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

Google Cloud Machine Learning 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 / 6 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 / 2 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

Google Cloud Machine Learning mentions (41)

• Google Just Declared the Chat-Log Interface Dead. Here's What Neural Expressive Actually Signals for Developers.

  For developers building on Gemini API or Vertex AI, the practical question is whether Google exposes the rendering signals that power Neural Expressive at the API level - structured output types, response format hints, media embedding signals - so that third-party applications can build the same adaptive rendering behavior rather than always falling back to raw text. That API surface isn't publicly documented yet,... - Source: dev.to / about 2 months ago

• Google Just Split Its TPU Into Two Chips. Here's What That Actually Signals About the Agentic Era.

  TPU 8t and TPU 8i will be available to Cloud customers later in 2026. You can request more information now to prepare for their general availability. The chips are integrated into Google's AI Hypercomputer stack, supporting JAX, PyTorch, vLLM, and XLA. Deployment options range from Vertex AI managed services to GKE for teams that want infrastructure-level control. - Source: dev.to / 3 months ago

• Best ChatGPT Alternatives in 2026: Evaluated on Automation, Persistence, and Data Ownership

  Across the five axes, automation depth is functional via API tool-calling. Session persistence is absent outside the Vertex AI ecosystem. Data residency introduces real exposure for regulated workloads. The standard Gemini API routes data through Google's shared infrastructure, and Google's data usage policies may use API inputs for service improvement unless you're under an enterprise agreement with explicit data... - Source: dev.to / 3 months ago

• Automating Zero-Day Discovery in Windows Kernel Drivers with LangChain DeepAgents

  The survivors get sent to Gemini 2.5 Pro on Vertex AI. DeepZero Pipeline Source Code - Contains the Python-based triager, Ghidra extractor script, Semgrep rules, and the LangChain DeepAgents reasoning loop. - Source: dev.to / 3 months ago

• JavaScript Awesome Package

  VertexAI - Innovate faster with enterprise-ready generative AI. - Source: dev.to / 6 months ago