aipotheosis-labs / aipotheosis-labs/aci

Integration Request: ScrapeUnblocker (web scraping / anti-bot unblocker)

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integration request
主要言語
Python
スター
4.9k
フォーク
484
PR マージ指標
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説明

### Required Pre-requisites

- [x] I have read the [Documentation](https://www.aci.dev/docs)
- [x] I have searched the [Issue Tracker](https://github.com/aipotheosis-labs/aci/issues)
- [x] I have searched the [apps directory](https://github.com/aipotheosis-labs/aci/tree/main/backend/apps) to see if this integration already exists

### App Name

ScrapeUnblocker

### Function Name

scrape_website, search_google

### API Docs Link

https://developers.scrapeunblocker.com

### Additional Context

ScrapeUnblocker is a web scraping / anti-bot unblocking API (Cloudflare, DataDome, PerimeterX, Akamai). It renders pages behind anti-bot protections and returns HTML or AI-parsed JSON, plus a Google SERP endpoint. This is the same integration category you already ship for firecrawl, brightdata, scrapfly, scrapingbee, etc.

The integration code is already fully prepared:
- scrape_website (POST /getPageSource) - returns page HTML or parsed JSON
- search_google - Google SERP results
Both use header auth (X-ScrapeUnblocker-Key), following your existing apps/ structure. Branch (GitHub shows "Able to merge"): https://github.com/ScrapeUnblocker/aci/tree/scrapeunblocker-integration

We could not open a PR directly because the repo restricts PRs to collaborators only. Could you either pull this branch in, or grant collaborator access so we can open the PR ourselves? Happy to adjust to any conventions you prefer. Thanks!

コントリビューションガイド

コントリビューションガイドを開く

調査の方向性

Review the existing integration branch and compare it with the repository's backend/apps/ structure and existing scraping integrations. Check the scrape_website and search_google entry points against the ScrapeUnblocker API documentation, then verify that both functions use the expected header authentication and endpoints before determining whether the integration is ready to include.

索引モデルが issue の本文から書いたものです。

評価

技術スタック
python
領域
api, backend
issue の種類
機能追加
難易度
2/5
見積もり時間
1〜3時間
活発さ
停滞
明瞭さ
明確に書かれている
初心者へのやさしさ
35/100

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