Google Maps scraper for cold email agencies

Agencies pairing Maps extraction with email enrichment and sequencers.

Last reviewed 3 August 2026

Where the model fits cold email agencies

Website URL on every row is the input your enrichment stack needs.
Category and geography filters produce the tight segments deliverability depends on.
Flat extraction cost protects margin on high-volume list production.

The general tradeoffs between desktop, cloud and extension extraction are covered in the comparison; this page is about how the desktop model is actually worked by cold email agencies.

A working playbook

Extract the metro, filter to rows with websites, and hand only those to enrichment; the rest are phone prospects for a different service.
Expect 20-40% genuine email discovery and price client deliverables on that arithmetic, not on raw row counts.
Verify every address before the first send; bounces above roughly 3% damage the sending domain you run campaigns from.
Use review count and rating in personalisation lines; they are the only at-scale personalisation source cold email has in local.

Volume, honestly

The bottleneck is enrichment cost and sending capacity, not extraction. Extract wide, enrich the qualified subset.

What the export gives you to work with

Every row carries business name, phone, website, full address, coordinates, star rating, review count, category, opening hours where published, and social links where listed. The two fields that do the most work for cold email agencies are the review count, which is the best free qualification signal local data has, and the website URL, which splits every list into rows that can take email outreach and rows that need the phone. Email itself is discovered from the linked website, not the listing, with realistic coverage of 20-40% of rows; the email extraction guide explains why.

Or browse all 50 industry and audience guides.

Frequently asked

Why do cold email agencies use a desktop scraper instead of a cloud API?

Mostly pricing shape and control. A desktop licence is a flat $20 per year with unlimited rows, so cost does not scale with thoroughness, and extraction runs from your own connection rather than a shared proxy pool. The tradeoff is real: a desktop app cannot run unattended on a server or be triggered by another system, so workflows needing scheduled or programmatic extraction still belong on a cloud API.

What volume should cold email agencies plan around?

The bottleneck is enrichment cost and sending capacity, not extraction. Extract wide, enrich the qualified subset.

Does it get past the 120-result limit?

Yes, by grid extraction: the target area is divided into smaller cells, each cell is searched separately, and results are merged and de-duplicated on place ID. The 120-result ceiling applies to a single query, so coverage scales with the number of cells rather than being capped.