📊 Extract & summarize Wikipedia data with Bright Data and Gemini AI

⚡ 583 views · 📊 Market Research & Insights

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Description

Who this is for?

This workflow automates the process of Wikipedia data extraction using the Bright Data Web Unlocker, parsing and cleaning the data, and then sending the results to a specified webhook URL for downstream processing, reporting, or integration.

What problem is this workflow solving?

• Researchers who need structured information from Wikipedia pages regularly.

• Data Engineers building knowledge bases or enriching datasets with factual data.

• Digital Marketers or Content Writers automating fact-checking or content sourcing.

• Automation Enthusiasts who want to trigger external systems with rich context from Wikipedia.

What this workflow does

This workflow addresses the challenges of manually retrieving, structuring, and using data from Wikipedia at scale.

Workflow Breakdown

Trigger

• Type: Scheduled or Manual
• Purpose: Starts the workflow either on a fixed schedule (e.g., daily) or on-demand via a manual trigger or incoming webhook.

Bright Data Wikipedia Scraping

• Tool Used: Bright Data Web Unlocker
• Action: Scrape the HTML content of one or multiple Wikipedia article URLs.

Parse & Extract Structured Data

• The Basic LLM Chain node is responsible for producing a human readable content.

Summarization

• Summarize the Wikipedia content by utilizing the Summarization Chain node.

Send to Webhook

• Initiates a Webhook notification to the specified URL as part of the “Summary Webhook Notifier” node.

Setup

• Sign up at Bright Data.
• Navigate to Proxies & Scraping and create a new Web Unlocker zone by selecting Web Unlocker API under Scraping Solutions.
• In n8n, configure the Header Auth account under Credentials (Generic Auth Type: Header Authentication). Header Authentication.png The Value field should be set with the Bearer XXXXXXXXXXXXXX. The XXXXXXXXXXXXXX should be replaced by the Web Unlocker Token.
• In n8n, configure the Google Gemini(PaLM) Api account with the Google Gemini API key (or access through Vertex AI or proxy).
• Update the Set Wikipedia URL with Bright Data Zone node with the Wikipedia URL and Bright Data Zone.
• Update the Summary Webhook Notifier node with the Webhook endpoint of your choice.

How to customize this workflow to your needs

1. Update Wikipedia URL

• Replace with your own Wikipedia URL of your interest.
• Make sure to set the Wikipedia URL as part of the “Set Wikipedia URL with Bright Data Zone” node.

2. Modify Data Extraction Logic

• Extract entire article content or just specific sections by extending the “LLM Data Extractor” node prompt.

3. Extend AI Summarization

• Extract key bullet points or entities.
• Create short-form summaries by extending the “Concise Summary Generator” node.

4. Extend Summary Webhook Notifier

• Send to Slack, Discord, Telegram, MS Teams via the Webhook notification mechanism.
• Connect to your internal database/API via the Webhook notification mechanism.

🔗 Nodes Used

HTTP Request, Summarization Chain, Basic LLM Chain, Google Gemini Chat Model

📥 Import

Download workflow.json and import into n8n: Workflow menu → Import from File

📖 Importing guide · 🔑 Credential setup