Quanweidu B2B Sales Prospecting Assistant

Problem

B2B sales prospecting often gets stuck on three friction points: leads are scattered across different lookup flows, contact quality is inconsistent, and batch results are hard to import into phone contacts or WeChat. This skill turns Quanweidu (quanweidu.com) search, precise contact lookup, Excel export, and vCard generation into one workflow, so “find companies, check numbers, export, and prepare adding contacts” can be driven by natural language.

How It Works

Core capabilities include:
- Login-state check: verify the local token first; if not logged in, support password or SMS-code login.
- Natural-language search: convert requests like “Beijing big data companies” into platform search conditions, filtered by region, industry, scale, establishment years, and more.
- Single-company lookup: run search for a company name, take the company_id, then query precise phone numbers, contacts, and roles.
- Batch export: use batch_export to search, fetch numbers company by company, and generate Excel; keep --max-count 50 as the usual default.
- vCard generation: read an Excel file, filter null or landline numbers, deduplicate, sort by accuracy, and output .vcf for phone contacts.

The usual flow starts with login, then confirms search conditions, then chooses single-company lookup or batch export. If similar companies are needed, it reuses the previous company’s industry, region, and capital range for a new search.

Boundaries and Notes

This is suitable for engineers or sales operations teams who already have a Quanweidu account and need enterprise lead cleanup plus contact-list preparation. The platform only supports province-level region filtering, so city-level leads must be verified in the results; overly strict filters may return zero matches, so relax keywords or industry first. Do not fetch the full result set for batch work; take 60–100 records across pages. Precise numbers can still be invalid, so prioritize A+ and A accuracy before importing into WeChat.