Google Maps Scraper Pricing Compared (2026): Free Tiers and Hidden Costs

If you've tried to compare Google Maps scrapers on price, you've probably noticed the problem: no two tools price the same way. One charges per result, another per "compute unit," a third bundles everything into a monthly subscription, and a fourth tacks on extra fees the moment you want emails. Comparing a headline number from each is almost meaningless. This guide breaks down how the major pricing models actually work in 2026 — and, more importantly, where the costs you didn't budget for tend to hide.

Why Google Maps Scraper Pricing Is So Confusing

The advertised price is rarely the price you pay. The same job — "pull 5,000 restaurants in Madrid" — can cost wildly different amounts across tools, not because the data differs, but because the billing model differs. Before comparing tools, it helps to understand the four models you'll run into.

1. Pay-per-result

You're charged for each record returned. This is the easiest model to reason about: 5,000 records costs 5,000 units. The catch is that "a result" isn't always defined the same way, and add-on data (emails, social profiles, reviews) is often billed on top of the base result.

2. Platform usage / compute-based

Some platforms charge for the underlying compute — memory, runtime, "compute units" — rather than the data itself. Your bill depends on how long a job runs and how heavy it is, which makes it hard to predict before you press go. A free monthly platform credit usually covers only a few small runs.

3. Pay-as-you-go credits

You buy a balance of credits and spend them as you scrape. Clean in principle, but different task types (basic data vs. enrichment vs. reviews) often consume credits at different rates, so a credit isn't always a fixed amount of value.

4. Subscription / seat-based

A flat monthly fee with usage caps — execution time, slots, or a record ceiling. Predictable if your volume is steady, wasteful if it's spiky, and the caps are easy to hit faster than expected.

How the Major Tools Price (2026)

Pricing changes often, so treat the specifics below as models to verify rather than fixed quotes. The model is what matters for comparison — the exact number you should always confirm on each provider's current pricing page.

Apify

Apify is a general scraping platform; the Google Maps scraper runs as an "actor" on top of it. Pricing combines platform usage with a pay-per-result charge for the actor, and pulling emails or social data is billed as an extra on top of the base result. There's a small free monthly platform credit, but it's typically exhausted in a few runs. Best fit for developers already living inside the Apify ecosystem.

Outscraper

Outscraper uses a pay-as-you-go credit model with a free tier to start. For plain Google Maps business data it's competitive, but it's a multi-source platform — reviews, photos, and enrichment services are priced separately, so a mixed workload is harder to forecast. Good for technical users who want many data types from one account.

Bright Data

Bright Data is enterprise-grade infrastructure: residential proxy networks, unblocking, and data products built for scraping at massive scale. Pricing reflects that — it's oriented toward high-volume operations rather than someone who needs one targeted lead list, and there's no meaningful free tier for casual use. Overkill (and overpriced) for most marketing and sales use cases.

PhantomBuster

PhantomBuster is an automation tool with Google Maps as one of many "phantoms." It sells subscription tiers gated by execution time and slots, so your real cost is a function of how long your automations run, not how many records you get. It's better understood as a broad automation platform than a dedicated business-data extractor.

BasedOnBusiness

BasedOnBusiness uses a strictly flat model: 1 credit = 1 business record, regardless of how many fields come back. No per-field charges, no task multipliers, no compute surprises, and credits never expire. The free tier is 50 credits with no credit card required, so you can run a real search and see the data quality before paying anything.

Where the Hidden Costs Hide

Across every model, the same few line items quietly inflate the bill:

• Email and enrichment add-ons. Base business data is one price; emails, social links, and review scraping are frequently extra. (Worth knowing: emails aren't actually available from Google Maps listings at all — any tool charging to "extract emails from Maps" is pulling them from a separate step. Set your expectations accordingly.)
• Compute and runtime. On usage-based platforms, a slow or large job costs more even if it returns the same records.
• Credit expiry. Some balances expire monthly, so unused credits are money lost.
• Plan minimums and seats. Subscriptions can force you into a higher tier for a one-off project.
• Failed or duplicate results. Check whether you're billed for records you'd throw away.

How to Actually Compare Cost

To compare tools honestly, ignore the headline number and estimate the cost of your real job:

1. Define one concrete job — e.g. 5,000 records, one country, business data only.
2. Price that exact job on each tool, including any add-ons you'd genuinely use.
3. Add the cost of your time — a tool that takes an afternoon to configure isn't free even on a free tier.
4. Check predictability — can you know the cost before you run it? Flat per-record pricing wins here; compute-based models don't.

For most marketers, agencies, and sales teams pulling targeted lead lists, a flat per-record price is both the cheapest and the most predictable option. The exotic models pay off only at large scale or for unusual data needs.

Get Started Free

If predictable pricing matters to you, BasedOnBusiness gives you 50 free credits when you sign up — no credit card required — so you can run a real Google Maps search, download the list, and see exactly what one record costs before you commit. Visit basedonb.com to try it.