7 Best Google Maps Scrapers Compared [2026]

Last updated: May 2026

The Google Maps scraping market has gotten crowded. In 2026 there are browser extensions, cloud platforms, open source scripts, and purpose-built web apps, each with different trade-offs, pricing models, and assumptions about who is using them. Some tools are built for developers who want full control over extraction logic. Others exist for sales reps who just need a CSV by end of day.

This comparison covers the seven most relevant options in 2026, evaluated on ease of use, data quality, pricing, and practical fit for different users. One thing to establish upfront: there is no single best Google Maps scraper. The right answer depends entirely on your technical level, your monthly volume, and what you plan to do with the data. A solo founder prospecting for clients has completely different needs from an engineering team building a data pipeline.

If you want a primer on how Google Maps scraping works before comparing tools, our guide on how to scrape Google Maps covers the fundamentals. Otherwise, here is the comparison.

Quick Comparison Table

1. TheMapScraper

TheMapScraper is a web-based scraper built specifically for people who want Google Maps leads without any technical setup. You type a search query, click extract, and download a CSV. There is no account required to start, no browser extension to install, and no API keys to configure. If you want to scrape Google Maps without any technical setup, this is the fastest starting point.

The tool covers the core data fields needed for lead generation: business name, phone number, email (when published on the listing), address, website, star rating, review count, category, and opening hours. The CSV it produces is clean and imports directly into most CRMs without reformatting. If you specifically need email data, extracting emails from Google Maps is one of the primary use cases the tool is built for.

What TheMapScraper trades away for simplicity is depth. There is no API for programmatic access, no scheduling for recurring extractions, and no advanced enrichment beyond what appears on the Google Maps listing. If you need phone validation, verified emails through a third-party finder, or webhook integrations with your data stack, you will need a different tool. For the use case it is built for, though, it delivers well.

2. Apify

Apify is a cloud-based web scraping platform with a marketplace of more than 8,000 "actors," which are pre-built scrapers for specific websites. The Google Maps Scraper actor is one of the most popular on the platform, built and maintained by Apify itself, and it is genuinely powerful. You can extract large volumes of listings, configure exactly which fields you want, and connect the output to dozens of downstream tools via native integrations.

The platform's strength is programmability. You can schedule extractions on a cron schedule, trigger them via webhook, access results through a REST API, and receive data in JSON, CSV, or XML. There are official SDKs for JavaScript and Python. If you are building a data pipeline that needs Google Maps as one of several inputs, Apify fits that workflow better than any other option on this list.

The trade-off is complexity. Running an Apify actor requires understanding the platform's concepts: actors, runs, datasets, key-value stores. Setting up an extraction that would take two minutes on a no-code tool takes considerably longer here. The pricing model is also layered, and costs can be hard to predict until you have run a few jobs.

See our detailed TheMapScraper vs Apify comparison for a full side-by-side breakdown.

3. Outscraper

Outscraper is a cloud scraping platform with a focus on data enrichment. Beyond extracting what appears on a Google Maps listing, it offers additional services: phone number validation, email discovery through third-party finders, tech stack detection for websites, and contact enrichment. If you need verified contact data rather than raw listing data, Outscraper's enrichment pipeline is the most capable option on this list.

The base scraping output covers the standard fields. The enrichment add-ons are optional and priced separately. Phone validation checks whether a number is real and in service. The email finder attempts to surface email addresses for businesses that have not published them on their listing, which is useful when you need fuller coverage than the emails available directly on Google Maps.

The pricing structure is where Outscraper gets complicated. The base rate is reasonable at around $3 per 1,000 records, but adding email enrichment, phone validation, and tech stack detection each carry their own per-record costs. For a fully enriched record with verified phone and email, the all-in cost can reach $10 to $14 per 1,000 records. That is not unreasonable for high-quality enriched data, but it is easy to underestimate if you only look at the headline price.

See our TheMapScraper vs Outscraper comparison for a full breakdown.

4. Scrap.io

Scrap.io is a web app focused specifically on Google Maps with the most advanced filtering system of any tool on this list. Rather than just extracting businesses matching a text query, Scrap.io lets you filter by rating range, review count, whether a business has claimed their listing, whether they are running Google Ads, what language their website is in, and which social profiles are linked. It covers more than 4,000 business categories.

The platform can operate at country scale, which sets it apart from tools limited to query-level searches. If you want every Italian restaurant in France with a rating above 4.0 and fewer than 100 reviews, Scrap.io can produce that list in one job. For agencies or data companies that need large, precisely segmented lead lists, that capability is genuinely differentiated and not easily replicated elsewhere.

The downside is price. At €49 per month as the entry point and a 7-day trial limited to 100 leads, the barrier to evaluating it is higher than the tools with more generous free tiers.

See our TheMapScraper vs Scrap.io comparison for a detailed breakdown.

5. PhantomBuster

PhantomBuster is a general automation platform with scripts, called "Phantoms," for dozens of websites including Google Maps, LinkedIn, Instagram, and Twitter. Its Google Maps extractor works similarly to other tools on this list: you provide a search query and it returns business data. The extraction itself is solid, covering the standard fields.

Where PhantomBuster earns its place in this comparison is cross-platform workflows. If you are already using it for LinkedIn prospecting, adding Google Maps extractions to the same pipeline is straightforward. You can chain Phantoms together: extract businesses from Google Maps, look up their LinkedIn company pages, and export a unified contact list. For marketers who already think in multi-channel workflows, that integration is genuinely useful.

As a standalone Google Maps scraper, it is not the strongest option at its price point. It is expensive for single-platform use and requires learning PhantomBuster's workflow model. But if Google Maps is one data source among several in an existing stack, it fits naturally.

6. Map Lead Scraper (Chrome Extension)

Map Lead Scraper is a Chrome extension that extracts data from Google Maps while you browse it. You navigate to Google Maps, run a search, and the extension pulls the visible results. The interface is visual and immediate: you see the map, you see the listings, and you click to extract. For someone who needs to pull a specific list once and has no interest in platforms or APIs, the learning curve is near zero.

At $29 per month, it is also the lowest price point among the paid tools here. For occasional users doing small extractions, that combination of simplicity and low cost is appealing.

The limitations become apparent quickly. The extension is capped at around 120 results per search, which is fine for targeted extractions but inadequate for larger datasets. It breaks periodically when Google Maps updates its frontend, leaving you without a working tool until the extension ships an update. And it requires your browser to stay open and active for the duration of each extraction.

7. Open Source Google Maps Scrapers

Several open source Google Maps scrapers exist on GitHub, with the omkarcloud/google-maps-scraper project among the most widely used. These are Python-based scripts you run locally or deploy on your own infrastructure. They are free to use, transparent in how they work, and fully customizable for specific extraction requirements.

The freedom comes with real costs. You need to install Python and the required dependencies, understand how to configure and run the script, manage proxy rotation to avoid IP blocks, handle CAPTCHA challenges when they appear, and maintain the code as Google Maps updates its frontend. That last point is important: open source scrapers break more frequently than maintained commercial products because there is no dedicated team keeping them current.

For engineers comfortable with Python and web scraping concepts, the savings in tool costs can be substantial, especially at high volumes. For anyone else, the hidden costs in time and maintenance usually outweigh the apparent savings versus a tool with a generous free tier.

How to Choose the Right Google Maps Scraper

The decision comes down to three variables: your technical level, your monthly volume, and whether you need enriched data beyond what Google Maps listings contain.

If you want leads quickly without any setup, TheMapScraper is the fastest path from search query to downloaded CSV. If you are a developer who needs Google Maps data feeding into a larger pipeline, Apify's API and scheduling capabilities make more sense. If you need verified phone numbers and discovered emails alongside the raw listing data, Outscraper's enrichment pipeline is the strongest option. If you need heavily filtered lists at country scale, Scrap.io's filtering system is unmatched on this list. If you are already deep in PhantomBuster for LinkedIn workflows, adding Google Maps there avoids fragmenting your stack. If you need occasional small extractions and prefer a visual browser experience, a Chrome extension does the job. And if you are comfortable maintaining Python code and want zero software costs, open source is a viable option.

A few practical notes worth adding. Free tiers are a genuine way to evaluate data quality before committing. TheMapScraper's 10 leads per month costs nothing and takes two minutes to test. Apify's $5 monthly credit is enough to run several trial extractions. Outscraper's 500-record free tier covers a meaningful sample of your target market. Most of the tools here let you validate fit before spending anything.

Volume changes the math significantly at scale. For extractions in the tens of thousands per month, per-record pricing on Apify and Outscraper often beats flat subscription fees. For lower volumes, flat subscriptions are easier to budget and typically cheaper. Run the numbers for your actual use case rather than assuming one pricing model is always better.

The lead extraction workflow is also worth thinking through before choosing a tool. If your end goal is a CRM import, a clean CSV from a no-code tool is often more useful than a JSON payload from a developer platform that requires an extra transformation step. Once you have chosen a tool and are extracting data regularly, the next step is building the outreach process around it. Our Google Maps lead generation guide covers that in full.

Frequently Asked Questions

No tool wins across every dimension. TheMapScraper prioritizes simplicity, Apify prioritizes programmability, Outscraper prioritizes enrichment, and Scrap.io prioritizes filtering depth. The best choice is the one that fits your actual workflow without requiring you to work around its limitations.

If you are unsure where to start, begin with a free tier. Most of the tools here offer some form of no-cost access, and the best way to evaluate data quality is to extract a sample from your actual target market rather than rely on a comparison article. Start with 10 free leads and see how the data holds up against your requirements.