Goodreads Quote Extraction with Bright Data and Gemini
Goodreads Quote Extraction with Bright Data and Gemini
This workflow demonstrates how to fetch data specifically from Goodreads web pages using Bright Data and then extract specific information (quotes) from that data using a Google Gemini AI model.
How it works
The workflow is triggered manually. It sends a request to a Bright Data collector to scrape data from a predefined list of Goodreads URLs. The collected text data from Goodreads is then passed to a Google Gemini AI node. The AI node processes the text and extracts quotes based on a specified JSON schema output format.
Set up steps
Setting up this workflow should take only a few minutes.
You will need a Bright Data API key to configure the 'Header Auth' credential. You will need a Google Gemini API key to configure the 'Google Gemini(PaLM) Api account' credential. Ensure the correct Bright Data collector ID is set in the 'Perform Bright Data Web Request' node URL. Make sure the full list of target Goodreads URLs is correctly added to the 'Perform Bright Data Web Request' node's body. Link your created credentials to the respective nodes ('Perform Bright Data Web Request' and 'Quotes Extractor'). Keep detailed descriptions for specific node configurations in sticky notes inside your workflow canvas.
Related Templates
Convert Tour PDFs to Vector Database using Google Drive, LangChain & OpenAI
🧩 Workflow: Process Tour PDF from Google Drive to Pinecone Vector DB with OpenAI Embeddings Overview This workflow au...
Provide latest euro exchange rates from European Central Bank via Webhook
What is this workflow doing? This simple workflow is pulling the latest Euro foreign exchange reference rates from the E...
Automate Daily Keyword Research with Google Sheets, Suggest API & Custom Search
Who's it for This workflow is perfect for SEO specialists, marketers, bloggers, and content creators who want to automa...
🔒 Please log in to import templates to n8n and favorite templates
Workflow Visualization
Loading...
Preparing workflow renderer
Comments (0)
Login to post comments