Urgent.News

What's breaking now, across thousands of outlets.

Tech

We Tested 82 Residential Proxy Providers Across 142,310 Real-World Requests: October 2026 Report

Last month we published the September edition with 80 providers and 115,192 requests. The October edition is out: 82 providers, 6 targets, 142,310 requests , collected from Oct 1 to Oct 31, 2026 (all dates in this post are UTC). Two changes affect how you read it. We changed the order in which providers are tested partway through the month, and Google and Amazon results are much higher than in…

In October 2026, a comprehensive report analyzed 82 residential proxy providers through 142,310 real-world requests spanning six targets over a one-month period. The report revealed that two significant changes occurred during the testing period: an alteration in the order of provider testing and unexpected improvements in Google and Amazon's performance metrics.

Overall, the average success rate across all providers rose by 4.0 percentage points from 91.5% in September to 91.5% in October, while the average latency increased by just 0.12 seconds. However, the report's analysis highlighted notable differences in performance across various targets. For instance, providers faced substantially more challenges when accessing Google and Amazon compared to other targets, with success rates dropping to 88.3% and 70.9% respectively.

The variation in performance was substantial, with a 27.5-point spread between the most and least successful targets. This discrepancy emphasized the importance of testing against specific targets rather than relying solely on generic connectivity checks. The report further noted that Amazon's performance was particularly volatile, with success rates falling below 90% on several days, including specific days when almost all providers encountered blockages.

Additionally, the top 10 providers exhibited a highly competitive landscape, with only a 1.3-point gap between the highest and lowest performers. However, the report cautioned against solely relying on headline numbers, recommending that readers consider provider request counts alongside success rates to gain a more accurate understanding of performance. For example, a 97% success rate based on only 300 requests is less reliable than a 95% rate based on 1,860 requests.

The report concluded by discussing instances of provider outages and incidents, which were logged and reflected in the rankings, underscoring the need for robust retry mechanisms and backoff strategies to ensure uninterrupted service. New providers, such as B2Proxy and Geekproxy, joined the testing this month, while some, including 711Proxy and Anonymous Proxies, exited the testing.

Written by urgent.news from Dev.to's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

Read the original at dev.to →

More in Tech

A Pre-Flight Checklist Before You Burn STT Credits on a Long Video

Disclosure: I build ClipShrink , including the cloud Video to Text tool. For device-picked files, compress/trim can run as browser-local encoding; transcription is Freemium cloud work with an account…

  • Trim recording to focus on needed speech
  • Remove ASR killers like heavy music, overlapping voices
  • Use original clear audio files for accurate transcripts

Drupal Warns of Critical Commerce Core Flaw Exploited

Drupal has told admins to patch CVE-2026-118539 in the Commerce Core module right away, because attackers are already exploiting it.

  • Drupal issues critical advisory on Commerce Core security flaw
  • Attackers can exploit vulnerability without authentication
  • Module used by over 42,000 websites including Fortune 500 firms

Test your password-reset email end to end in GitHub Actions

A password reset touches four things: the form, the email, the link in it and the page the link opens. Tests usually mock the email, and that hides what breaks most often: the wrong host in the link…

  • Password reset involves four components: form, email, link, and page
  • Traditional testing mocks email, leading to issues like expired tokens
  • GitHub Actions tests real email via temporary inbox, Email Blackhole

I Built a Python Bot That Types at 200 WPM. Then I Made It Type Like a Human.

Automating a typing test is easy. Making a machine type like someone who actually makes mistakes? That's where things get interesting. A few days ago, I had a ridiculous thought.

  • Author builds Python bot to type faster than anyone else
  • Bot initially types at consistent speed, uninteresting
  • Author introduces randomness to mimic human typing behavior

More from Monday 2 November →