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

AppSheet 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 / 22 days 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 / 3 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 / 3 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 / 3 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 / 5 months ago

AppSheet mentions (20)

• AI agents are starting to eat SaaS

  Agree. Lack of something as accessible and useful as Access is a major hole. AppSheet comes close: https://about.appsheet.com/home/. - Source: Hacker News / 8 months ago

• Show HN: I made an app that consolidated 18 apps (doc, sheet, form, site, chat)

  Unrelated but I didn't knew Google AppSheet[1] existed before seeing it on that pricing page. Interesting. >The fastest way to build apps and automate work >With Google AppSheet, you can build powerful solutions that simplify work. No coding required. [1] https://about.appsheet.com/home/. - Source: Hacker News / over 2 years ago

• Seeking Advice on Firebase Integration for my startup

  Just use something like AppSheet https://about.appsheet.com/home/. Source: over 2 years ago

• Help with tooling for a business workflow

  I built an AppSheet (low-code app builder) app that will automatically send an email to a salesperson in the company. The email includes information about a piece of equipment that's been offered for sale. Information includes mostly text fields, but also URLs to images hosted on Google Drive. Source: over 2 years ago

• Best app dev software (no-code)

  Google has https://about.appsheet.com/home/ which is a no-code dev platform. Source: about 3 years ago