Verbinden Sie Bright Data mit ChatGPT, Claude und Gemini

• 01 / 03Proxy-Infrastruktur verwalten
• 02 / 03Suchergebnisse scrapen
• 03 / 03Datensammlungen starten

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744ms

Langsamster Tag

1179ms

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Bright Data Connector

Alles bereit. Wählen Sie Ihren MCP-Client und folgen Sie den Einrichtungsschritten.

Connector-Linkhttps://edge.vinkius.com/vk_preview_Z06xKXBLbhmRgabDfSd6BBkkFtoyph9gsiWpikY1/mcpKopieren

Claude Desktop

Folgen Sie den Schritten unten, um sich in Sekunden zu verbinden.

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.

Konfiguration · claude_desktop_config.jsonKopieren

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

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

Schritt-für-Schritt-Anleitungen für jeden Client finden Sie im Guide. Verbinden

Geführte Einrichtung für Claude? Bright Data in Claude und anderen KI-Tools einrichten

Alle KI-Clients ansehen, mit denen dieser Connector funktioniert ↑

• 01

  Data Scientists & Analysten

  Automatisieren die Sammlung von Trainingsdaten oder Marktintelligenz ohne manuelle Skripte.

• 02

  Entwickler

  Debuggen Scraping-Browser-Sessions und verwalten Proxy-Zonen direkt im Code-Editor.

• 03

  Marktforscher

  Extrahieren strukturierte SERP-Daten, um Rankings und Wettbewerbsbewegungen per Chat zu verfolgen.

• 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).

• 

  Import.io (Web Data Extraction) KI-Connector

  Extract structured data from any website via Import.io — run extractors, manage bulk crawls, and monitor API u

  Ansehen
• 

  Hevo Data (ETL & Data Pipeline) KI-Connector

  Manage data pipelines via Hevo — list pipelines, monitor destinations, and track usage.

  Ansehen
• 

  Grepsr KI-Connector

  Automate web scraping via Grepsr — manage reports, trigger crawls, and retrieve data directly via AI.

  Ansehen
• 

  Browserhub KI-Connector

  Automate web scraping via Browserhub — run scrapers, manage jobs, and retrieve extracted data directly from an

  Ansehen

Vorschläge

• 

  Data Pipeline Prover KI-Connector

  A data team asked an AI to build an ETL pipeline. No schema contract. No idempotency. No freshness SLA. The pi

  Ansehen
• 

  Captain Data KI-Connector

  Automate web data extraction via Captain Data — find and enrich people and company profiles directly from any

  Ansehen
• 

  Hyperbrowser (Web Infra for AI) KI-Connector

  Cloud browsers for AI agents via Hyperbrowser — manage sessions, scrape pages, and extract structured data.

  Ansehen
• 

  SERPHouse KI-Connector

  Grant your AI agent unfiltered real-time access to Google and Bing SERP data to scrape organic search results

  Ansehen