Data-hungry models live and die on the quality of their inputs. Teams need partners who can gather, clean, and deliver web-scale information without drama — and with clear compliance.
This review highlights specialists that ship results, from turnkey scraping APIs to curated, petabyte-scale datasets and proxy networks. You’ll see how they work, where they fit, and how they stay flexible for changing workloads, including top AI data collection companies powering LLMs.
Selecting a partner should feel like adding a dependable extension of your team. Look for proven scale, transparent sourcing, and the ability to pivot from simple crawling to complex, protected targets. Each company below brings a different mix of tools, services, and support. The picks reflect best AI data collection companies powering LLMs used by startups and global enterprises alike.
Bright Data runs a large public web data platform built on an extensive proxy network, data products, and custom crawling. Ethical collection and transparency — with licensed or volunteered proxies and thousands of granted patent claims — set a high bar. Court wins upholding the legality of scraping public data reinforce its place among AI data collection industry leaders.
Range is the draw — residential, datacenter, mobile, and ISP proxies, plus a SERP API, SDKs, and ready-made LLM datasets at petabyte scale. It handles dynamic content and reports a 99.99% request success rate, which suits production workloads. Professional services bring expert help without long commitments, keeping Bright Data squarely among the best AI data collection companies powering LLMs.
Oxylabs runs one of the largest proxy networks on the market and ships scraping APIs for SERP, e-commerce, and social sources. The company backs its ethical stance with work in standards groups and a patent trove topping 100 — a signal of steady R&D. With 177M+ IPs and thousands of customers, it stands among the AI data collection industry leaders by scale and tooling.
Recent additions like Oxy Copilot and WAF bypass keep collection steady as defenses change. Legal and compliance support lowers risk, while clean APIs and dashboards help teams move fast. For enterprises weighing the best AI data collection services, Oxylabs offers seasoned infrastructure supported by a large, specialized team.
Smartproxy, rebranded as Decodo, focuses on high-value proxy services with a straightforward developer experience. Its Site Unblocker automates rotation and CAPTCHA handling, while a Search Engine Proxy simplifies SERP collection. The platform integrates smoothly with common scraping libraries and offers a self-service dashboard for fast setup and control.
The company balances cost and capability — residential, mobile, datacenter, and ISP proxies with API access and a browser extension. Partnerships with anti-fingerprinting vendors and 24/7 support make it a practical day-to-day choice. Teams can start small and scale on demand without process friction — keeping budgets tight while partnering with the best AI data collection firms.
Apify lets teams turn any website into a structured API, using a marketplace of 7,000+ ready-made “Actors” or custom code. The platform crawls billions of pages monthly and includes a cloud runtime, scheduling, storage, and APIs, plus the open-source Crawlee library. That blend of hosted infrastructure and community-driven components supports AI data collection for large language models and dozens of adjacent use cases.
The marketplace accelerates time-to-value — spin up scrapers for popular sites, then customize as needed. Prebuilt Actors, SDKs, and proxy options reduce maintenance, while pay-as-you-need workflows keep teams nimble. Apify fits teams who want quick starts, strong extensibility, and direct control over automation.
NetNut operates a large residential proxy network through direct ISP partnerships — more than 200 providers feeding 52M IPs. The company reports 99% success rates for rotating and static residential proxies and ISO 27001 certification for its infrastructure. A Website Unblocker, SERP Scraper API, and datasets complement the core proxy products, which puts NetNut on many shortlists of best AI data collection firms.
Routing traffic through ISP networks — not peer devices — aims for low latency and stable sessions, which matters for high-volume crawls. A user dashboard and API management simplify oversight, while the company’s “Impact Data Initiative” shows a broader data mission. With thousands of customers and recognized growth, NetNut is tuned for sustained, production-grade extraction.
SOAX brings scraping and proxies under one roof — residential, mobile, and datacenter options plus a Web Unblocker that handles CAPTCHAs and WAFs. It supports precise geotargeting and reports high success rates across thousands of target domains. Subscription plans scale smoothly, so teams can move from prototypes to production without rebuilding pipelines.
Typical work spans price tracking, real estate listings, job boards, and sentiment analysis, along with data packages for training LLMs. The product lineup — proxies, unblocker, scraper APIs, and data-as-a-service — lets you buy only what you need now and expand later. It’s broad coverage without extra complexity in setup and maintenance.
Webshare — now an Oxylabs subsidiary — keeps its own brand identity with a privacy-first posture and AI/ML-driven fraud checks. It processes staggering load — hundreds of billions of requests each month — and offers both rotating and dedicated proxy options. Clients range from Fortune 500 teams to solo analysts doing market research and cyber threat work.
The draw is straightforward scale: session control, clean API access, and a cloud dashboard that makes setup quick. Backing from Oxylabs adds compliance strength without slowing down a focused, lightweight service. For cost-minded teams that still need reach and reliability, Webshare is a sensible pick.
ZenRows targets developers with a single Universal Scraper API that handles unblocking, rotation, headless browsers, and anti-bot tactics. The company claims a 99.93% success rate and ships prebuilt scrapers for major platforms. Residential proxies, a Scraping Browser, and a screenshot API round out the toolkit for teams that want quick integrations with minimal glue code.
Its remote, multilingual team supports thousands of companies, from fast experiments to sustained production runs. Easy Puppeteer integration reduces the pain of maintaining brittle scripts while keeping control in engineers’ hands. For teams focused on model inputs, ZenRows pairs speed with the structure needed for AI data collection for large language models.
Coresignal supplies ready-to-use public web data rather than a proxy or scraper stack — think multi-source datasets on companies, employees, and jobs. With billions of records and firmographic and labor-market APIs, it fits enrichment, analytics, and model training where clean inputs matter. Data ships as bulk files or through APIs in familiar formats, which shortens the path from testing to production.
Industry recognition and membership in ethics-focused groups reinforce its compliance record. Teams working on features tied to business entities, roles, or hiring trends get structured feeds that drop into pipelines with minimal engineering. Advisory support helps convert raw records into actionable signals for downstream systems.
Crawlbase ships web-scale crawling and scraping infrastructure — a Crawling API, high-capacity Crawler, Smart AI Proxy, and managed cloud storage for captured results. It supports more than a million targets, from major marketplaces to social platforms, with rotation, CAPTCHA handling, and WAF workarounds built in. An MCP Server module links live web data to automation stacks, closing the gap between retrieval and use.
A remote-first team and clean developer experience make it easy for small groups to get started, while paid tiers cover heavy workloads. Tens of thousands of paying customers and steady revenue point to reliable performance over time. It’s a strong fit for teams that want end-to-end control without piecing together a dozen separate tools.
Start with your target data and how much maintenance you can stomach. If you need live, unstructured harvests across dynamic sites, proxy-first providers with strong unblockers make sense. If you want business entities, jobs, or people data packaged and clean, curated datasets and APIs reduce engineering lift. Blend both when you must — a pragmatic mix drawn from top AI data collection companies powering LLMs.
Scrutinize sourcing, compliance posture, and the boring but vital pieces — SLAs, QA, deduplication, and freshness metrics. Favor trials and self-serve tiers to pressure-test speed, accuracy, and support before traffic ramps. Keep a backup vendor to absorb spikes or site changes without downtime. Teams that value simplicity and predictable spend often get the best results from the best AI data collection services.
If you want to feature your AI Data collection company on this list, email us or submit a form in the Top Choices section. After a thorough assessment, we’ll decide whether it’s a valuable addition.