12 Best Data Collection Services in 2026

The best data collection service for most teams in 2026 is CyberYozh; it combines residential, mobile, and datacenter proxies with a scraping API and antidetect browser support at a price accessible to agencies and growing businesses, not just enterprises.

Every pricing decision, content strategy, and market move your business makes is only as good as the data behind it. That data lives on websites, search results, social platforms, and product pages, and collecting it manually has been viable for years.

Between JavaScript-heavy frameworks, advanced bot-detection systems, browser fingerprinting, and rate limiting, collecting reliable public web data now requires far more than basic scraping scripts. 

This guide evaluates 12 providers across six criteria: 

• proxy infrastructure quality

• API flexibility

• geographic coverage

• pricing transparency

• support quality

• real-world fit for the use cases most teams actually run.

Quick Comparison Table

12 Best Data Collection Services in 2026

Here are 12 providers best for data collection services in 2026.

CyberYozh

CyberYozh is a data collection infrastructure provider built for teams that need residential, mobile, and data center proxies, along with scraping API access, without the enterprise pricing that makes tools like Bright Data impractical for most businesses.

What makes CyberYozh operationally distinct is its built-in IP fraud score checker. This tool validates an IP's reputation before deployment, so you don't discover mid-session that your target already flagged the address. Independent nightly benchmarks recorded a 99.8% success rate and a 1.1-second average response time across a standard target panel, including Google SERP, Amazon, Cloudflare-fronted retailers, and social platforms.

Key Features

• 50M+ IP pool across 100+ countries with 99.9% uptime guarantee

• Residential proxies, rotating residential proxies from $0.90/GB with free geo-targeting, speeds up to 10 Mbps, and session support for price aggregation tasks

• ISP residential proxies, dedicated static IPs from real ISPs, starting at $5.29/month with unlimited traffic; ideal for long-session scraping and account-based workflows 

• LTE Mobile proxies (4G/5G): operating through real LTE and 5G carrier networks with unlimited traffic, manual and API-based IP rotation, OS fingerprint switching, and VPN/VLESS configuration; from $1.70/day 

• Datacenter proxies: from $1.90/month, focused on speed and uptime; best for bulk scraping and high-volume crawling where cost matters more than stealth 

• Scraping API automation: handles request headers, proxy assignment, and session management out of the box

• Antidetect browser compatibility: works with any antidetect browser, including AdsPower, Multilogin, and Dolphin Anty for fingerprint-aware multi-account scraping

• Single dashboard: residential, datacenter, and mobile proxies managed in one place, no context switching

• Seamless integration with Selenium, Puppeteer, Playwright, Postman, Scrapy, and custom scripts.

Practical Use Cases

• Ecommerce price monitoring: track competitor pricing across hundreds of SKUs daily without triggering bot detection

• SEO research: collect SERP data and ranking changes across multiple regions using residential IPs that pass geo-checks

• Competitor tracking: monitor content updates, ad copy changes, and product launches in real time

• Social media data collection: scrape public profiles and engagement metrics using mobile proxies that minimize detection risk

• Lead generation: extract business contact data from directories and professional platforms

• Market intelligence: aggregate public industry data across regions for business decision-making

Your scraping stack is only as reliable as its proxy layer. CyberYozh gives you 50M+ clean IPs, 99.9% uptime, and all three proxy types in a single dashboard. [See which CyberYozh pricing plan fits your workflow]

 Bright Data

Bright Data is a proxy provider and web data platform, offering over 150 million IPs across 195 countries and a dataset marketplace covering 120+ domains. The complexity of the Bright Data dashboard frustrates new users. Pricing puts it out of reach for most small- to mid-sized teams. Support quality varies significantly by tier.

Key Features

• 150M+ residential, mobile proxies, ISP, and datacenter proxies

• Scraping Browser (cloud-based headless browser)

• Ready-made dataset marketplace

• City-level geo-targeting and Web Unlocker for JS-heavy sites

• Pricing: From approximately $499/month for proxy subscriptions; datasets from $250 per 100K records.

• Best For: Enterprise data teams needing high-volume, multi-source data collection with a ready-made dataset option.

Oxylabs

Oxylabs has positioned itself as one of the leading enterprise-grade web scraping platforms, combining large-scale proxy infrastructure with scraping APIs and AI-assisted automation tools. Oxylabs pricing scales steeply with volume. The Web Unblocker is an add-on cost in addition to proxy fees and is unsuitable for budget-conscious teams.

Key Features

• 175M+ proxy pool across residential, mobile, ISP, and datacenter types

• AI-powered Web Unblocker for heavily protected targets

• Web Scraper API with JavaScript rendering

• CAPTCHA handling

• Pricing: Residential proxies from approximately $99/month; enterprise plans available on request.

• Best For: High-volume data teams that need a large, reliable proxy pool with enterprise-grade uptime guarantees.

ScraperAPI

ScraperAPI is a developer-focused scraping API that automatically manages proxy rotation, CAPTCHA handling, and JavaScript rendering, offering one of the simplest entry points for teams that want managed scraping without infrastructure overhead. Limited granular proxy control; you can't specify proxy type or location in detail. Not suited for social media scraping or multi-account workflows.

Key Features

• Automatic proxy rotation and CAPTCHA solving

• JavaScript rendering for dynamic, single-page applications

• Simple REST API compatible with any programming language

• Pricing: From $49/month on a pay-per-successful-request model. Free trial includes 5,000 API credits.

• Best For: Developers and ecommerce teams that need a reliable managed scraping solution with minimal configuration.

Read about API blocking 

 Zyte

Zyte is a technical scraping platform built around the Scrapy ecosystem, offering AI-assisted data extraction and cloud-based spider deployment for teams running complex, custom pipelines. The Scrapy documentation is thorough, though it assumes a solid Python background. Steep learning curve for non-developers. Costs escalate quickly on high-request-volume projects.

Key Features

• Zyte API with automatic unblocking and headless browser rendering

• AI-powered extraction that reduces manual parsing effort

• Scrapy Cloud for deploying and scheduling scraping jobs

• Pricing: Pay-per-request. Free trial available; enterprise plans on request.

• Best For: Technical teams running large-scale, custom scraping pipelines that need cloud infrastructure and AI-assisted extraction.

Decodo 

Decodo runs mobile proxy networks for social media and geo-targeted scraping, with over 10 million mobile IPs across 130+ locations and 700+ ASNs.Support response times are inconsistent on lower-tier plans. Advanced targeting features require technical setup.

Key Features

• 10M+ mobile proxy pool across 130+ locations

• Social Media Scraping API

• Carrier and city-level targeting

• Pricing: Mobile proxies from approximately $75/month.

• Best For: Social media data collection and geo-targeted research requiring mobile carrier-grade IPs.

 NetNut

NetNut provides ISP-grade residential proxies through direct carrier relationships, making it a stable option for long-running sessions and B2B data pipelines. Custom-only pricing makes costs hard to evaluate upfront. Minimum commitments are high, unsuitable for smaller teams.

Key Features

• Direct ISP connections for minimal latency

• Static and rotating residential proxies

• 24-hour mobile proxy rotation cycles

• Pricing: Custom enterprise pricing only.

• Best For: Enterprise B2B data teams that need stable, low-latency connections for extended scraping sessions.

SOAX

SOAX is a compliance-focused proxy platform with strong city-level and carrier-level targeting, built on an ethically sourced IP network with explicit GDPR and CCPA positioning. SOAX focuses on the connection layer; users must supply their own parsing and extraction logic. Not beginner-friendly.

Key Features

• City and ASN-level geo-targeting

• Ethically sourced residential and mobile IPs

• Social media scraping API; 99.9% uptime reported

• Pricing: From $99/month.

• Best For: Geo-targeted scraping projects where compliance documentation is a requirement alongside data collection.

Apify

Apify is a cloud scraping and automation platform built around reusable "Actors, pre-built scrapers covering Amazon, Google Maps, LinkedIn, and hundreds more, that can be deployed without writing extraction logic from scratch. Costs escalate quickly on high-frequency tasks. Less proxy control than infrastructure-focused providers.

Key Features

• 1,500+ ready-made Actors in the public marketplace

• Cloud execution with scheduling and monitoring

• REST API for integration with external systems

• Pricing: From $49/month. Scales with Actor usage and compute time.

• Best For: Teams that want pre-built scraping workflows for common targets without building custom infrastructure.

PhantomBuster

PhantomBuster automates lead generation and social media data collection through pre-built "Phantoms" that simulate user actions on LinkedIn, Instagram, and X. Slower than API-based scraping. More prone to account restrictions. Not suited for large-scale or continuous collection.

Key Features

• No-code automations for major social platforms

• Cloud-based execution; no local machine required

• CRM integration options

• Pricing: From $56/month.

• Best For: Non-technical marketers who need LinkedIn lead data or social profile exports without building a scraper.

LXT

LXT is a crowdsourcing platform focused on human-verified data for AI model training, image annotation, audio transcription, text classification, and structured web research. Not designed for real-time web scraping or continuous data pipelines.

• Pricing: Custom, project-based pricing.

• Best For: AI and ML teams that need labeled, verified datasets rather than automated web scraping.

Nimbleway

Nimbleway takes an automation-first approach, combining proxy infrastructure with AI-driven data collection tools that adapt to blocking patterns, request failures, and site changes, keeping pipelines running with minimal intervention. Less proven at scale than established providers. Limited pricing transparency and community documentation.

• Pricing: Custom pricing.

• Best For: Organizations building data products or market intelligence platforms that need continuous, automated collection.

How to choose the right data collection service

Use this five-step framework before committing to any provider.

1. Define your data type first. Real-time web data (prices, rankings, profiles) requires scraping infrastructure. Labeled AI training data requires a managed annotation service. Mismatching data types with providers quickly wastes budget.

2. Assess your team's technical depth. Zyte and Apify assume developer knowledge. ScraperAPI and PhantomBuster serve lighter technical profiles. CyberYozh provides infrastructure, proxies, APIs, and antidetect support that integrates into existing developer stacks without requiring a full rebuild.

3. Match proxy type to target platform. Even the most advanced scraping APIs rely on strong proxy infrastructure to operate effectively. Residential proxies help scraper APIs blend with normal user traffic, reduce detection, and ensure consistent data collection across regions. Mobile IPs add another layer of trust for social platforms. Never use datacenter proxies on high-security targets.

4. Think about volume before committing. What works at 1,000 requests per day often breaks at 100,000. Test concurrency limits early and choose a provider whose pricing stays predictable as volume grows.

5. Check compliance requirements. Web scraping is legal in 2026, provided the data collected is publicly available and responsibly gathered. Compliance with the website's terms of service, robots.txt rules, and data protection laws such as the GDPR or the CCPA is required. Consult legal counsel for your specific situation.

Common data collection challenges

• IP banned: The most common pipeline killer. Sending too many requests from a single IP triggers automatic blocking. Fix: rotate across a large pool of residential or mobile IPs. Major platforms catalogue datacenter IPs and fail quickly on anything with serious bot protection.

• Rate limits and HTTP 429 errors: Platforms throttle request frequency. The fix is to distribute volume across multiple IPs so that each address stays well below the per-IP threshold, rather than just slowing overall request speed.

• CAPTCHAs: Modern systems like reCAPTCHA v3 analyze behavioral signals. Residential IPs reduce CAPTCHA frequency significantly. For sites that still heavily serve them, ScraperAPI and Zyte include automated solving. 

• [Read about CAPTCHAs proxies]

• Poor data quality: JavaScript-heavy sites load content asynchronously; a scraper without headless browser rendering returns empty fields. Always validate output structure before running at full volume. The MDN guide on the Fetch API is a useful reference for understanding how HTTP requests interact with modern web applications.

• Scaling issues: Many providers advertise large IP counts but throttle concurrent connections on lower-tier plans. Test concurrency at small scale before committing to production volume.

Why proxy infrastructure is the foundation of data collection

A perfectly written scraper fails the moment its IP is flagged. Here's what each proxy type does and when to use it.

• Residential proxies route requests through real home internet connections. Websites treat this traffic as genuine users, which is effective for most scraping tasks, including product listings, SERP results, pricing pages, and public profiles.

• Mobile proxies (4G/5G) route traffic through cellular carrier networks. Because thousands of real users share carrier IPs through NAT, platforms rarely ban them. They have the highest trust scores among social media platforms, including Instagram, TikTok, and LinkedIn. They are the only proxy type that reliably passes behavioral trust checks on those platforms. The Playwright documentation covers browser configuration, viewport, locale, and timezone, which further reduce fingerprinting risk when paired with mobile IPs.

• Datacenter proxies are fast and cheap but easily identified. Use them only for targets with minimal anti-bot protection or early-stage pipeline testing.

Key takeaways

• Proxy type is the most important variable. Mobile for social media, residential for general scraping, datacenter only for lightly protected targets.

• Don't choose on price alone. Cheap proxies that get flagged instantly cost more in lost engineering time than a properly priced plan from a reliable provider.

• Infrastructure matters more than the scraper. The cleanest scraping logic fails instantly when the IP pool is burned.

• CyberYozh covers the full stack: 50M+ IPs, 99.9% uptime, 96% scraping success rate, all three proxy types, scraping API, and antidetect browser support, at pricing that works for agencies and growing teams, not just enterprise data divisions.

• Validate your data output, every time. Collection is only useful if the data is clean, complete, and structured. Build output validation into your pipeline from day one.

• Test at low volume before scaling. Catching detection issues at 1,000 requests takes minutes to fix. Catching them at 500,000 requests takes days.