Turn long Wikipedia pages into short briefs you can share. This setup is great for marketers, content teams, and product leads who need quick research notes without reading full articles. You get clean text and a concise summary sent to a webhook for easy handoff to your tools.

Here is how it works. You start the run by clicking test. A Set node holds the Wikipedia URL and your Bright Data zone. An HTTP Request posts to Bright Data to fetch raw HTML. A Google Gemini model then cleans the HTML into readable text. A second Gemini model produces a concise summary using advanced chunking for long pages. Finally, the result is posted to a webhook with the summary in the body so another system can catch it.

To set it up, add your Bright Data API header, paste your Gemini API key into both AI nodes, and replace the webhook URL. Expect research time to drop from an hour to a few minutes per topic. This works well for topic briefs, competitor snapshots, and daily knowledge digests. Change the URL to cover new subjects whenever you need.

• On demand run with a manual trigger for quick research sessions
• Bright Data request pulls raw HTML from the target Wikipedia URL using your zone
• LLM Data Extractor converts HTML to clean text with a Google Gemini model and a strict formatter prompt
• Summarization chain uses a second Gemini model with advanced chunking for long articles
• Webhook notifier posts the final summary as a body field for easy pickup by other apps
• Configurable Set node stores the URL and zone so you can target any page

• Reduce manual reading from 60 minutes to 5 minutes per page
• Automate up to 80 percent of research summarization work
• Improve consistency of briefs by using the same AI prompts every time
• Deliver summaries to any system through a simple webhook
• Scale coverage by swapping the Wikipedia URL without extra setup

1. Import the template into n8n: Create a new workflow in n8n > Click the three dots menu > Select 'Import from File' > Choose the downloaded JSON file.
2. You'll need accounts with Google Gemini, Bright Data and Webhook.site. See the Tools Required section above for links to create accounts with these services.
3. Open the Set node named Set Wikipedia URL with Bright Data Zone and enter the target Wikipedia page in the url field and your Bright Data zone name in the zone field.
4. Double click the Wikipedia Web Request node. In the Credential to connect with dropdown, click Create new credential. Choose HTTP Header Auth and follow the on screen instructions to add your Bright Data API header. Save the credential and test the node to confirm you receive HTML in the data field.
5. Open the Google Gemini Chat Model2 node. In the credential dropdown, click Create new credential for Google Gemini. Paste your API key from the Google Gemini API page and save. Repeat the same credential setup for the Google Gemini Chat Model For Summarization node.
6. Open the Concise Summary Generator node and keep the default prompt. If your pages are very long, keep advanced chunking enabled for stable results.
7. Open the Summary Webhook Notifier node and replace the URL with your Webhook.site URL or another endpoint that will receive the summary. Make sure Send Body is enabled and the summary parameter name matches your target app.
8. Click Test workflow. Check each node’s output: the HTTP request should return raw HTML, the LLM Data Extractor should output readable text, the summarizer should produce response.text, and the webhook should receive the summary.
9. If you get an empty response, verify the Wikipedia URL and your Bright Data zone. For authentication errors, confirm the API key or header name in the HTTP Header Auth credential. For long pages hitting limits, reduce the page length or keep chunking as is.