Google Maps Scraping ‑ Photographers
Budget: $10 – $30 USD
I need a simple, one-off Google Maps scrape that gathers wedding photographer / wedding photography listings from all 50 U.S. states and drops everything into a clean CSV file.
Columns required
• Contact information – name, phone, site (and email if Maps exposes it).
• Business details – business hours, current business status, total reviews.
• Geographical details – full address broken into street, city, state, postal code, country, plus latitude and longitude.
• Extras – main photo URL, street-view image link, and the Google Maps location link.
Scope & expectations
– A basic, ready-to-use CSV is all I need; no front-end or ongoing service.
– Detailed photo and street-view data are important, so please capture the primary image and the best available street-view shot when present.
– Aim for comprehensive coverage, but I understand some entries may lack certain fields—just leave those cells blank rather than substituting placeholders.
– The script, tool, or method you use (Python, Node, Apify, etc.) is up to you; share it with me only if you think it will help me rerun the scrape later.
Deliverables
1. Final CSV with all specified columns.
2. A quick note on how you collected the data and any limitations (e.g., rate limits, missing emails).
I’m working with a tight budget, so please keep the solution lightweight—no need for automatic refreshes or elaborate dashboards. If you’ve done similar Google Maps extractions before, this should be a straightforward task.
Columns required
• Contact information – name, phone, site (and email if Maps exposes it).
• Business details – business hours, current business status, total reviews.
• Geographical details – full address broken into street, city, state, postal code, country, plus latitude and longitude.
• Extras – main photo URL, street-view image link, and the Google Maps location link.
Scope & expectations
– A basic, ready-to-use CSV is all I need; no front-end or ongoing service.
– Detailed photo and street-view data are important, so please capture the primary image and the best available street-view shot when present.
– Aim for comprehensive coverage, but I understand some entries may lack certain fields—just leave those cells blank rather than substituting placeholders.
– The script, tool, or method you use (Python, Node, Apify, etc.) is up to you; share it with me only if you think it will help me rerun the scrape later.
Deliverables
1. Final CSV with all specified columns.
2. A quick note on how you collected the data and any limitations (e.g., rate limits, missing emails).
I’m working with a tight budget, so please keep the solution lightweight—no need for automatic refreshes or elaborate dashboards. If you’ve done similar Google Maps extractions before, this should be a straightforward task.
Related categories:
Python
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Web Scraping
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