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GMapsScraper.AI VS assertpy

Compare GMapsScraper.AI VS assertpy and see what are their differences

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GMapsScraper.AI logo GMapsScraper.AI

Scrape Google Maps for business names, phones, emails, reviews and social links. Export to CSV & JSON. Free 1,000 credits/month.

assertpy logo assertpy

A straightforward assertion library for Python.
  • GMapsScraper.AI
    Image date //
    2026-04-14

GMapsScraper.AI is a cloud-based Google Maps data extractor that collects business information from Google Maps search results at scale.

The tool runs entirely on cloud servers. You enter search keywords in batches (for example, "coffee shop in Brooklyn" or "law firm in Sydney"), and the platform processes them in parallel. Each listing returns 39+ structured data fields: business name, full address, phone number, email, website, Google rating, review count, opening hours, and social media profiles. You can set the language and location for each task to target specific regions.

Results come back as CSV or JSON files that work with CRM systems, email outreach tools, and spreadsheets. No browser extension to install, no desktop software to run.

The platform supports up to 100 keywords per task and 5 concurrent tasks on higher plans. It also has a resume feature, so interrupted tasks pick up where they left off.

Who uses it: B2B sales teams building prospect lists from local business listings. Marketing agencies are pulling competitor data for clients in specific cities. SEO consultants are collecting business data for citation building and local pack analysis. Freelance researchers gathering location-based datasets.

Free accounts get 1,000 credits per month (1 credit = 1 business listing). Paid plans start at $29/month with 50,000 credits.

  • assertpy Landing page
    Landing page //
    2022-11-06

GMapsScraper.AI

$ Details
freemium $29 / Monthly (50,000 credits / month)
Release Date
2026 March

assertpy

Website
github.com
Pricing URL
-
$ Details
-
Release Date
-
Categories

GMapsScraper.AI features and specs

  • Real-Time Google Maps Lead Extraction
    Extract up-to-date business leads directly from Google Maps search results, including emails, phone numbers, and detailed listing data.
  • Fully Cloud-Based, No Installation Required
    Run all scraping tasks online without installing any browser extensions or desktop softwareโ€”just enter keywords and start.
  • Flexible Data Export Options
    Download structured results in CSV or JSON formats, ready for CRM systems, spreadsheets, or outreach tools.

assertpy features and specs

  • Fluent API
    Assertpy offers a fluent API that makes assertions more readable and expressive, enabling developers to write assertions in a natural language style that is easy to understand.
  • Chainable Assertions
    It allows for chainable assertions, enabling multiple checks to be performed in a single line of code, thereby reducing verbosity and enhancing clarity.
  • Comprehensive Assertion Methods
    The library provides a wide range of built-in assertion methods, catering to various types of data validations, such as checking for size, type, value, and more.
  • Extensibility
    Assertpy supports extending its functionality by defining custom assertions, allowing developers to tailor it to their specific needs.
  • Pythonic
    Designed with Pythonic principles in mind, Assertpy fits seamlessly into Python projects, enabling idiomatic and consistent code style.

Possible disadvantages of assertpy

  • Learning Curve
    Developers new to the library may encounter a learning curve due to the distinct approach of using fluent and chainable assertions as opposed to traditional methods.
  • Limited by Python Version
    The library may have limitations in terms of compatibility with older versions of Python, requiring users to ensure their environment is up-to-date.
  • Performance Overhead
    The additional abstraction layer introduced by a fluent interface might introduce some performance overhead, especially in performance-critical or resource-constrained environments.
  • Less Community Support
    Compared to more established testing libraries, Assertpy might have less community support and fewer resources available for resolving issues or getting help.
  • Dependency Management
    Using a third-party library introduces additional dependencies to manage, which could complicate project maintenance and compatibility.

Analysis of GMapsScraper.AI

Overall verdict

  • GMapsScraper.AI appears to be a solid tool for extracting business data from Google Maps, offering automation and structured outputs that save significant time for those needing local business leads and market data.

Why this product is good

  • Automates the tedious process of manually collecting business listings from Google Maps
  • Extracts key data points like business names, addresses, phone numbers, websites, ratings, and reviews
  • AI-powered features can help clean and organize scraped data for immediate use
  • Exports results into usable formats like CSV or Excel for easy integration into CRMs and marketing tools
  • Can gather large volumes of local business leads quickly for outreach campaigns

Recommended for

  • Sales teams and lead generation specialists seeking local business contacts
  • Digital marketing agencies building prospect lists for outreach
  • Small businesses researching competitors and local markets
  • Market researchers analyzing business density and trends in specific areas
  • Entrepreneurs validating business ideas by studying local market data

Analysis of assertpy

Overall verdict

  • assertpy is a well-regarded, lightweight assertion library for Python that provides a fluent, chainable API for writing readable and expressive test assertions, making it a solid choice for improving test clarity.

Why this product is good

  • Offers a fluent, chainable assertion syntax that makes tests more readable and self-documenting
  • Comprehensive built-in assertions for strings, numbers, lists, dicts, files, dates, and more
  • Produces clear, descriptive failure messages that speed up debugging
  • Lightweight with minimal dependencies and easy to integrate into existing test suites
  • Framework-agnostic, working seamlessly with pytest, unittest, and other test runners
  • Actively maintained open-source project with good documentation and community support

Recommended for

  • Python developers who want more readable and expressive test assertions
  • Teams using pytest or unittest looking to enhance assertion clarity
  • Projects that value descriptive failure messages for faster debugging
  • Developers coming from fluent assertion libraries in other languages (like AssertJ or Chai)
  • QA engineers and testers writing maintainable, self-documenting test code

Category Popularity

0-100% (relative to GMapsScraper.AI and assertpy)
Web Scraping
100 100%
0% 0
Testing
0 0%
100% 100
Lead Generation
100 100%
0% 0
Python
0 0%
100% 100

Questions & Answers

As answered by people managing GMapsScraper.AI and assertpy.

What makes your product unique?

GMapsScraper.AI's answer

GMapsScraper.AI runs entirely in the cloud, enabling fast, large-scale Google Maps data extraction without browser extensions or local setup.

Why should a person choose your product over its competitors?

GMapsScraper.AI's answer

It offers more stable and scalable scraping through cloud processing, supports bulk keyword tasks, and returns rich datasets (39+ fields) ready for CRM and outreach workflows.

How would you describe the primary audience of your product?

GMapsScraper.AI's answer

B2B sales teams, marketing agencies, and SEO professionals who need scalable access to local business data for lead generation and research.

User comments

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What are some alternatives?

When comparing GMapsScraper.AI and assertpy, you can also consider the following products

GMaps-Extractor.com - Extract business leads from Google Maps instantly! Get emails, phone numbers, addresses, and social media profiles for restaurants, hotels, and local businesses. Download CSV/Excel files. Start your free trial today!

grappa - grappa is an declarative, verbose, and expressive assertion library for Python.

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.

Outscraper - Scrape Google Maps Places, Business Reviews, Photos, Play Market Reviews, and more. Get any public data from the internet by applying cutting-edge technologies. Web Tools & API's.

Gmap Leads Generator - GMap Leads Generator is an online browser tool that will help you get more clients from Google Maps.

Google Maps Scraper by Outscraper - Google Maps Scraper allows you to export all businesses from Google Maps into a CSV/Excel file.