Bright Data
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Decodo
NetNut.io
IPRoyal
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ScrapeOps's answer:
ScrapeOps helps developers build and operate web scrapers faster. Unlike many AI scraping tools that act as black boxes, ScrapeOps focuses on developer-first workflows with inspectable code, proxy infrastructure, monitoring, scheduling, and AI-powered scraper generation. Our newest product, ScrapeOps AI Scraper Generator, uses a schema-based approach to generate scraper code and then AI scores how correctly the scraper ran, helping developers understand output quality before using the data.
ScrapeOps's answer:
Most scraping platforms focus on either infrastructure or extraction APIs. ScrapeOps combines both. Developers get proxies, anti-bot tools, monitoring, scheduling, debugging tools, prebuilt scraper examples, and AI-assisted scraper generation in one platform. We prioritize transparency and ownership, so developers receive code they can inspect, modify, and deploy within their own workflows instead of being locked into a proprietary extraction system.
ScrapeOps's answer:
ScrapeOps is built for developers, data engineers, startups, SaaS companies, AI teams, researchers, and businesses that rely on web data. Typical users include teams building price monitoring tools, lead generation systems, market intelligence platforms, ecommerce analytics products, AI training pipelines, and large-scale web scraping infrastructure.
ScrapeOps's answer:
ScrapeOps started after seeing how much time developers spend rebuilding the same scraping infrastructure over and over again. Building a scraper is only a small part of the challenge. Keeping it running through site changes, JavaScript rendering, anti-bot systems, proxy failures, and data quality issues is where most teams struggle. ScrapeOps was created to reduce that operational burden and help developers get from idea to reliable production scraping faster.
ScrapeOps's answer:
Python, Node.js, FastAPI, PostgreSQL, Redis, Docker, Kubernetes, Playwright, Selenium, BeautifulSoup, Puppeteer, React, TypeScript, AWS Cloud Infrastructure, OpenRouter for AI Models
ScrapeOps's answer:
Thousands of developers worldwide, SaaS companies, Ecommerce intelligence platforms, Market research firms, Lead generation businesses, AI and machine learning teams, Data engineering teams, Digital agencies, Startup founders, Enterprise web data teams
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 44 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.
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 / about 2 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 / 2 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 / 2 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 / 4 months ago
Enterprise proxy providers like Bright Data and Oxylabs offer large shared mobile pools that work well for high-volume data collection. For scraping workflows that need dedicated IPs with longer session stability and programmatic proxy management, smaller specialized providers like VoidMob offer dedicated mobile proxies on carrier infrastructure with MCP server access for agent-level control over rotation and... - 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.
Crawlbase - A Platform for Data Crawling and Scraping For Business Developers
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.
Scraper API - Scale Data Collection with a Simple API.
NetNut.io - Residential proxy network with 52M+ IPs worldwide. SERP API, Website Unblocker, Professional Datasets.
Firecrawl - Turn any website into LLM-ready data.