[METHOD] Scraping 50,000 B2B Leads via Hidden Google Maps API

[JackaL]

Scraping 50k Local B2B Leads (Emails & Phones)​

The Goldmine:
Local businesses (plumbers, dentists, real estate) pay huge money for SEO and website overhauls. To sell to them, you need their data. Buying lists is expensive and saturated. We will scrape them ourselves.

The Workflow:
We won't use the official Google Maps API because it costs money and has rate limits. We will use an undocumented AJAX endpoint that Google uses internally.

The Python Scraper Script:
[HIDE=thanks]
This script bypasses the official API and pulls company names, websites, and phone numbers directly into a CSV file.

import requests
import json
import csv

# Target: Dentists in New York
url = "https://www.google.com/search?tbm=map&q=dentists+in+new+york"
headers = {"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64)"}

response = requests.get(url, headers=headers)
# Note: Full data parsing requires regex on the initial HTML state.
# Combine this with a domain-to-email scraper like Hunter.io API for the ultimate lead list.

Once you have the domain list, run it through an email extractor to build your Cold Outreach campaign.
[/HIDE]