapeWebsiteTool
# Initialize the tool for website scraping capabilities
tool = SerperScrapeWebsiteTool()
# Scrape a website with markdown formatting
result = tool.run(url="https://example.com", include_markdown=True)
```
## Arguments
The `SerperScrapeWebsiteTool` accepts the following arguments:
- **url**: Required. The URL of the website to scrape.
- **include_markdown**: Optional. Whether to include markdown formatting in the scraped content. Defaults to `True`.
## Example with Parameters
Here is an example demonstrating how to use the tool with different parameters:
```python Code
from crewai_tools import SerperScrapeWebsiteTool
tool = SerperScrapeWebsiteTool()
# Scrape with markdown formatting (default)
markdown_result = tool.run(
url="https://docs.crewai.com",
include_markdown=True
)
# Scrape without markdown formatting for plain text
plain_result = tool.run(
url="https://docs.crewai.com",
include_markdown=False
)
print("Markdown formatted content:")
print(markdown_result)
print("\nPlain text content:")
print(plain_result)
```
## Use Cases
The `SerperScrapeWebsiteTool` is particularly useful for:
- **Content Analysis**: Extract and analyze website content for research purposes
- **Data Collection**: Gather structured information from web pages
- **Documentation Processing**: Convert web-based documentation into readable formats
- **Competitive Analysis**: Scrape competitor websites for market research
- **Content Migration**: Extract content from existing websites for migration purposes
## Error Handling
The tool includes comprehensive error handling for:
- **Network Issues**: Handles connection timeouts and network errors gracefully
- **API Errors**: Provides detailed error messages for API-related issues
- **Invalid URLs**: Validates and reports issues with malformed URLs
- **Authentication**: Clear error messages for missing or invalid API keys
## Security Considerations
- Always store your `SERPER_API_KEY` in environment variables, never hardcode it in your source code
- Be mindful of rate limits imposed by the Serper API
- Respect robots.txt and website terms of service when scraping content
- Consider implementing delays between requests for large-scale scraping operations