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Testinel.dev's answer:
Choose Testinel if you want to understand and fix automated test failuresโnot replace your existing testing tools. Its lightweight pytest integration works locally and with virtually any CI system, without proprietary test runners, log scraping, or brittle CI workarounds. Teams get searchable test history, failure grouping, logs, artifacts, trends, and code-level context in one place, with a free plan available for individual users.
Testinel.dev's answer:
Testinel is primarily built with Python and Django. Its official integration is a Python plugin for pytest, with first-class support for Selenium and Playwright test suites. Testinel works with local test runs and CI/CD platforms such as GitHub Actions, Bitbucket Pipelines, Azure Pipelines, Jenkins, and Woodpecker CI.
Testinel.dev's answer:
Testinel turns raw automated test results into actionable failure intelligence. Instead of making teams dig through CI logs and separate reports, it captures structured data directly from pytest, groups recurring failures, identifies likely root causes, highlights flaky tests, and provides clear context for fixing them. Testinel works with the test stack teams already use, including Python, pytest, Selenium, and Playwright.
Testinel.dev's answer:
Testinel is designed for QA automation engineers, SDETs, Python developers, engineering leads, and DevOps teams that run automated tests with pytest, Selenium, or Playwright. It is especially useful for teams that ship continuously and spend too much time investigating flaky tests, recurring failures, and noisy CI logs.
Testinel.dev's answer:
Testinel grew out of more than two decades of hands-on experience in software testing, test automation, and reliable software engineering. Its founder, Volodymyr Obrizan, repeatedly saw teams invest heavily in automated tests only to lose hours investigating failures across CI logs, screenshots, and disconnected reports. Testinel was created in Ukraine to close that gap: turning test failures into understandable causes and practical next steps so engineering teams can fix problems faster and ship more reliable software.
Testinel.dev's answer:
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.
Based on our record, Bright Data seems to be more popular. It has been mentiond 45 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
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 / 16 days ago
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
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
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
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
Oxylabs - A web intelligence collection platform and premium proxy provider, enabling companies of all sizes to utilize the power of big data.
Testomatio - Testomat.io โ Test Management System for automated tests. A powerful solution to keep and sync your automated and manual tests in one place, provides to make testing activities completely visible and transparent for all teammates Dev, PM, BA
Decodo - Decodo is perhaps the most user-friendly way to access local data anywhere. It has global coverage with 195 locations, offers more than 55M residential proxies worldwide and a great deal of scraping solutions.
Report Portal - AI-powered Test Automation Dashboard
NetNut.io - Residential proxy network with 52M+ IPs worldwide. SERP API, Website Unblocker, Professional Datasets.
TestDino - An AI-native, Playwright-focused test reporting and management platform with MCP support. It lets developers use Claude Code, Cursor, or other LLM tools to query reports, analyze flaky tests, compare runs, manage suites in natural language