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

changedetection.io 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

changedetection.io mentions (50)

• Google have removed RSS support from their developer blogs

  I use ChangeDetection, - https://changedetection.io/#features - https://github.com/dgtlmoon/changedetection.io. - Source: Hacker News / over 2 years ago

• It's this time of the year again... which open-source project are you donating to?

  Changedetection.io just donated to the awesome crew over at ntfy.sh. Source: over 2 years ago

• Tell me your most exotic selfhosted solution, the crazier, the better, no 0815 solutions!

  I used a business to business website that lists every single company in this industry by location and has a link for each to generate a list of companys and URLS. I monitor this for changes with changedetection.io. Source: almost 3 years ago

• 0.45.8 is out! new release :)

  0.45.8 is out! Support for xPath2.0/3.0 means you can use logic in your selectors (for example, give the count of the number of divs that contain certain text, and much more). UI improvements, Selectable browser (plug it into Bright Data's scraping browser!) and more, check it out! Much ❤ from the changedetection team. https://github.com/dgtlmoon/changedetection.io / changedetection.io. Source: almost 3 years ago

• free alternative for changedetection.io

  Hello, Is there a free alternative to this website changedetection.io ? Source: almost 3 years ago