Bright DataをChatGPT、Claude、Geminiに接続

• 01 / 03プロキシインフラの管理方法
• 02 / 03検索エンジン結果のスクレイピング方法
• 03 / 03データ収集を自動化する方法

最速日

744ms

最遅日

1179ms

14日間の傾向

安定+3%

Bright Data Connector

準備完了です。MCPクライアントを選択し、セットアップ手順に従ってください。

コネクタリンクhttps://edge.vinkius.com/vk_preview_Z06xKXBLbhmRgabDfSd6BBkkFtoyph9gsiWpikY1/mcpコピー

Claude Desktop

以下の手順で数秒で接続できます。

1. 1In Claude Desktop, open Settings → Connectors.
2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
3. 3Click Add and start a new chat — Bright Data capabilities are ready to use.

設定 · claude_desktop_config.jsonコピー

{
  "mcpServers": {
    "bright-data-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_Z06xKXBLbhmRgabDfSd6BBkkFtoyph9gsiWpikY1/mcp"
    }
  }
}

• Claude
• ChatGPT
• Cursor
• VS Code
• Windsurf
• Claude Code
• JetBrains
• Cline

各クライアントの手順ガイドはこちらです。 接続方法

Claude向けのガイド付きセットアップ？ Bright DataをClaudeや他のAIに設定する

このConnectorが対応するすべてのAIクライアントを見る ↑

• 01

  データサイエンティスト・アナリスト

  手動のスクリプト実行なしに、学習データや市場インテリジェンスの収集を自動化します。

• 02

  開発者

  コードエディタから直接、ブラウザセッションのデバッグやプロキシゾーンの管理を行います。

• 03

  市場調査担当者

  対話形式でSERPデータを抽出し、検索順位や競合他社の動きを追跡します。

• 01

  How do I bypass website blocks?

  You can use the send_request capability with a Web Unlocker zone to bypass anti-bot protections on protected sites.

• 02

  Can I use these proxies in my own Python scripts?

  Yes. Use the get_zone_passwords capability to retrieve credentials for direct connections in frameworks like Selenium or Playwright.

• 03

  How long does it take to collect a large dataset?

  It depends on the source. For example, LinkedIn scraping typically takes between 60 and 120 seconds per URL.

• 04

  How do I know when my data collection is finished?

  You can use the get_dataset_progress capability to check if the status is 'ready' before attempting to download the results.

• 05

  What happens if I don't have any proxy zones set up?

  You can use get_all_zones to check your account. If the list is empty, you will need to create zones at the Bright Data control panel.

• 06

  What is the workflow for scraping a LinkedIn post?

  Use trigger_dataset with the LinkedIn Posts dataset ID (gd_lyy3tktm25m4avu764) and a direct post URL (e.g., https://www.linkedin.com/feed/update/urn:li:activity:...). This returns a snapshot_id. Then poll get_dataset_progress every 15–30 seconds until the status is ready. LinkedIn scraping typically takes 60–120 seconds. Finally, call get_dataset_snapshot to retrieve the structured data including post content, author details, reactions, and comment count.

• 07

  Why does send_request fail with a zone error?

  The send_request capability requires an active proxy zone (Web Unlocker or SERP API). If your account has no zones configured, the request will fail. Run get_all_zones first to check your available zones. If the list is empty, you need to create a zone in the Bright Data dashboard before using send_request.

• 08

  Which URL formats does the LinkedIn Posts dataset accept?

  The LinkedIn Posts dataset (gd_lyy3tktm25m4avu764) only accepts direct post URLs matching the pattern linkedin.com/(pulse|posts|feed/update). Valid examples: https://www.linkedin.com/feed/update/urn:li:activity:1234567890 or https://www.linkedin.com/posts/username_title-activity-1234567890. Search result pages, profile pages, and hashtag pages are not supported.

• 09

  How do I find the right dataset ID for my use case?

  Use the list_datasets capability to browse all 100+ available datasets. Common IDs: LinkedIn Posts (gd_lyy3tktm25m4avu764), LinkedIn People (gd_l1viktl72bvl7bjuj0), LinkedIn Companies (gd_l1vikfnt1wgvvqz95w), Amazon Products (gd_l7q7dkf244hwjntr0), Instagram Profiles (gd_l1vikfch901nx3by4), Google Maps (gd_m8ebnr0q2qlklc02fz).

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