Contact person: AI Email Finder US Suppliers

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Location: Panchkula, India

Budget: Recommended by industry experts

Time to start: As soon as possible

Project description:
"I’m looking to have an AI-driven tool built that can hunt down verified email addresses for every supplier and distributor operating in the United States, regardless of commodity. The immediate priorities are groceries, metal products, live plants and general produce, but I also need coverage to extend to plastics, electrical items, salt wire and any other mainstream or niche commodity lines that surface.

The workflow I have in mind is straightforward: feed the tool a keyword or industry cue, let it crawl open‐web sources (corporate sites, marketplace listings, trade directories, SEC filings, etc.), apply natural-language recognition to isolate supplier or distributor entities, and then extract, validate and de-duplicate their contact emails. I expect intelligent throttling and anti-bot safeguards so the process can run continuously without being blocked. Ideally the core will be written in Python with libraries such as Scrapy, BeautifulSoup, Selenium or equivalent, supported by an email validation API and a lightweight database for storage.

Deliverables
• A working script or packaged application (CLI or simple GUI) that accepts a list of commodity keywords and outputs a .csv or .xlsx of company name, email, website and commodity tag.
• Clear read-me or short video walkthrough so I can install and run it on my own machine.
• Brief report (one page is fine) on data coverage achieved for groceries, metal products, live plants and produce, plus notes on how to widen the net to future categories.

I’m happy to iterate quickly, starting with a proof of concept focused on the four key categories above, then scaling to the broader universe of U.S. suppliers and distributors." (client-provided description)