10 Best Web Scraping Tools of 2026

Apify ranks first because it covers more of the scraping job than any other tool here. Apify Store lists more than 114,000 Actors, so a team that needs Google Maps listings, TikTok posts or ecommerce prices can often start from a scraper someone else maintains and pay per result or per run. When nothing fits, developers can build their own Actors from Python, JavaScript or TypeScript templates, or with Crawlee, Apify's open-source crawling library, then schedule and monitor them on the same platform. Proxies are built in: residential traffic costs $8 per GB on Starter, and an Unblocker and Google SERP proxy are billed per 1,000 requests. The Free plan gives $5 of usage every month, and Starter costs $19 a month, which becomes credit to spend, plus pay as you go. The trade-off is cost forecasting, since compute units, proxy traffic and each Actor's own fee all add up, and heavy parallel work needs the Scale or Business plan.

Bright Data is the infrastructure pick for teams scraping at real volume. Its Scraper APIs cover more than 1,200 websites, including LinkedIn profiles and Amazon products, and return parsed JSON or CSV. For sites without a ready scraper, the Unlocker, Crawl and Browser APIs handle blocks, CAPTCHAs and JavaScript, and Scraper Studio turns a site into a custom pipeline. Underneath sits a residential network of more than 400 million IPs, with ISP and datacenter proxies on top. Pricing on the web scraper page is clear: 5,000 free records a month, pay as you go at $1.5 per 1,000 records, or Scale at $499 a month with 384,000 records and $1.3 per extra 1,000. Proxies, unblocking, rendering and parsing are included, failed deliveries are not charged and concurrency is unlimited. Bright Data also sells pre-collected datasets from 900+ domains. The breadth comes with a learning curve, and SSO and premium SLAs sit on the Enterprise plan.

Firecrawl is built for the newest reason teams scrape: feeding live web content to language models and agents. One API key covers Search, which returns full page content from results, Scrape, Map for listing a site's URLs, and Crawl for whole sites, all returning Markdown, JSON or screenshots. A newer Interact endpoint lets you click through a page with prompts or code, and an MCP server and CLI connect it to AI agents in a single command. The code is open source if you prefer to self-host. Pricing is easy to read: one credit per page on a basic scrape, a free plan of 1,000 credits a month, Hobby at $19 a month for 5,000 credits, or $16 billed annually, and Standard at $99 for 100,000 credits. Structured JSON costs 4 extra credits per page, and the cheaper plans cap concurrent browsers, so very large crawls need Growth or Scale. It is less suited to field-level ecommerce monitoring than Bright Data or ScraperAPI.

ScrapingBee is a straightforward scraping API for developers who want to keep parsing in their own code. Each request can run a headless browser, rotate through standard or premium proxies, target one of 200+ countries, take a screenshot or apply CSS and XPath extraction rules, and every one of those features is included from the $19 Hobby plan. Dedicated APIs return structured results for Google, Amazon, Walmart, YouTube and AI assistants such as ChatGPT and Gemini. Plans scale by credits and concurrency: Hobby gives 75,000 credits and 25 concurrent requests, Startup at $99 gives 1 million and 100, and Business at $249 adds priority support, an account manager and team quotas. The catch is the credit multiplier. A rendered request costs 5 credits and premium proxies 10 or 25, so protected sites burn through a plan much faster than the headline number suggests, and unused credits expire each month. A 1,000 credit trial helps size that before you pay.

Zyte suits engineering teams that scrape many different sites and want one API to work out how hard each one is. Zyte API picks the leanest method by default, rotating residential, datacenter and mobile IPs, solving CAPTCHAs and switching to a pre-warmed headless browser only when a page needs it. AI extraction turns raw pages into typed product, article and job listing fields, and actions and sessions cover logins, forms and scrolling. Pricing reflects that design: each website falls into one of five tiers, and you pay per 1,000 successful responses. Pay as you go runs from $0.13 to $1.27 for HTTP responses and $1.01 to $16.08 for browser-rendered ones, and monthly commitments from $100 cut those rates. All features come with every level, with no overage penalties. Zyte also runs Scrapy Cloud for teams using the open-source Scrapy framework and a managed data service. Its calculator is worth using first, because costs depend heavily on which sites you target.

Oxylabs is best known for proxies, and its Scrape API puts that network behind a single request that handles CAPTCHAs and JavaScript and returns Markdown, JSON or HTML. Popular targets such as Google, Amazon and Walmart have their own parameters for clean output, and newer LLM scrapers collect answers from ChatGPT, Perplexity, Gemini and Google AI Mode, which helps teams tracking how brands appear in AI search. One subscription covers every product, including residential, mobile, ISP and datacenter proxies, Web Unblocker and an agent browser, so a team can mix approaches without new contracts. Entry pricing is the lowest here: $5 in welcome credits, then Starter at $15 a month, Basic at $100 and Flexible at $500, with Enterprise from $2,500. Scrape results start at $0.50 per 1,000 and fall to $0.25 at volume, but rendered Google results cost $1.35 per 1,000 on small plans. Expect to spend some time choosing between the many products.

Browse AI is the friendliest tool here for people who never want to see a selector. You paste a URL, its AI reads the page and proposes columns, and you approve or add fields in plain language. Robots can then run on a schedule, monitor for changes and adapt when a site's layout shifts, and every plan includes unlimited robots, residential proxies and CAPTCHA handling. Results go out through a REST API, webhooks or integrations with Google Sheets, Airtable, Zapier and more than 9,000 apps, and bulk runs handle up to 500,000 pages. Pricing is credit based. The free plan gives 50 credits a month across 2 domains, Personal costs $19 a month billed annually at $228 for 12,000 credits, and Professional costs $69 a month billed annually for 60,000 credits, 10 domains and 10 team members. Domain caps and premium sites that cost up to 10 credits a run limit it for very large crawls.

Octoparse gives non-developers three ways to build a scraper: run one of its templates for sites like Google Maps, Amazon or X, let the AI Assistant browse a site and build the task, or start from auto-detect in the desktop app and refine with drag and drop. Tasks can fill forms, log in, scroll and clear CAPTCHAs. The free plan runs up to 10 tasks on your own computer with unlimited pages per run but caps exports at 50,000 rows a month. Standard moves work to Octoparse Cloud with concurrent cloud runs, 100 tasks, residential proxies, IP rotation, scheduling and an export API. Professional raises that to 250 tasks and more concurrent cloud runs and adds Google Sheets, Dropbox and S3 delivery. Paid plans include a single user, so team collaboration needs Enterprise, and cloud capacity is lower than the API tools offer for very large jobs. The paid prices on its pricing page changed between our visits, so confirm the current rate before you subscribe.

ScraperAPI covers the same ground as other scraping APIs, rotating proxies, rendering JavaScript and handling CAPTCHAs on every plan, and adds features that suit ecommerce and search work. Structured endpoints return parsed JSON for Amazon search and product pages, Google Search, Shopping, News and Jobs, and Walmart, so teams do not maintain parsers for those sites. An Async Scraper accepts millions of requests, and DataPipeline schedules collection without code. Every plan includes unlimited bandwidth and a 99.9% uptime guarantee. The 7-day trial gives 5,000 credits with no card. Paid plans start at $49 a month for 100,000 credits and 20 concurrent threads, rising to $149 for 1 million credits and $299 for 3 million with global geotargeting. That entry price is higher than ScrapingBee's for fewer credits, and the two cheapest plans limit geotargeting to US and EU regions, which matters for teams collecting local prices or search results elsewhere.

ParseHub is one of the older visual scrapers and still works well for straightforward jobs. You click elements in its desktop app to extract text, images or attributes, and it copes with JavaScript pages, logins, infinite scroll, forms and dropdowns. Runs happen on ParseHub's servers, and results come out as CSV or JSON, through a REST API and webhooks, or into Google Sheets and Tableau. The free plan allows 200 pages per run across 5 public projects with 14 days of data retention, which is enough for a student or journalist testing an idea, and schools can get free Standard licenses. Paid plans are where it falls behind. Standard costs $189 a month for 10,000 pages per run and 20 private projects, and Professional costs $599 for unlimited pages and 120 projects. Newer no-code tools offer AI-built scrapers, templates and stronger anti-blocking for less, so ParseHub ranks last for teams working at scale.