Automate Startup Funding Research with AI and Airtable
This workflow automates the discovery and analysis of newly funded startups by scraping news sources, extracting key funding details using AI, and organizing the data in Airtable for easy access.
The workflow begins by fetching the latest articles from TechCrunch and VentureBeat using HTTP requests. It then parses the XML data to JSON, splits and filters articles to identify those related to funding announcements. Using AI models like Claude and Perplexity, it extracts structured data such as company name, funding amount, and investor details. The extracted data is then organized and stored in Airtable for further analysis. Additionally, the workflow conducts deep research on each company, providing comprehensive insights into their market position and business model.
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Web Scraping & Research Engine
8 hand-picked workflows for $59.00.
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How to import this workflow into n8n
- 1Purchase or download the workflow to get the n8n workflow JSON file.
- 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
- 3Open each node marked with a credential warning and connect your own accounts and API keys.
- 4Run the workflow once manually to verify the data flow, then toggle it to Active.
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