Software Alternatives & Startups
Register | Login

G Maps Extractor VS Gitql

Compare G Maps Extractor VS Gitql and see what are their differences

GME
G Maps Extractor

A scraping tool for business leads, one click to extract data from Google Maps search results and export to csv file, includes phone number, email address and social media profiles.

No screenshot yet
Rating
0 reviews
Alternatives Is it good?
Gitql

Git query language, for quickly searching git contents.

Rating
0 reviews
Alternatives Is it good?
LeadExec
AI-powered lead distribution software for lead sellers, ping/post marketplaces, and enterprise teams managing real-time routing, buyer management, compliance, and scalable lead delivery. sponsored
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Which is more popular?

Based on our record, Gitql seems to be more popular. It has been mentioned 1 time since March 2021.

social mentions
0 vs 1
Lead Generation popularity
100% vs 0%

Base details

Website, pricing, platforms and company facts side by side.

GME
G Maps Extractor
Gitql
Website gmapsextractor.com github.com
Pricing
Official pricing
—
Listed in
Sales Lead Generation Maps Data Extraction Browser Extensions +2
Git Development Programming Language Code Collaboration +1

Features and specs

What each product offers, as listed by its team.

GME
G Maps Extractor 5 features
Gitql 0 features
  • Bulk Data Extraction
    G Maps Extractor allows users to extract large volumes of business data from Google Maps efficiently, including business names, addresses, phone numbers, emails, websites, ratings, and reviews, saving significant manual research time.
  • Easy to Use
    The tool is designed with a straightforward interface that doesn't require advanced technical skills or coding knowledge, making it accessible to marketers, sales teams, and small business owners who need lead generation data.
  • Export Options
    Extracted data can be exported in common formats such as CSV and Excel, making it easy to integrate the collected information into CRMs, spreadsheets, and other business tools for further processing.
  • Time-Saving for Lead Generation
    Instead of manually searching and copying business information from Google Maps one by one, the tool automates the entire process, dramatically reducing the time needed for prospecting and lead list building.
  • Search Filtering Capabilities
    Users can search and extract data based on specific keywords, locations, and business categories, allowing for targeted data collection that matches specific business needs and geographic areas of interest.

Possible disadvantages

  • Google Terms of Service Concerns
    Scraping data from Google Maps may violate Google's Terms of Service, which could lead to potential legal issues or account restrictions. Users should be aware of the legal and ethical implications of automated data extraction.
  • Data Accuracy Issues
    Extracted data may not always be up-to-date or accurate, as Google Maps listings can contain outdated phone numbers, incorrect addresses, or incomplete business information that hasn't been verified or updated by business owners.
  • Limited Free Version
    The free tier or trial version typically has significant limitations on the number of records that can be extracted, requiring users to purchase a paid plan to access meaningful volumes of data for serious business use.
  • Potential for IP Blocking
    Excessive or aggressive scraping can trigger Google's anti-bot measures, potentially leading to IP blocks, CAPTCHA challenges, or temporary restrictions that interrupt the extraction process and reduce reliability.
  • Privacy and Compliance Risks
    Using extracted contact data for cold outreach or marketing purposes may conflict with data privacy regulations such as GDPR or CAN-SPAM, putting users at risk of non-compliance if the data is not handled properly.

No features have been listed yet.

Analysis

An editorial look at what each product does well and who it suits.

GME
G Maps Extractor
Gitql

Overall verdict

  • G Maps Extractor is a solid, cost-effective tool for extracting business data from Google Maps, offering fast bulk scraping and reliable exports for lead generation and market research.

Why this product is good

  • Extracts detailed business data such as names, addresses, phone numbers, websites, ratings, and reviews directly from Google Maps
  • Supports bulk scraping, allowing users to gather large volumes of leads quickly and efficiently
  • Offers convenient export options like CSV and Excel for easy integration into CRMs and marketing workflows
  • Typically more affordable than many competing scraping tools, making it accessible for small businesses
  • User-friendly interface that requires little to no coding knowledge to get started

Recommended for

  • Sales and lead generation teams building prospect lists
  • Digital marketing agencies conducting local business outreach
  • Small business owners researching competitors and local markets
  • Freelancers and consultants needing quick access to business contact data
  • Market researchers gathering location-based business insights

Overall verdict

  • GitQL is a solid choice for developers who want to query Git repository data using SQL-like syntax, offering a fast and intuitive way to analyze commits, branches, and repository metadata without learning a new query language, though it's a specialized tool best suited for specific use cases rather than general-purpose development.

Why this product is good

  • Allows querying Git repositories using familiar SQL syntax, reducing the learning curve
  • Open-source and actively maintained on GitHub with community contributions
  • Written in a performant language (often Rust or Go depending on version), making queries fast even on large repositories
  • Useful for extracting insights like commit history, contributor stats, and branch information
  • Lightweight and focused tool that does one thing well rather than trying to be a bloated all-in-one solution
  • Cross-platform compatibility for use across different operating systems

Recommended for

  • Developers who want to analyze Git repository data without writing custom scripts
  • Data analysts or engineers who prefer SQL syntax for querying non-traditional data sources
  • Teams needing quick insights into commit patterns, contributor activity, or repository structure
  • DevOps engineers automating repository audits or reporting
  • Open-source enthusiasts comfortable with command-line tools
  • Users who need a lightweight alternative to complex Git analytics platforms

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
GME
G Maps Extractor
Gitql
100% 100%
Lead Generation
0% 0%
0% 0%
Git
100% 100%
100% 100%
Web Scraping
0% 0%
0% 0%
Development
100% 100%

User comments

Share your experience with using G Maps Extractor and Gitql. For example, how are they different and which one is better?

Log in or Post with

Social recommendations and mentions

Recommendations tracked on public social media and blogs since March 2021.

GME
G Maps Extractor 0 mentions
Gitql 1 mention

Tracking G Maps Extractor since Dec 2025.

  • GQL: A Query language for .git files written in Rust
    How does this compare to https://github.com/filhodanuvem/gitql. Source: over 3 years ago

Alternatives to G Maps Extractor and Gitql

When comparing G Maps Extractor and Gitql, you can also consider the following products.

Loading...