
Bright Data
Oxylabs
Decodo
NetNut.io
IPRoyal
Apify
Zyte
SOAX
CodeRifts
Bump.sh
StopLight
Spectral
Insomnia CLI
Merge Freeze
Optic
CodeRifts detects breaking changes in OpenAPI schemas on every pull request. It scores risk across 4 dimensions (revenue impact, blast radius, app compatibility, security), enforces governance policies before merge, and translates technical API changes into business impact โ blast radius, affected clients, and estimated cost.
Works with GitHub, GitLab, Bitbucket, and any CI/CD pipeline. Zero config. Free to start.
Key features: - Breaking change detection with risk scoring (0-100) - Policy engine: breaking budgets, freeze windows, approval matrix - Economic impact estimation: cost and engineering effort - Security analysis: auth changes, sensitive field exposure - Auto-changelog and semver suggestions - GitHub App, GitHub Actions, GitLab CI, Bitbucket Pipelines, REST API, CLI
Bright Data
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CodeRifts's answer:
Currently in beta, onboarding early adopters
CodeRifts's answer:
CodeRifts is the only API governance tool that combines breaking change detection with risk scoring, policy enforcement, and economic impact estimation โ all delivered as a zero-config GitHub App. It does not just tell you what changed, it tells you how dangerous it is, who it affects, and what it will cost to fix.
CodeRifts's answer:
A field rename broke a POS system across 19 restaurants for a week. The PR passed code review, all tests were green, nobody checked the API schema. CodeRifts was built to catch this class of problem before merge โ automatically, on every pull request.
CodeRifts's answer:
Most tools only diff your OpenAPI specs. CodeRifts goes further: it scores risk across 4 dimensions, enforces governance policies before merge, estimates migration costs in dollars and engineering hours, and works with GitHub, GitLab, Bitbucket, and any CI/CD pipeline. One YAML file replaces review meetings.
CodeRifts's answer:
Senior backend engineers, platform engineers, and staff engineers at companies with microservices architectures who need to prevent breaking API changes from reaching production.
CodeRifts's answer:
Node.js, Express, GitHub Apps API, OpenAPI diff engine, Railway, Cloudflare Pages
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 / 7 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
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