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Scrap.io VS mlsql

Compare Scrap.io VS mlsql and see what are their differences

Scrap.io

Scrap.io allows you to scrap Google Maps, get their email, and download leads into a CSV/Excel file. We also provide an API that responds very fast to interact with Google Maps data.

Rating
0 reviews
Pricing
Paid Free trial $49 / Monthly (Basic plan)
Alternatives Is it good?
mlsql

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

Rating
0 reviews
Alternatives Is it good?
VisualVisitor
Consent-Based Identification of the Person Visiting Your Website Including First Name, Last Name, Email & 37 Other Data Points. Identify and Influence Your Engaged Website Visitors into Sales-Ready Leads – Before You Commit a Single Working Hour. 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?

mlsql might be a bit more popular than Scrap.io. We know about 2 links to it since March 2021 and only 2 links to Scrap.io.

social mentions
2 vs 2
Lead Generation popularity
100% vs 0%
alternatives listed
134 vs 1

Base details

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

Scrap.io
mlsql
Website scrap.io github.com
Pricing
Paid Free trial $49 / Monthly (Basic plan)
—
Platforms
Browser
—
Company 2021 —
Listed in
Lead Generation Web Scraping Data Extraction Scraper +1
Education LMS Online Learning Web App +1

Features and specs

What each product offers, as listed by its team.

Scrap.io 4 features
mlsql 0 features
  • Google Maps Scraping
  • API
  • Search by city
  • Search on whole country

No features have been listed yet.

Analysis

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

Scrap.io
mlsql

No analysis of Scrap.io yet.

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

Videos

Walkthroughs and reviews on video.

Scrap.io 2 videos + Add
mlsql 0 videos + Add

Scrap.io: Product Tour

More videos

  • - Scrap.io : nouveautés du 1er novembre 2021

No mlsql videos yet. You could help us improve this page by suggesting one.

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
Scrap.io
mlsql
100% 100%
Lead Generation
0% 0%
0% 0%
LMS
100% 100%
100% 100%
Data Extraction
0% 0%
0% 0%
Web App
100% 100%

User comments

Share your experience with using Scrap.io and mlsql. 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.

Scrap.io 2 mentions
mlsql 2 mentions
  • Google Maps API vs Limits
    I created https://scrap.io if you want a cheaper alternative. Source: over 3 years ago
  • [Hiring] Scrape Google Maps For Businesses Without A Website
    You can check https://scrap.io which can do precisely what you are looking to do. Source: over 3 years ago
  • 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

Alternatives to Scrap.io and mlsql

When comparing Scrap.io and mlsql, you can also consider the following products.

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