Project Prompt
The client, ThoughtMS, needed to gather structured data about startups exhibiting at a specific event. Their in-house team was spending a significant amount of time manually visiting each startup’s page, copying company descriptions, industries, and locations, and then organizing this data in spreadsheets for cold outreach. This manual process was inefficient and prone to errors.
Challenges in the Process
- Varying Site Structures : The event site featured hundreds of startup pages, each with unique and inconsistent structures, making automated data extraction highly complex.
- Time-Consuming & Error-Prone Manual Scraping : Manual data collection was not only incredibly slow but also introduced significant human error, leading to inaccurate or incomplete leads.
- Inconsistent Data Quality : There was no reliable method to enrich or clean the inconsistent raw data, impacting the quality and targeting effectiveness of outreach campaigns.
Our Solutions
- Automated Lead Extraction System : We implemented a robust automated system leveraging n8n for workflow automation, Firecrawl for efficient web scraping, and the OpenAI API for intelligent data processing.
- AI-Powered Data Cleaning & Standardization : The OpenAI API was crucial for cleaning raw HTML snippets, extracting relevant information, and standardizing inconsistent data formats, ensuring high data quality.
- Direct Export to CSV & Google Sheets : Structured and clean leads were directly exported into CSV files and Google Sheets, ready for immediate use in cold outreach campaigns.
Outcome
- 100% reduction in spreadsheet/manual tracking
- 80% of applicants completed more of their forms than previous years
- Admin review time was reduced by more than 60%
- A scalable portal now ready for future programs and use cases
Key Metrics & Results
