I want a tool building that goes to all the online data scraping sites and runs the queries that we are looking for (for example there are sites such as Appollo, Cognism, Outreach, Clay and others) - want to use these tools and others to gather data on specific verticals and then confirm the data gathered and enrich it. • pulls every email and profile details (B2B emails) • extracts those custom fields with high accuracy • stores them in a structured database ready for email campaigns. Once the raw data is captured, the same workflow must enrich it by appending any missing information, validating what is already there, and classifying the records so downstream teams can filter or segment with a single query. I am open to your choice of stack—Python with BeautifulSoup/Scrapy, Node with Cheerio, or any framework you can confidently deploy—so long as the final solution can run continuously (cron job, Docker container, serverless function, etc.), give clear logs, and scale as volume grows. Deliverables 1. Source code with clear inline documentation 2. Deployment scripts/config (Dockerfile, CI/CD or equivalent) 3. A small sample database populated from test emails to demonstrate the extraction, enrichment and classification steps 4. Quick-start guide so my in-house dev can maintain or extend the pipeline If you have past work in email parsing, NLP-driven enrichment, or data cleaning at scale, that would be a bonus—please mention it when you reach out.