AI-powered data extraction tool For Company Names & Decision Maker Extraction
Budget: $15 – $25 USD
An AI-powered data extraction tool for marketing sector. The tool would be designed to scrape data from multiple sources, including company websites and public directories, to extract company names, contact details, and decision-maker information. Its responsibilities included designing the AI model for Named Entity Recognition (NER) to identify key individuals, implementing scalable web scraping pipelines, and integrating APIs for enhanced data accuracy. A notable functionality with the use of a custom machine learning algorithm to filter and rank decision-makers based on their roles, improving the my outreach efficiency by over 70%.
Excel results would be in this format-
Provided Email: CEO’s Name: Company’s Name
Key Requirements:
- The AI should primarily source information from company websites, google and other free data websites
- The tool must be capable of accurately identifying and extracting the names of companies and their decision-makers.
Ideal Skills:
- Proficiency in AI and machine learning.
- Experience in web scraping and data extraction.
- Understanding of corporate structures for effective decision-maker identification.
Excel results would be in this format-
Provided Email: CEO’s Name: Company’s Name
Key Requirements:
- The AI should primarily source information from company websites, google and other free data websites
- The tool must be capable of accurately identifying and extracting the names of companies and their decision-makers.
Ideal Skills:
- Proficiency in AI and machine learning.
- Experience in web scraping and data extraction.
- Understanding of corporate structures for effective decision-maker identification.