SocketCluster Reviews

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

SocketCluster mentions (16)

• Flat Datacenter Networks at Scale

  This is basically the principle behind https://socketcluster.io/ scalability; the sharding of channels across available brokers is pseudo-random. It uses a hash function for determinism but the distribution looks essentially random. - Source: Hacker News / 2 months ago

• Doing Something That's Never Been Done Before

  I started building something pretty obscure about 14 years ago; https://socketcluster.io/ an open source, WebSocket-based RPC + pub/sub library with a focus on in-order async stream-processing with backpressure monitoring. It didn't start out like that. Initially, it was just another WebSocket library with a focus on making it easier to scale to multiple processes. It's kind of mind-bending to me though that it... - Source: Hacker News / 2 months ago

• Backpressure is all you need

  I've been advocating for this approach for years. You can't avoid race conditions without using some kind of queueing mechanism and you need backpressure to measure queue capacity. I built this into every aspect of https://socketcluster.io/ - From pub/sub channels, RPCs to event listeners. - Source: Hacker News / 3 months ago

• SQL: Incorrect by Construction

  It's interesting reading this. Preventing these kinds of concurrency issues is exactly why I built https://socketcluster.io years ago. Though it solves the problem at the app layer rather than the storage layer. But not many developers care about these race conditions it seems. It's not just an issue with SQL but a more general issue with coding. This is a great example because it shows how concurrent executions... - Source: Hacker News / 3 months ago

• We deserve a better streams API for JavaScript

  Https://socketcluster.io/ has had such stream implementation and backpressure management since at least 2019;. https://github.com/SocketCluster/writable-consumable-stream. - Source: Hacker News / 6 months ago

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 1 month 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 / 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 / 5 months ago