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* 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>
87 lines
3.6 KiB
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87 lines
3.6 KiB
Plaintext
---
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title: Hyperbrowser Load Tool
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description: O `HyperbrowserLoadTool` permite realizar web scraping e crawling utilizando o Hyperbrowser.
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icon: globe
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mode: "wide"
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---
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# `HyperbrowserLoadTool`
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## Descrição
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O `HyperbrowserLoadTool` permite realizar web scraping e crawling utilizando o [Hyperbrowser](https://hyperbrowser.ai), uma plataforma para executar e escalar browsers headless. Essa ferramenta possibilita extrair dados de uma única página ou rastrear um site inteiro, retornando o conteúdo em markdown ou HTML corretamente formatado.
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Principais Características:
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- Escalabilidade Instantânea – Inicie centenas de sessões de browser em segundos sem se preocupar com infraestrutura
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- Integração Simples – Funciona perfeitamente com ferramentas populares como Puppeteer e Playwright
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- APIs Poderosas – APIs fáceis de usar para scraping/crawling de qualquer site
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- Supera Medidas Anti-Bot – Inclui modo stealth, bloqueio de anúncios, resolução automática de CAPTCHA e proxies rotativos
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## Instalação
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Para utilizar esta ferramenta, você precisa instalar o SDK do Hyperbrowser:
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```shell
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uv add hyperbrowser
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```
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## Passos para Começar
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Para usar efetivamente o `HyperbrowserLoadTool`, siga estes passos:
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1. **Cadastre-se**: Vá até o [Hyperbrowser](https://app.hyperbrowser.ai/) para criar uma conta e gerar uma chave de API.
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2. **Chave de API**: Defina a variável de ambiente `HYPERBROWSER_API_KEY` ou passe-a diretamente no construtor da ferramenta.
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3. **Instale o SDK**: Instale o SDK do Hyperbrowser usando o comando acima.
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## Exemplo
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O exemplo a seguir demonstra como inicializar a ferramenta e utilizá-la para extrair dados de um site:
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```python Code
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from crewai_tools import HyperbrowserLoadTool
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from crewai import Agent
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# Initialize the tool with your API key
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tool = HyperbrowserLoadTool(api_key="your_api_key") # Or use environment variable
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# Define an agent that uses the tool
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@agent
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def web_researcher(self) -> Agent:
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'''
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This agent uses the HyperbrowserLoadTool to scrape websites
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and extract information.
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'''
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return Agent(
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config=self.agents_config["web_researcher"],
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tools=[tool]
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)
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```
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## Parâmetros
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O `HyperbrowserLoadTool` aceita os seguintes parâmetros:
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### Parâmetros do Construtor
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- **api_key**: Opcional. Sua chave de API do Hyperbrowser. Se não fornecida, será lida da variável de ambiente `HYPERBROWSER_API_KEY`.
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### Parâmetros de Execução
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- **url**: Obrigatório. A URL do site a ser extraído ou rastreado.
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- **operation**: Opcional. A operação a ser realizada no site. Pode ser 'scrape' ou 'crawl'. O padrão é 'scrape'.
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- **params**: Opcional. Parâmetros adicionais para a operação de scraping ou crawling.
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## Parâmetros Suportados
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Para informações detalhadas sobre todos os parâmetros suportados, acesse:
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- [Parâmetros de Scrape](https://docs.hyperbrowser.ai/reference/sdks/python/scrape#start-scrape-job-and-wait)
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- [Parâmetros de Crawl](https://docs.hyperbrowser.ai/reference/sdks/python/crawl#start-crawl-job-and-wait)
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## Formato de Retorno
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A ferramenta retorna o conteúdo nos seguintes formatos:
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- Para operações **scrape**: O conteúdo da página no formato markdown ou HTML.
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- Para operações **crawl**: O conteúdo de cada página separado por divisores, incluindo a URL de cada página.
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## Conclusão
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O `HyperbrowserLoadTool` oferece uma maneira poderosa de realizar scraping e crawling em sites, lidando com cenários complexos como medidas anti-bot, CAPTCHAs e muito mais. Aproveitando a plataforma do Hyperbrowser, essa ferramenta permite que agentes acessem e extraiam conteúdo da web de forma eficiente. |