The best web scraping companies and services in 2026, ranked by data quality, anti-bot bypass, pricing, compliance, and proxy infrastructure. Plus when to build your own scraper instead.
Daniel K.
Apr 12, 2026
A web scraping company extracts structured data from websites at scale — product prices, search engine results, social media profiles, real estate listings, job postings, flight fares, review scores, or any other public data that lives on the web. You send them a target URL or a list of thousands, and they return clean JSON, CSV, or database-ready output.
The reason companies hire dedicated scraping services instead of building in-house scrapers is simple: anti-bot defenses have gotten extremely good. In 2026, Cloudflare, Akamai, DataDome, PerimeterX (now HUMAN), and Kasada protect the majority of commercial websites. Breaking through those defenses requires rotating residential proxies, browser fingerprint randomization, CAPTCHA solvers, headless browser farms, and a team of engineers who do nothing but keep the scrapers running. That infrastructure costs $50k–200k/year to run in-house. A scraping company amortizes that cost across hundreds of clients and charges you per successful request or per record delivered.
This guide ranks the top 12 web scraping companies in 2026 by five criteria: data quality (accuracy and completeness), anti-bot bypass rate (how well they handle protected sites), pricing (cost per request or per record), compliance (legal and ethical data collection), and delivery format (API, dashboard, webhook, flat file).
Every company on this list was evaluated on five dimensions:
Bright Data is the largest web data platform in the market and has been since the Luminati days. They operate a proxy network of 72M+ residential IPs, a fully managed Web Scraper IDE, and pre-built datasets for e-commerce, travel, social media, and financial data. Their Scraping Browser product renders JavaScript in a real Chromium instance routed through residential proxies, which handles Cloudflare, Akamai, and DataDome with a reported 99.9% success rate on most targets.
Best for: enterprise teams that need both raw scraping infrastructure and pre-built datasets. Bright Data's strength is that you can start with their managed datasets and then drop down to raw proxy + scraper when you need custom extraction.
Pricing: pay-per-record for datasets ($0.001–$0.05 per record depending on source), pay-per-request for the Scraping Browser ($0.01–$0.05 per request), or raw proxy bandwidth starting at $8.40/GB for residential. Enterprise contracts start at $500/mo.
Proxy infrastructure: 72M+ residential IPs, 1.6M+ datacenter IPs, 7M+ mobile IPs. Bright Data operates the single largest legitimate proxy network in the world.
Oxylabs is the second-largest proxy and scraping provider globally. Their scraping stack includes Web Scraper API (send a URL, get parsed HTML or JSON back), SERP Scraper API (Google, Bing, Yandex, Baidu results), and E-Commerce Scraper API (Amazon, Walmart, Target, Best Buy, Wayfair). They also sell raw residential and datacenter proxy access for teams that want to build their own scrapers.
Best for: mid-market to enterprise teams focused on e-commerce price intelligence, SERP monitoring, and competitive analysis. Oxylabs has strong pre-built parsers for Amazon and Google that return structured JSON out of the box.
Pricing: Scraper APIs start at $49/mo (5,000 requests). Residential proxies from $8/GB. SERP API from $0.01 per result. Enterprise contracts are custom.
Proxy infrastructure: 100M+ residential IPs (largest claimed pool), 2M+ datacenter IPs, dedicated mobile proxies.
ScraperAPI is a developer-first scraping proxy that handles anti-bot bypass, IP rotation, and header management behind a single API endpoint. You send a URL to their API, they return the rendered HTML. No browser management, no proxy rotation logic, no CAPTCHA solving on your end — ScraperAPI handles all of it. They also offer structured data endpoints for Amazon and Google specifically.
Best for: solo developers and small engineering teams who want a "just give me the HTML" solution without managing proxy infrastructure. ScraperAPI's free tier (5,000 requests/mo) makes it the easiest entry point in the market.
Pricing: free tier at 5,000 requests/mo. Paid plans from $49/mo (100,000 requests) to $249/mo (3M requests). Enterprise custom. Overage billed per request.
Proxy infrastructure: ScraperAPI doesn't disclose pool size but routes through a mix of residential and datacenter IPs with automatic geo-targeting and retry logic.
Apify is a full scraping platform built around the concept of "Actors" — containerized scraping scripts that run on Apify's cloud. There are 1,600+ pre-built Actors in their marketplace covering every major website (Amazon, Google, Instagram, LinkedIn, Twitter/X, Zillow, Booking.com, etc.), and you can write your own in JavaScript/TypeScript using Apify's Crawlee framework. Think of it as AWS Lambda for web scraping.
Best for: technical teams who want full control over the scraping logic but don't want to manage servers, proxies, or browser farms. Apify's marketplace of pre-built Actors is the largest in the industry and saves weeks of development time.
Pricing: free tier at $5/mo in compute credits. Paid plans from $49/mo. Proxy usage billed separately at $8–$12/GB for residential. Actors from the marketplace are free to use (you only pay for compute + proxy).
Proxy infrastructure: Apify has its own residential proxy pool plus integrations with external providers. They recommend pairing Actors with residential proxies for protected targets.
Zyte is the company behind Scrapy, the most popular open-source scraping framework in Python. Their commercial platform offers Zyte API (send a URL, get rendered HTML or auto-extracted data), Smart Proxy Manager (automatic proxy rotation with anti-ban logic), and Scrapy Cloud (managed hosting for Scrapy spiders). If your team already uses Scrapy, Zyte is the natural upgrade path.
Best for: Python-heavy teams already using Scrapy who need managed hosting, proxy rotation, and anti-bot bypass without switching frameworks. Zyte's auto-extraction AI can return structured product data from any e-commerce page without writing a custom parser.
Pricing: Zyte API from $0.001 per request (HTTP mode) to $0.01 per request (browser mode). Smart Proxy Manager from $1/1,000 requests. Scrapy Cloud free tier available.
Proxy infrastructure: Zyte operates its own residential and datacenter proxy pool, plus Smart Proxy Manager which handles rotation, retry, and ban detection automatically.
ParseHub is a visual web scraper with a desktop app that lets you point-and-click to select data from any website. No coding required. It handles JavaScript rendering, pagination, dropdowns, infinite scroll, and login-wall sites. The extracted data is delivered as CSV, JSON, or via API. It's the tool of choice for non-technical teams: marketing analysts, researchers, journalists, and business intelligence people who need data from the web but don't write code.
Best for: non-technical users who need to scrape 10–100 pages per project without writing any code. ParseHub's visual selection tool is genuinely intuitive and works on most websites without configuration.
Pricing: free tier (5 projects, 200 pages per run). Standard $189/mo (20 projects, 10,000 pages). Professional $599/mo (unlimited projects, 50,000 pages).
Proxy infrastructure: ParseHub runs its own proxy rotation for paid plans. Free tier uses shared IPs with lower success rates on protected sites.
Crawlbase is a scraping API that focuses on simplicity: one endpoint, one API key, paste any URL, get HTML or structured data back. Their Crawling API handles JavaScript rendering and anti-bot bypass, their Scraper API returns parsed data for common page types (products, articles, search results), and their Screenshot API captures full-page screenshots. The rebrand from ProxyCrawl brought a cleaner API and better documentation.
Best for: teams that need a reliable "URL in, data out" API without any setup complexity. Crawlbase is the Stripe of web scraping — simple API, clear pricing, good docs, and it just works for 90% of use cases.
Pricing: Crawling API from $0.003 per request (normal) to $0.01 per request (JavaScript rendering). Free first 1,000 requests. Volume discounts start at 100k requests/mo.
Proxy infrastructure: Crawlbase operates a mix of residential and datacenter proxies, with automatic fallback and retry logic built into their API.
ScrapeOps is a proxy aggregator and scraping monitoring tool that sits on top of other proxy providers. Instead of committing to one proxy vendor, ScrapeOps routes your scraping traffic across multiple providers (Bright Data, Oxylabs, ScraperAPI, and others) and benchmarks which one performs best for each target domain. It also provides a monitoring dashboard that tracks success rates, latency, and cost per domain across your entire scraping operation.
Best for: teams already running scrapers at scale who want to optimize cost and success rate by automatically switching between proxy providers per target. The monitoring dashboard alone is worth the subscription for any team running more than 1M requests/mo.
Pricing: free monitoring tier. Proxy Aggregator from $75/mo. You still pay the underlying proxy provider's bandwidth costs on top of ScrapeOps' platform fee.
Proxy infrastructure: ScrapeOps doesn't own proxies. It routes through partner networks and optimizes the routing per domain.
ScrapingBee is a headless browser API that handles Chrome rendering, proxy rotation, and CAPTCHA solving in one service. You send a URL, they spin up a real Chrome instance behind a residential proxy, render the page, solve any CAPTCHAs, and return the HTML. Their Google Search API returns SERP results as structured JSON. Clean, developer-friendly API with good Python and Node SDKs.
Best for: developers who need rendered HTML from JavaScript-heavy sites (React, Angular, Vue SPAs) and don't want to manage Puppeteer or Playwright infrastructure. ScrapingBee's Chrome rendering is more reliable than most competitors for complex SPAs.
Pricing: from $49/mo (150,000 API credits). Credits vary by feature: 1 credit for basic HTML, 5 credits for JS rendering, 10–25 credits for premium proxies. Free trial with 1,000 credits.
Proxy infrastructure: residential and datacenter proxies with premium residential available for the hardest targets (Cloudflare Enterprise, Akamai Bot Manager).
Smartproxy straddles the line between proxy provider and scraping company. They sell raw proxy access (residential, datacenter, mobile) AND managed scraping APIs (SERP Scraping API, Social Media Scraping API, Web Scraping API, eCommerce Scraping API). For each vertical they return structured JSON with pre-built parsers for Google, Amazon, Instagram, TikTok, and more. The pricing is aggressive compared to Bright Data and Oxylabs, making them the default mid-market choice.
Best for: mid-market teams that want both raw proxy access and managed scraping APIs from a single vendor at below-enterprise pricing. Smartproxy's social media scraping (Instagram, TikTok) is particularly strong.
Pricing: Scraping APIs from $50/mo. Residential proxies from $7/GB. Datacenter proxies from $0.50/IP. Aggressive volume discounts compared to the top two players.
Proxy infrastructure: 55M+ residential IPs, 400K+ datacenter IPs, dedicated mobile proxies.
Diffbot is not a traditional scraper — it's an AI-powered web data extraction engine. Instead of writing CSS selectors or XPath queries, you point Diffbot at any URL and its machine learning models automatically identify and extract articles, products, discussion threads, events, and organization data. Their Knowledge Graph product maps the entire public web into a structured database of 20B+ entities that you can query via API.
Best for: teams that need structured data extraction from thousands of different websites without writing custom parsers per site. Diffbot's ML extraction handles layout changes, redesigns, and edge cases that would break rule-based scrapers. The Knowledge Graph is unmatched for entity-level research (companies, people, products).
Pricing: Startup plan at $299/mo (10,000 Extraction API calls). Plus at $899/mo. Enterprise custom. Knowledge Graph access starts at $299/mo.
Proxy infrastructure: Diffbot handles proxy rotation internally. Users don't manage proxies.
WebScrapingAPI is a focused, developer-first scraping API that does one thing well: you send a URL, they return rendered, anti-bot-bypassed HTML. No frills, no marketplace, no visual editor — just a clean REST API with proxy rotation, JS rendering, and CAPTCHA solving built in. Their pricing is transparent and among the cheapest per-request in the market, making them popular with bootstrapped startups and indie hackers.
Best for: bootstrapped teams and indie developers who need reliable, cheap, API-first scraping without enterprise overhead. WebScrapingAPI's free tier (1,000 requests) and sub-$50/mo paid plans make it the most accessible entry point after ScraperAPI.
Pricing: free tier at 1,000 requests/mo. Paid from $39/mo (25,000 requests) to $249/mo (500,000 requests). Pay-as-you-go available.
Proxy infrastructure: residential and datacenter proxy mix with automatic geo-targeting and rotation.
The decision comes down to four questions:
Not every team should hire a scraping company. If you're scraping fewer than 10 target domains, your targets aren't heavily protected, and you have a developer who knows Python or Node, building your own scraper with residential proxies is cheaper and gives you full control.
The build-your-own stack in 2026 looks like this:
Total cost for a self-managed stack scraping 1M pages/mo: roughly $300–600/mo in proxies + $50–100/mo in CAPTCHA solving + $20–100/mo in compute. Compare that to $500–2,000/mo for a managed scraping company at the same volume. The trade-off is your developer's time: a managed service saves 10–20 hours/mo of maintenance.
The sweet spot for self-managed scraping is when you need high-volume extraction from a small number of well-understood target domains (your own competitors, a single marketplace, a specific data source) and you have at least one developer who can maintain the system. For everything else — especially broad-web scraping across thousands of domains — the managed companies win on reliability.
Every web scraping company on this list depends on proxy infrastructure under the hood. The proxy layer is what makes large-scale scraping possible: without rotating IP addresses, any scraper gets blocked after a few hundred requests from the same IP.
The proxy types used in web scraping:
If you're evaluating web scraping companies, ask them what proxy infrastructure they use. The best providers operate their own residential networks or partner with top-tier residential proxy providers rather than relying on cheap datacenter IPs that get blocked constantly.
In most jurisdictions, scraping publicly available data is legal. The US Ninth Circuit's hiQ v. LinkedIn ruling (2022) established that scraping public data does not violate the Computer Fraud and Abuse Act. The EU's GDPR applies when scraping personal data (names, emails, profile photos) and requires a lawful basis for processing. Always consult legal counsel for your specific use case, especially when scraping personal data or data behind login walls.
Ranges from free (ScraperAPI free tier, Apify free tier) to $10,000+/mo for enterprise contracts with Bright Data or Oxylabs. The average mid-market customer spends $200–500/mo on scraping APIs or $300–600/mo on self-managed proxy + scraper infrastructure.
A proxy provider gives you IP addresses. A web scraping company gives you data. The scraping company handles browser rendering, anti-bot bypass, parsing, and data delivery on top of the proxy layer. Some companies (Bright Data, Oxylabs, Smartproxy) are both — they sell raw proxy access AND managed scraping APIs.
The top ones can. Bright Data, Oxylabs, ScrapingBee, and Zyte all have dedicated Cloudflare bypass capabilities using residential proxies, real browser rendering, and TLS fingerprint matching. Cheaper providers struggle with Cloudflare Enterprise and Cloudflare Turnstile specifically.
Rotating residential proxies for protected targets (Cloudflare, Akamai, DataDome). Rotating datacenter proxies for unprotected targets where speed and cost matter. Static residential for login-based scraping. LTE mobile proxies for social media platforms that block residential IPs.
Depends on the plan. Free tiers offer 1,000–5,000 requests/mo. Paid plans typically start at 25,000–100,000 requests/mo for $39–$49. Enterprise plans handle 10M+ requests/mo. Self-managed scraping with your own proxies has no request cap — only bandwidth and compute limits.
Build if: you're scraping fewer than 10 domains, you have a developer, and the targets aren't heavily protected. Hire if: you're scraping across hundreds of domains, you need structured data in JSON, or your targets are behind Cloudflare/Akamai and you don't want to maintain anti-bot bypass infrastructure.
Most offer JSON (real-time API response), CSV (batch download), and webhook (push to your endpoint). Some also offer database connectors (BigQuery, Snowflake, PostgreSQL), S3/GCS file drops, and dashboard-based exploration. JSON via API is the most common delivery method for real-time use cases.
Amazon and Google: generally yes for public product and search data. LinkedIn: more complex due to their aggressive anti-scraping stance and the hiQ case. All three platforms have Terms of Service that prohibit scraping, but US courts have generally ruled that ToS violations alone don't create criminal or civil liability for public data. Always get legal advice for LinkedIn specifically.
Use rotating residential proxies, randomize request headers and User-Agent strings, add realistic delays between requests (2–5 seconds), render JavaScript with a real browser engine, and rotate browser fingerprints. Or hire a scraping company that handles all of this for you.
Web scraping in 2026 is a mature industry with a provider for every budget and use case. Enterprise teams with compliance requirements go to Bright Data or Oxylabs. Mid-market teams that want structured data from specific verticals (e-commerce, SERP, social) use Smartproxy, Zyte, or Apify. Developers who just want clean HTML from a single API call use ScraperAPI, ScrapingBee, or Crawlbase. Non-technical users who need point-and-click extraction use ParseHub. And teams who want full control build their own scrapers on top of residential proxies at a fraction of the managed cost.
The underlying constant across all of these: every serious scraping operation depends on proxy infrastructure. The proxy layer determines whether your scraper gets blocked on the 10th request or the 10 millionth. If you're building your own stack, start with the proxy layer and build up from there.