Bright Data
Oxylabs
Decodo
NetNut.io
IPRoyal
Apify
Zyte
SOAX
Captain Stack
GitHub Copilot
Tabnine
Amazon CodeWhisperer
Visual Studio IntelliCode
Codeium
GPT-Code-Clippy
Kite
Bright Data Captain StackWe 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 expensive.
Based on our record, Bright Data seems to be a lot more popular than Captain Stack. While we know about 45 links to Bright Data, we've tracked only 2 mentions of Captain Stack. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
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, custom browser binaries, auto solve of turnstyle, recaptcha v3, kasada, datadome, AWS WAF, etc if they come up. - Source: Hacker News / 7 days 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, pay-per-success pricing and unlimited concurrency are still uncontested at the high end. - Source: dev.to / 3 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 resources. Services like Bright Data charge significantly by the gigabyte for premium residential IPs. These variable infrastructure costs must be passed directly to the client,... - Source: dev.to / 3 months ago
Bright Data has successfully defended web scraping in U.S. Courts and offers LinkedIn datasets pre-collected and ready to download. LinkedIn profile data on their dataset marketplace runs around $250 per 100,000 records. The freshness caveat is real: bulk datasets are snapshots, not real-time. If you need current job titles on a rolling basis, you're better with an enrichment API than a one-time dataset pull.... - Source: dev.to / 3 months ago
Bright Data built an open-source demo that solves this. It's called the Signal Terminal, a financial research tool built around that problem. - Source: dev.to / 5 months ago
I caught up with Hieu Nguyen (@hieunc) of ishim, Rebit, Captain Stack, and more. He told me exactly how he made his first sale for ishim within five days of kicking off development, and another $1K+ within a month. Source: about 3 years ago
In fact, many have pointed out that Copilotโs process of looking up code based on its expected constraints is similar to one that a developer might experience by searching StackOverflow for code snippets. Funnily, some thought the idea so similar they decided to build an alternative VSCode plugin to Copilot that simply looks up StackOverflow answers as suggestions. - Source: dev.to / over 4 years ago
Oxylabs - A web intelligence collection platform and premium proxy provider, enabling companies of all sizes to utilize the power of big data.
GitHub Copilot - Your AI pair programmer. With GitHub Copilot, get suggestions for whole lines or entire functions right inside your editor.
Decodo - Decodo is perhaps the most user-friendly way to access local data anywhere. It has global coverage with 195 locations, offers more than 55M residential proxies worldwide and a great deal of scraping solutions.
Tabnine - TabNine is the all-language autocompleter. We use deep learning to help you write code faster.
NetNut.io - Residential proxy network with 52M+ IPs worldwide. SERP API, Website Unblocker, Professional Datasets.
Amazon CodeWhisperer - Amazon CodeWhisperer is a machine learning (ML)โpowered service that helps improve developer productivity by generating code recommendations based on their comments in natural language and code in the integrated development environment (IDE).