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

RetypeApp 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

RetypeApp mentions (9)

• Ditching Obsidian and building my own

  If you need an option to publish your notes online, check out Retype (https://retype.com). You can use Obsidian or GitBook or any Markdown files as your GUI editor and generate a static website using Retype. - Source: Hacker News / over 1 year ago

• How to turn a folder of markdown docs into a structured docs section in an app?

  Outside of Swift, I use RetypeApp and they have a lot of inbuilt functionality. You can then generate your output directory on build, and use those HTML files as is. Source: almost 4 years ago

• Pushing for quality UX as an influence role

  You can build pretty beautiful docs with: - https://retype.com - https://docusaurus.io - https://www.intercom.com/articles. Source: almost 4 years ago

• GitLab Wiki or Other self-hosted wiki for Documentation

  Retype is the nicest one I’ve come across in my search! Has a built in table of contents, pretty easy to create (entirely using markdown) and great support for emojis, math, containers, multi tab info panels, and proper dropdown panels. Source: about 4 years ago

• Help setting up GitHub site

  Are you aiming at creating something like this? With a bar on the left with folders? Source: over 4 years ago