Lead Finder by WappBlaster

Google Maps scraper for freelancers

Solo marketers and VA teams building prospect lists for multiple clients.

Last reviewed

Where the model fits freelancers

  • No coding and no API keys: the workflow is search, sweep, export.
  • One flat licence spread across every client engagement you take.
  • Runs on an ordinary laptop; long sweeps auto-save so overnight jobs survive a sleep or disconnect.

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 freelancers.

A working playbook

  1. Price list-building as a productised service (per niche per city) rather than hourly, since the software does the hours.
  2. Deliver cleaned lists: de-duplicated, E.164 phone formatting, closed listings removed. The cleaning is the differentiator, not the raw pull.
  3. Keep a portfolio metro you re-sweep monthly to demonstrate freshness against whatever bought list a client compares you to.
  4. Upsell the refresh: the same list re-pulled quarterly is recurring revenue for minutes of work.

Volume, honestly

A single licence is one machine. That is rarely the constraint for a solo operator; the constraint is cleaning and delivery time, which is where your rate lives.

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 freelancers 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.

Related

Or browse all 50 industry and audience guides.

Frequently asked

Why do freelancers 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 freelancers plan around?
A single licence is one machine. That is rarely the constraint for a solo operator; the constraint is cleaning and delivery time, which is where your rate lives.
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.