Google Maps Scraper 2025: 5 Methods + Complete Guide

Google Maps scraping is one of the most effective prospecting techniques for finding qualified local leads. This complete guide compares 5 concrete methods — from Python to Chrome extensions — with their real costs, limitations, and suitable use cases for each. Whether you are a developer or a salesperson without technical skills, you will find the method that fits your situation.

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Table of Contents

1. What is web scraping?
2. The limitations of scraping on Google Maps
3. Data enrichment for lead generation
4. Why Google Maps for scraping?
5. The 5 methods to scrape Google Maps
6. The no-code solution: IBLead
7. Analysis of extracted data
8. FAQ

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What is web scraping? {#web-scraping}

Web scraping is the automation of data extraction from a website. In practical terms: instead of manually copying and pasting hundreds of listings, a tool does this work for you in seconds.

This data is used to understand a market, monitor competitors, segment prospects, or extract contact details. This is precisely what can be done with Google Maps for commercial prospecting.

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The limitations of scraping on Google Maps {#limitations}

Scraping is useful, but it has rules. On Google Maps, you can only extract public data — that which is visible on listings and detailed pages.

This data includes: business name, address, phone number, Google rating, categories, hours, and more. They are public, so their extraction is legal in this context.

What you cannot do: extract private data, bypass technical protections, or violate GDPR by collecting personal data without a legal basis.

The limit of 120 results

Google Maps displays a maximum of 120 results per search. If you search for "restaurants Paris," you will never see more than 120 listings in the standard interface. This is an important technical constraint to know before choosing your scraping method.

Tools that scrape Google Maps in real-time all hit this limit. To exceed 120 results, you must either multiply geographic queries or use a pre-indexed database that has already circumvented this problem on a large scale.

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Data enrichment for lead generation {#enrichment}

Scraping doesn't stop at Google Maps listing data. You can go further with data enrichment.

The principle: if the listing contains the company's website URL, a tool can visit that site and extract additional information. Email addresses, links to social media, technologies used, active advertising pixels.

This is the difference between a lead with just a phone number and a lead with an email, Facebook, and confirmation that the company uses Google Ads. The latter is infinitely more exploitable.

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Why Google Maps for scraping? {#why-google-maps}

Good question. There are other data sources: Yellow Pages, LinkedIn, Facebook, industry directories. Why does Google Maps stand out?

1. The completeness of categories

Google Maps covers nearly 3,000 categories of businesses. Craftsmen, liberal professions, local shops, restaurants, medical practices — it's all there. You can target a very specific sector or sweep an entire category across a region.

2. International coverage

Google Maps is present in almost every country in the world. If you are prospecting in France, Belgium, and Spain, you use the same platform, the same methods, the same tools. This is not the case with Yellow Pages, which vary from country to country and require adapting the scraper to each local version.

3. Public data, no login required

On LinkedIn or Facebook, data is behind authentication. You need an account, an active session, and the platforms detect and block scrapers. On Google Maps, information is visible without a login. The process is simpler and more stable.

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The 5 methods to scrape Google Maps {#5-methods}

Here is a comparison table before detailing each method:

Method	Difficulty	Cost	Volume	Enrichment	For whom?
Google Maps API	🔴 High	Variable	High	❌ No	Developers
Python	🔴🔴 Expert	Free	Very high	✅ Yes	Programmers
PhantomBuster	🟡 Medium	~€59/month	Medium	⚠️ Limited	Marketers
Octoparse	🟡 Medium+	~€75/month	Medium	❌ No	Analysts
Chrome Extensions	🟢 Easy	Free	Low	❌ No	Beginners

Method 1: Google Maps API

An API is an interface that allows two applications to communicate. Classic analogy: you are at a restaurant, the API is the waiter. You place an order (request), the waiter goes to the kitchen (Google Maps), and brings you your dish (the data).

The Google Maps Places API is the official method for accessing listing data. It is reliable, structured, and well-documented. But it has constraints.

Concrete limits:

• Pricing per request — costs can rise quickly at high volume
• No native enrichment (emails, technologies)
• Requires an API key and development skills
• The limit of 120 results per search also applies here

For a developer who wants to integrate Google Maps data into an application, this is the right solution. For a salesperson who wants 10,000 leads this week, it's too complex.

Method 2: Python to scrape Google Maps

Python offers total control. You write each line of code, choose your libraries (Selenium, BeautifulSoup, Playwright), manage your proxies, your delays between requests, your data parsing.

Advantages:

• Free (excluding proxy costs)
• Infinitely customizable
• Can do enrichment if you code it

Disadvantages:

• Requires advanced Python skills
• Regular maintenance when Google changes its interface
• IP blocking management to consider
• Non-negligible development time

If you are a developer and have time, this is a viable option. Otherwise, the following methods will be more suitable.

Method 3: PhantomBuster

PhantomBuster is a no-code tool that automates tasks on different platforms via "phantoms" — pre-configured scripts that you set up without writing code.

For Google Maps, the principle: you provide a Google Maps search URL, the phantom runs, and you retrieve a CSV.

The main problem: you pay based on execution time, not the number of leads obtained. If you misconfigure the phantom, you consume time without results. The cost per lead is difficult to predict in advance.

PhantomBuster is interesting for automating LinkedIn or Facebook tasks. For Google Maps specifically, the results are less predictable.

Method 4: Octoparse

Octoparse is a visual scraping tool. You point to the elements to extract in a graphical interface, and the tool automatically generates the scraper.

It offers templates for Google Maps, which simplifies getting started. But enrichment — going to fetch emails on company websites — remains limited or absent depending on the configuration.

The plan suitable for serious Google Maps scraping is around €75/month. For this budget, the results remain average compared to specialized tools.

Method 5: Chrome Extensions

Dozens of Chrome extensions allow you to scrape Google Maps directly from the browser. They are often free and easy to use.

The problem: what you gain in simplicity, you lose in volume and reliability. The extensions use your personal IP address. If Google detects abnormal activity, it’s your browser that gets blocked, not a remote server.

To test the concept or extract a few dozen listings, it's sufficient. For large-scale prospecting, it's inadequate.

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The no-code solution: IBLead {#iblead}

There is a sixth approach that changes the logic of the problem. Instead of scraping Google Maps at the time of export — with all the risks of blocking, waiting times, and the limit of 120 results — IBLead has already scraped and indexed everything in advance.

The database contains 50M+ businesses in 37 countries, updated weekly. You search, filter, and export. In 2 minutes. No waiting, no ongoing scraping, no risk of blocking.

How it works in practice

You access your IBLead dashboard. You choose a category — let’s say "restaurants." You select your geographic area: country, region, department, city, or even postal code.

You immediately see the number of available leads. No surprises after the export.

Then, you refine with filters:

• Google rating: target only establishments with 4+ stars
• Number of reviews: exclude listings with fewer than 10 reviews
• Presence of a website: keep only businesses with a URL
• Email available: filter on listings with enriched email
• Claimed listing: target businesses active on Google
• Web technologies: 160+ detected technologies (WordPress, Shopify, Google Ads, Facebook Pixel, etc.)
• Google reviews: up to 500 reviews per listing — full text, rating, date, author

This last point is exclusive. No other tool on the market allows filtering and exporting Google reviews at this scale.

The real cost

€44 for 10,000 leads, or €0.004 per contact. All features are included from the first plan — no need to upgrade to access advanced filters.

You can test with 200 credits.

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Analysis of extracted data {#data}

Whether you use IBLead or another method, here’s what a well-structured Google Maps export contains.

Basic data

• Business name
• Full address (street, postal code, city, region, country)
• GPS coordinates (latitude, longitude)
• Phone number
• Website
• Main category and secondary categories
• Link to the Google Maps listing

Reputation data

• Average Google rating
• Total number of reviews
• Distribution of reviews by star (1 to 5)
• Text of reviews, author, date (depending on the tool)

Enriched contact data

• Email address (extracted from the website)
• Links to social media (Facebook, Instagram, LinkedIn, YouTube)
• Contact pages

Technical data (advanced enrichment)

• Detected technologies on the website (CMS, analytics, advertising tools)
• Active advertising pixels (Facebook Ads, Google Ads, etc.)
• Meta title and meta description of the site
• Claimed or unclaimed listing

SIRET data (France only)

For French companies, some tools allow you to retrieve the SIRET, SIREN, APE code, legal form, and name of the manager. This is useful for qualifying a prospect before contacting them.

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Comparison of methods: what to remember

Criterion	Python	PhantomBuster	Octoparse	Chrome Extension	IBLead
Required skills	High	Medium	Medium	None	None
Monthly cost	Free	~€59	~€75	Free	From €44/month
Possible volume	Very high	Medium	Medium	Low	Very high
Email enrichment	✅ (to code)	⚠️ Limited	❌	❌	✅ Included
Technology detection	✅ (to code)	❌	❌	❌	✅ 160+ techs
Google reviews	✅ (to code)	❌	❌	❌	✅ Up to 500
Risk of blocking	High	Medium	Medium	High	None
Instant export	❌	❌	❌	❌	✅

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FAQ {#faq}

Is it legal to scrape Google Maps?

Yes, under certain conditions. You can extract public data visible on Google Maps listings — name, address, phone number, rating, categories. This information is accessible without a login, and its collection is legal.

What is prohibited: bypassing technical protections, extracting private personal data, or violating GDPR. In practice, if you limit yourself to public professional data and respect a reasonable volume of requests, you are within legal bounds.

Which method to choose for scraping Google Maps without coding?

Two main options: Chrome extensions (free but limited in volume) and specialized tools like IBLead (paid but comprehensive). If you need more than 500 leads per month with email enrichment, Chrome extensions will not suffice. A specialized tool will be more suitable.

How to exceed the limit of 120 Google Maps results?

Google Maps displays a maximum of 120 results per search. To exceed this limit, you must either multiply queries by breaking down the geographic area (by city, district, postal code) or use a pre-indexed database that has already done this work. IBLead, for example, covers entire countries without this constraint.

Can we scrape Google Maps reviews?

Yes. Google Maps reviews are public data. You can extract them with Python (by coding the parser) or with specialized tools. IBLead extracts up to 500 reviews per listing — full text, rating, date, author — which no other tool on the market offers natively.

How much does Google Maps scraping cost?

It depends on the method. Python is free if you code it yourself (excluding proxy costs). PhantomBuster is around €59/month. Octoparse around €75/month. IBLead offers €44 for 10,000 leads, or €0.004 per contact, with all features included.

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Conclusion

Scraping Google Maps is accessible to all profiles — developer, marketer, salesperson. The method depends on your skills, budget, and the volume you need.

Python offers maximum control but requires time. Chrome extensions are free but limited. PhantomBuster and Octoparse are decent compromises. For professional use with enrichment, advanced filters, and instant export, a pre-indexed database like IBLead changes the game.

free credits — 200 credits included