Bright Data Reviews

1. Sam Mitchell

   · Owner at KittenProperties · over 2 years ago
   Mixed feelings

   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 expensive.

   Competitors: Decodo, NetNut.io

   Pros:    Cheap dc proxies

   Cons:    Quite expensive|Residential proxies are worse than competitiors

DrapCode Reviews

Bright Data mentions (45)

• Precursor

  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 / about 2 months ago

• Best Web Scraping Tools in 2026: A Hands-On Comparison of the Top 10

  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 / 4 months ago

• The Economics of Web Scraping: How Consultancies Price Data Extraction and Manage Scope Creep

  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 / 4 months ago

• LinkedIn Scraping Is Dead: 5 Legal, ToS-Safe Alternatives That Actually Work in 2026

  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 / 4 months ago

• Building a Live AI Market Research Terminal: How Bright Data and Convex Replace Polling With Real-Time Everything

  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 / 6 months ago

DrapCode mentions (49)

• Which no-code builder? (I'm frustrated 🥴 & need advise)

  This can easily be done on DrapCode https://drapcode.com and under 20K, meeting all the requirements which you have. Source: over 2 years ago

• No frontend skills - need for large database - what app builder to choose?

  Take a look at DrapCode as it is good for building external public facing web apps, with very good SEO capabilities as all the pages are generated server side. Source: over 3 years ago

• Bubble Price Changes Will Kill Us - Looking for Alternatives

  You can try using https://drapcode.com as you can easily build backend and frontend both on it and fits within your budget. Source: over 3 years ago

• Discussion Around Bubble Pricing Changes

  • Drapcode (https://drapcode.com/) - Drapcode enables you to create web applications with drag and drop components. The platform comes with a library of components and has integrations with popular services such as Twilio, AWS and Shopify. Source: over 3 years ago

• no code web-app for charts/dashboard without vendor lock-in

  You can do it easily on DrapCode and you always have the option to export the source code and avoid vendor lock-in. Source: over 3 years ago