
ScrapIn
Databar.ai
Apify
Bright Data
ScrapingBee
ScrapingDuck
Abstract APIs
Swiss army knife for high-performance web scraping

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

Which is more popular?
Based on our record, mlsql seems to be more popular. It has been mentioned 2 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | scrapeninja.net | github.com |
| Company | 2021 | — |
| Listed in |
In their own words, as submitted to SaaSHub.


ScrapeNinja is a web scraping API which handles headless browsers, proxies, timeouts, retries, and helps with data extraction, so you can just get the data in JSON.
No description of mlsql yet.
An editorial look at what each product does well and who it suits.


No analysis of ScrapeNinja yet.
Overall verdict
Why this product is good
Recommended for
Walkthroughs and reviews on video.
Native RapidAPI ScrapeNinja module on Make
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How often each product is chosen within a category, 0–100% relative to the other.


Share your experience with using ScrapeNinja and mlsql. For example, how are they different and which one is better?
Recommendations tracked on public social media and blogs since March 2021.


Tracking ScrapeNinja since Mar 2023.
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
I found this great resource here: https://github.com/paulfitz/mlsql. Source: almost 5 years ago
When comparing ScrapeNinja and mlsql, you can also consider the following products.




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World's largest proxy service with a residential proxy network of 72M IPs worldwide and proxy management interface for zero coding.
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ScrapingBee is a Web Scraping API that handles proxies and Headless browser for you, so you can focus on extracting the data you want, and nothing else.
Compare ScrapingBee to ScrapeNinja or mlsql: