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mlsql VS GMapsScraper

Compare mlsql VS GMapsScraper and see what are their differences

mlsql

Infer SQL queries from plain-text questions and table headers.

Rating
0 reviews
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Alternatives Is it good?
GMapsScraper

AI-powered Google Maps data extraction tool for B2B lead generation.Extract business names, phones, emails, and reviews from any location in seconds.

Rating
0 reviews
Pricing
Open source Free trial $19 / Monthly
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Alternatives Is it good?
Sales Blueprint Architect
Close More Business 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, mlsql seems to be more popular. It has been mentioned 2 times since March 2021.

social mentions
2 vs 0
Online Learning popularity
100% vs 0%
alternatives listed
1 vs 42

Base details

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

mlsql
GMapsScraper
Website github.com gmapsscraper.io
Pricing —
Open source Free trial $19 / Monthly Official pricing
Listed in
Education LMS Online Learning Web App +1
Lead Generation Web Scraping Sales Tools Sales Sales And Marketing Data Extraction +3

Features and specs

What each product offers, as listed by its team.

mlsql 0 features
GMapsScraper 5 features

No features have been listed yet.

  • Ease of Use
    GMapsScraper is designed with a user-friendly interface that allows users to quickly extract data from Google Maps without needing extensive technical knowledge or coding skills.
  • Time Efficiency
    The tool automates the process of collecting business information such as names, addresses, phone numbers, and reviews, saving users significant time compared to manual data collection.
  • Bulk Data Extraction
    Users can scrape large volumes of data from multiple locations or business categories simultaneously, making it useful for market research, lead generation, and competitive analysis.
  • Cost-Effective for Lead Generation
    For businesses seeking to generate leads or build contact lists, this tool can be more affordable than hiring someone to manually collect the same data or purchasing pre-made lists.
  • Customizable Search Parameters
    The scraper typically allows users to filter results by location, category, and other criteria, enabling more targeted data collection for specific business needs.

Possible disadvantages

  • Terms of Service Concerns
    Scraping data from Google Maps may violate Google's Terms of Service, which could result in account restrictions, IP bans, or other penalties for users of the tool.
  • Data Accuracy Issues
    Scraped data may become outdated quickly or contain inaccuracies, as business information on Google Maps can change frequently and scraping tools may not always capture the most current details.
  • Potential Legal Risks
    Depending on jurisdiction and how the scraped data is used, there may be legal risks related to data privacy laws and regulations concerning the collection and use of business or personal information.
  • Rate Limiting and Blocking
    Google may detect and block scraping activities, leading to CAPTCHAs, temporary bans, or reduced functionality, which can disrupt the scraping process and require workarounds.
  • Dependency on Third-Party Tool
    Relying on an external scraping service means users are dependent on the tool's continued operation, updates, and maintenance, which could be disrupted if Google changes its platform or the service shuts down.

Analysis

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

mlsql
GMapsScraper

Overall verdict

  • MLSQL is a solid open-source unified platform that blends SQL with machine learning, making data engineering and ML workflows accessible through a single, declarative language. It's a good choice for teams looking to streamline big data and ML pipelines without switching between multiple tools.

Why this product is good

  • It unifies data processing and machine learning under a single SQL-like syntax, lowering the learning curve for data teams.
  • Built on top of Apache Spark, it leverages a proven distributed computing engine for handling large-scale data.
  • Open-source and actively developed, allowing customization and community-driven improvements.
  • Supports the full ML lifecycle including data preprocessing, training, and deployment within one workflow.
  • Reduces the need to context-switch between separate ETL, analytics, and ML tools.

Recommended for

  • Data engineers and data scientists who prefer SQL-centric workflows
  • Teams working with big data on Apache Spark
  • Organizations wanting to unify ETL and machine learning pipelines
  • Companies seeking an open-source alternative to fragmented ML tooling
  • Analysts looking to build ML models without deep programming expertise

Overall verdict

  • GMapsScraper appears to be a niche tool designed for extracting business data from Google Maps, useful for lead generation and market research, though I don't have verified, up-to-date information confirming its current reliability, pricing fairness, or compliance status.

Why this product is good

  • Automates extraction of business names, addresses, phone numbers, and reviews from Google Maps
  • Can save significant time compared to manual data collection
  • Useful for building targeted lead lists for sales and marketing outreach
  • May offer filtering by location, category, or keyword to refine results

Recommended for

  • Sales teams needing local business leads
  • Digital marketing agencies conducting market research
  • Small business owners researching competitors
  • Freelancers or researchers compiling business directories

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
mlsql
GMapsScraper
100% 100%
Online Learning
0% 0%
0% 0%
Lead Generation
100% 100%
100% 100%
Web App
0% 0%
0% 0%
Web Scraping
100% 100%

Questions & Answers

As answered by people managing mlsql and GMapsScraper.

What makes your product unique?

GMapsScraper's answer:

GMapsScraper combines AI-powered data extraction with a no-code interface, making Google Maps lead generation accessible to non-technical users. Unlike traditional scraping tools that require coding or complex setup, users get results in 30 seconds with one click.

Why should a person choose your product over its competitors?

GMapsScraper's answer:

Three reasons: speed, simplicity, and cost. Most competitors either require technical skills, charge per-record fees, or limit data fields. GMapsScraper extracts 200+ leads with full contact data per search, exports to CSV instantly, and offers a free trial with no credit card required.

How would you describe the primary audience of your product?

GMapsScraper's answer:

B2B sales teams, marketing agencies, and freelance lead generators who need local business contact data for cold outreach, market research, or client prospecting campaigns.

What's the story behind your product?

GMapsScraper's answer:

Built out of frustration with spending hours manually copying business data from Google Maps into spreadsheets. What started as an internal tool for a marketing agency became a full product when other teams asked to use it.

Which are the primary technologies used for building your product?

GMapsScraper's answer:

Next.js, Cloudflare Workers, Supabase, Google Cloud Run, and AI-powered data processing pipelines for extraction and enrichment.

Who are some of the biggest customers of your product?

GMapsScraper's answer:

  • Digital marketing agencies running local outreach campaigns
    • Real estate firms sourcing property management contacts
    • SaaS sales teams building prospect lists by region
    • Recruitment agencies finding companies in specific industries

User comments

Share your experience with using mlsql and GMapsScraper. For example, how are they different and which one is better?

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Social recommendations and mentions

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

mlsql 2 mentions
GMapsScraper 0 mentions
  • Download the files from Docker Container and locally edit them
    I am working on a project that requires me to take user input (as English) and return SQL queries. We will eventually be working with multiple datasets, which is why the valuenet over at https://github.com/paulfitz/mlsql ended up being... Source: over 4 years ago
  • Clone and edit Docker Projects hosted on Github
    I found this great resource here: https://github.com/paulfitz/mlsql. Source: almost 5 years ago

Tracking GMapsScraper since May 2026.

Alternatives to mlsql and GMapsScraper

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