Overview
This workflow automates the extraction, summarization, and structuring of B2B lead data from Crunchbase, leveraging Bright Data for web scraping and GPT-4o for advanced text processing. Results are organized and stored in Google Sheets for easy access and further analysis.
Key Features
- Automated Data Extraction: Initiates on manual trigger, fetching lead data from Crunchbase via Bright Data web requests.
- AI-Powered Summarization: Utilizes GPT-4o (via LangChain nodes) to convert raw web data into concise, actionable summaries.
- Structured Data Parsing: Employs output parsers to transform unstructured content into structured formats suitable for business use.
- Seamless Google Sheets Integration: Automatically writes processed leads and summaries to Google Sheets for collaboration and tracking.
- File Output: Saves summarized content to disk for archival or offline analysis.
Benefits
- Time Savings: Eliminates manual data collection and summarization, accelerating lead generation workflows.
- Enhanced Accuracy: Reduces human error by automating data extraction and structuring.
- Scalability: Easily processes large volumes of leads with minimal manual intervention.
Use Cases
- B2B sales teams seeking up-to-date, structured lead lists.
- Marketing teams automating prospect research.
- Analytics teams requiring summarized company data for reporting.
Integrations
- Bright Data (web scraping)
- GPT-4o via LangChain (AI summarization)
- Google Sheets (data storage)
- Local file system (content archiving)
