Top 3 Chrome Extensions for Scraping Google Maps 2025

Finding the right top 2025 chrome extensions scraper google maps isn’t easy. General tools work, but imperfectly. Google Maps has its own technical constraints — partial scrolling, a limit of 120 results, data hidden in detailed listings — and each extension handles them differently.

This guide compares three extensions concretely: what they do, what they don’t do, and when to use them. At the end, we also present a specialized solution for those who want to go further.

---

Table of Contents

1. Instant Data Scraper — Simplicity Above All
2. Data Miner — More Control, More Complexity
3. Web Scraper — The Complete Solution (But Technical)
4. Summary of the Three Extensions
5. The Specialized Alternative: IBLead
6. FAQ

---

Instant Data Scraper — Simplicity Above All {#instant-data-scraper}

Installation

Type "Instant Data Scraper" in the Chrome extensions search. It’s usually the first result. A click on "Add to Chrome" is enough. No account required, no initial setup.

How It Works

Open a Google Maps search — for example, "restaurants Paris 11e". Activate the extension. It automatically detects the items to extract and visually frames them.

If the automatic selection doesn’t suit you, click on "Try another table" to change detection. That’s all you can configure.

The Infinite Scroll Problem

Google Maps doesn’t use a classic pagination. Results are displayed via a partial scroll — a scroll that only applies to the left column, not the entire page.

Instant Data Scraper handles this with a checkbox: "Infinite scroll". Activate it, set a delay between each scroll, and the extension automatically scrolls the list while you wait.

This is one of its real strengths. Google Maps' partial scroll is technically specific, and few tools manage it without manual configuration.

What You Get

On export, you retrieve:

• The URL of the detailed listing
• The name of the establishment
• The Google rating
• The number of reviews
• The price range
• The category
• The address

The Excel file is messy. Empty columns, unclear names, stray lines at the top of the file. You need to reprocess the data before using it.

The Real Limits

Instant Data Scraper can only extract what is visible in the listing. The phone number and website only appear in the detailed listing — you have to click on each establishment to access it. This extension doesn’t do that.

Result: you have a list of names and addresses, but no usable contact data for direct prospecting.

Verdict: ideal for a quick first test or to retrieve URLs of detailed listings to process later with another tool.

---

Data Miner — More Control, More Complexity {#data-miner}

Installation and Prerequisites

Type "Data Miner" in the Chrome Web Store. Installation requires creating an account — expect an additional 2 to 3 minutes compared to Instant Data Scraper.

The Principle: Recipes

Data Miner works with recipes — the equivalent of configurable scraping scripts. You define which data to extract, from what type of page, with which selectors.

To scrape Google Maps detailed listings, the workflow occurs in two stages:

1. Retrieve the URLs of the detailed listings (via Instant Data Scraper, for example)
2. Feed Data Miner with these URLs to extract the data from each listing

Create a Recipe Step by Step

In the Data Miner interface, click on "Make new recipe for this page". The assistant proposes 7 steps.

Step 2: choose "Scrape a detailed listing" (option 2). This reduces the number of subsequent steps.

Step 4: define the columns to extract. For basic prospecting, three columns are sufficient:

• Title: CSS selector H1
• Phone: button[aria-label*="phone number"]
• Website: a[aria-label*="website"]

Why CSS Selectors, Not Point & Click

Data Miner offers an "Easy Column Finder" mode — you click on the desired element and it generates the formula. It’s tempting, but unreliable at scale.

When extracting hundreds of listings, the automatically generated formula lacks precision. A manually written CSS selector targets the exact element, even if the layout varies slightly from one listing to another.

Important: these selectors only work if your Google Maps interface is in French. Check the language setting before starting the extraction.

Start the Extraction

Once the recipe is saved, go to "Crawl Scrape" → "Load new Crawl". Paste your URLs (one per line), check that they are valid, select your recipe, set the delay between each scrape, and start.

The results appear in the "Download" tab. Expect 1 to 2 minutes for 5 URLs, proportionally more for larger volumes.

What You Get

The data is clean and structured: title, phone, website in three distinct columns. A few stray characters may appear at the beginning of a cell — a quick cleanup in Excel is enough.

The Limits of Data Miner

Two concrete problems:

The Two-Step Workflow: you cannot start directly from a Google Maps search. You first need to retrieve the URLs of the listings, then inject them into Data Miner. It’s doable, but it doubles the working time.

The Cost: crawling multiple URLs simultaneously is a paid feature on Data Miner. The free plan is very limited in volume.

Verdict: more powerful than Instant Data Scraper for contact data, but the two-step process and cost hinder its use at scale.

---

Web Scraper — The Complete Solution (But Technical) {#web-scraper}

Installation

Type "web scraper chrome extension" in the Chrome Web Store. The extension doesn’t always appear as the first result with just "web scraper" — add "chrome extension" to find it quickly.

Access via DevTools

Web Scraper is not used via an icon in the Chrome bar. It integrates into the development tools. Press F12 (or right-click → Inspect), then click on the "Web Scraper" tab.

The Sitemaps

Where Data Miner talks about recipes, Web Scraper talks about sitemaps. Click on "Create new sitemap", enter the starting URL (your Google Maps search), give it a name, and confirm.

Configuring the Link Selector

The goal: make Web Scraper automatically click on each listing in the list to extract the data.

Click on "Add new selector". Type: Link selector. Enter the CSS selector corresponding to the listing links in Google Maps. If you do "Element preview", you’ll see the number of detected listings increase with each manual scroll.

Check "Multiple" to extract all links, not just the first. Select "Read from href attribute". Save.

Extracting Data from Each Listing

Click on the link selector you just created. Now add the data selectors:

• Title: type Text, selector H1, not Multiple
• Phone: type Text, button[aria-label*="phone number"], not Multiple
• Website: type Text, a[aria-label*="website"], not Multiple

The same selectors as Data Miner work here, provided the interface is in French.

The Limit of Partial Scroll

This is the critical point of Web Scraper on Google Maps.

Web Scraper manages infinite scrolling via an "Element scroll" selector. But this selector only works for scrolls that apply to the entire page. However, Google Maps uses a partial scroll — only on the results column, not on the entire page.

Consequence: Web Scraper cannot automatically scroll the results list. You must scroll manually before starting the extraction. What you haven’t scrolled won’t be extracted.

Launching and Results

Set an interval (10,000 ms = 10 seconds recommended). Scroll manually through the list as much as possible. Start scraping via "Start scraping".

Web Scraper opens each listing in a tab, extracts the data, closes the tab, and moves to the next. Refresh the Web Scraper tab to see the results accumulate. Export via "Export data".

Verdict: the most complete tool of the three in theory, but the most complex to set up. The inability to manage partial scrolling automatically remains a major drawback specifically for Google Maps.

---

Summary of the Three Extensions {#summary}

Criterion	Instant Data Scraper	Data Miner	Web Scraper
Ease of Installation	★★★★★	★★★★☆	★★★★☆
Automatic Scroll	✅	❌	❌
Contact Data	❌	✅	✅
One-Step Workflow	✅	❌	✅
Cost	Free	Paid (crawl)	Free
Technical Complexity	Low	Medium	High

The conclusion is clear: none of these three extensions is specifically designed for Google Maps. They are general-purpose. They work, but with significant compromises — incomplete data, multi-step workflows, manual scrolling, reprocessing of exports.

The limit of 120 results per query applies to all, without exception. It’s a constraint imposed by Google, not by the extensions.

---

The Specialized Alternative: IBLead {#iblead}

Why a Dedicated Solution Changes Everything

Chrome extensions scrape Google Maps at the moment you start the extraction. They depend on what Google displays, in the order it displays it, with a maximum of 120 results per query.

IBLead works differently. The database is pre-indexed: 50M+ establishments in 37 countries, updated weekly. You search, filter, export — in minutes, without waiting for a scrape to run.

What You Get with IBLead

Each listing contains 50+ data fields: name, address, phone, email (enriched from the website), website, Google Maps category, average rating, number of reviews, social media, hours, GPS coordinates.

Two features are exclusive to IBLead:

Google Reviews: up to 500 reviews per listing, with full text, rating, date, and author. Useful for identifying establishments with a fragile e-reputation or for analyzing customer feedback in a sector.

Technology Detection: IBLead analyzes the website of each establishment and detects 160+ technologies — CMS (WordPress, Shopify, Wix), analytics tools, ad pixels, e-commerce solutions. You can target only restaurants that use Shopify, or real estate agencies without Google Analytics.

For the French market, IBLead adds automatic SIRET matching: name of the manager, SIRET, SIREN, APE code, legal form, date of establishment creation.

The Available Filters

From the IBLead interface, you filter by:

• City, postal code, region, or entire country
• Google Maps category
• Google rating (e.g., establishments between 3.5 and 4.2 stars)
• Minimum number of reviews
• Presence of an email
• Detected technologies on the website
• Claimed Google listing or not
• Type of number (mobile or landline)

You export in CSV. The file is then imported into your emailing tool (Lemlist, Instantly, etc.) or your CRM.

The Cost

€44 for 10,000 leads — or €0.004 per contact. No technical setup, no CSS selectors, no data reprocessing.

Your signup bonus 200 credits included (no card required).

free credits — 200 credits included

---

FAQ {#faq}

What is the limit of results on Google Maps?

Google Maps limits results to 120 establishments maximum per query. This limit applies to all Chrome extensions and all scraping tools. To bypass this limit, you need to multiply geographic queries (by neighborhood, by district) or use a pre-indexed database like IBLead that is not subject to this constraint.

How to extract emails from Google Maps?

Emails do not appear directly in Google Maps listings. They are found on the establishment's website. To obtain them, you either need to use an enrichment tool that automatically visits each website, or use a database like IBLead that has already performed this enrichment on 50M+ establishments.

Instant Data Scraper, Data Miner, or Web Scraper — which one to choose?

It depends on your goal. For a quick extraction of names and addresses, Instant Data Scraper is sufficient. To retrieve phone numbers and websites from detailed listings, Data Miner is more suitable despite its two-step workflow. Web Scraper offers the most flexibility but requires the most configuration — and does not automatically manage Google Maps' partial scroll.

Is it legal to scrape Google Maps?

Scraping public data is generally allowed under US and European legislation. However, you must comply with Google’s terms of service, GDPR for personal data (especially for emails), and not overload servers with excessive requests. Commercial use of the extracted data is possible in this framework, provided you process the data in accordance with applicable rules.

Can we scrape more than 120 results per Google Maps search?

Not directly from a single query. To exceed this limit with Chrome extensions, you need to break the geographic area into sub-areas (by neighborhood, by postal code) and multiply the extractions. Each extraction remains limited to 120 results. A pre-indexed database like IBLead does not have this constraint — you can export thousands of establishments from an entire city in a single operation.