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Scraping B2B Lead Data: Combining LinkedIn, Clearbit, and Hunter.io

Scraping B2B Lead Data: Combining LinkedIn, Clearbit, and Hunter.io

via Dev.to Tutorialagenthustler

B2B lead generation runs on data. The best sales teams enrich prospects with company data, verified emails, and professional profiles. Here's how to build an automated lead enrichment pipeline combining multiple data sources. The Lead Enrichment Stack LinkedIn : Professional profiles, job titles, company associations Clearbit : Company data, technographics, funding info Hunter.io : Email discovery and verification Public sources : Company websites, press releases, SEC filings Hunter.io Email Discovery Hunter.io offers a generous free tier (25 searches/month) and affordable paid plans: import requests import time class HunterClient : BASE_URL = " https://api.hunter.io/v2 " def __init__ ( self , api_key ): self . api_key = api_key def domain_search ( self , domain , limit = 10 ): resp = requests . get ( f " { self . BASE_URL } /domain-search " , params = { " domain " : domain , " api_key " : self . api_key , " limit " : limit , }) data = resp . json (). get ( " data " , {}) return [{ " e

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