🕷️️ Job Radar • SCRAPING

freelancer.com 🟡 2026-05-13

🔹 Extract Retail Business Contacts from Embedded Google Maps
👤 Client: 🇮🇪 Maynooth, Ireland Member since 2011-01-18
💰 Price: $26 Average bid
🚩 Problem: Need to gather verified email and phone numbers for retail businesses displayed on two websites.
📦 Existing: Not specified

Specifications:

[Target] Two retail-focused websites with embedded Google Maps showing store locations.
[Method] Use a combination of manual lookup, scraping tools, or API workflow to extract data. Ensure accuracy and speed.
[UI/UX] Not applicable.
[Stack] Python (for scraping), BeautifulSoup, Requests library, possibly Selenium for dynamic content; CSV/Google Sheets output.
[Security] Verify and deduplicate email/phone pairs before delivery to ensure accuracy.
[Format] Deliver final data in a single CSV or Google Sheet.

Workflow:

Analyze the two retail-focused websites to understand their structure and identify the embedded Google Maps.
Develop a scraping strategy using Python with libraries like BeautifulSoup, Requests, and possibly Selenium for dynamic content.
Extract store locations from the maps on both websites.
For each location, use online directories or other sources to find verified email addresses and direct phone numbers.
Deduplicate the collected data to avoid duplicates.
Verify the accuracy of emails and phone numbers by cross-referencing with public records or other reliable sources.
Package the final dataset into a single CSV or Google Sheet for easy import into CRM.