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Scraper API
SOAX
World's largest proxy service with a residential proxy network of 72M IPs worldwide and proxy management interface for zero coding.
Which is more popular?
Based on our record, Bright Data seems to be more popular. It has been mentioned 45 times since March 2021.
Website, pricing, platforms and company facts side by side.
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 |
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|---|---|---|
| Website | brightdata.com | datamelt.org |
| Pricing | ||
| Platforms | — | |
| Company | 2021 | 2020 |
| Listed in |
In their own words, as submitted to SaaSHub.
No description of Bright Data yet.
DataMelt is a Java program for statistics, general data analysis and data visualization. The program is often termed "computational platform" since it can be used with different programming languages (Java, Python, Groovy..). DataMelt is not limited to a single programming language. The...
What each product offers, as listed by its team.
Possible disadvantages
An editorial look at what each product does well and who it suits.
Overall verdict
Why this product is good
Recommended for
No analysis of DataMelt yet.
Walkthroughs and reviews on video.
Rotating Residential Network | Proxy Network Types | Bright Data (Formerly Luminati Networks)
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How often each product is chosen within a category, 0–100% relative to the other.
As answered by people managing Bright Data and DataMelt.
DataMelt's answer:
students and data scientists
DataMelt's answer:
DataMelt has its roots in particle physics where data mining is a primary task. It was created as Software:jHepWork project in 2005 and it was initially written for data analysis for particle physics.
DataMelt's answer:
Multiplatform. Supports multiple programming languages: Java, Python (Jython), Groovy, Ruby
DataMelt's answer:
Large database of examples and code snippets https://datamelt.org/code/
DataMelt's answer:
Students at universities and data scientists.
DataMelt's answer:
Java (JDK any new new release including JDK20)
Share your experience with using Bright Data and DataMelt. For example, how are they different and which one is better?
External articles and on-site reviews we used to compare the two products.
It depends on the job. For turning known URLs into clean Markdown, a scraping API such as Spicrawl, Firecrawl or Jina Reader is the simplest. For crawling whole sites, Firecrawl, Crawl4AI, Context.dev and Apify follow...
And if there’s one thing that defines Bright Data in an industry where all gaps are closing, it’s the platform. We’ve criticized it for complexity and opaqueness; but after all these years, we have to admit that...
We used their DC proxies and Residential proxies. Resi proxies were having quite low success rate. We had to use resi solution from other proxy providers. Unblocker didn't work well either also it was way too...
I like this DataMelt analysis program since it has many 2D/3D visualisation and a massive number of practical examples
Recommendations tracked on public social media and blogs since March 2021.
Happy to offer a counter of some great products for anti-bot defeat: https://brightdata.com/ https://www.zenrows.com/ https://www.capsolver.com/ https://scrapfly.io/ hundreds of millions of residential ips, human browser fingerprints,... - Source: Hacker News / 4 months ago
The best web scraping tools 2026 leaderboard hasn't changed; the gap has narrowed. Bright Data remains the safest bet for any team that wants to spend time on the data, not on the scraping. The 660-scraper library, 400M-IP network,... - Source: dev.to / 6 months ago
Infrastructure Pass-Through (OpEx) Data extraction at scale is infrastructure-heavy. Bypassing modern Web Application Firewalls (WAFs) requires high-quality residential proxies, CAPTCHA solvers, and substantial browser-automation compute... - Source: dev.to / 7 months ago
Tracking DataMelt since Mar 2021.
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