Lead Finder by WappBlaster

Google Maps scraper for local SEO consultants

Consultants prospecting businesses with weak Google Business Profiles.

Last reviewed

Where the model fits local SEO consultants

  • Rating and review-count fields turn the export into a ranked prospect list by profile weakness.
  • Full-metro coverage surfaces the long tail of unclaimed and neglected profiles no top-20 search shows.
  • Category filters isolate the verticals you already have case studies in.

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 local SEO consultants.

A working playbook

  1. Sweep the metro, then sort ascending by review count within each category: the bottom quartile is your pipeline.
  2. Cross-reference rating against review count; a 4.9 with 6 reviews is a better prospect than a 3.8 with 400, and a different pitch.
  3. Screenshot the prospect beside the category leader in your outreach; the gap sells the service without adjectives.
  4. Re-sweep quarterly and report review-velocity changes to clients, which is retention evidence produced in minutes.

Volume, honestly

A consultant typically works one metro deeply rather than many shallowly, which is exactly the shape a flat licence favours.

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 local SEO consultants 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.

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Frequently asked

Why do local SEO consultants 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 local SEO consultants plan around?
A consultant typically works one metro deeply rather than many shallowly, which is exactly the shape a flat licence favours.
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.