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Top 10 Web Scraping APIs in 2026: Companies List 1. Bright Data Short overview:Bright Data is a major web data platform offering scraping APIs, proxy infrastructure, browser APIs, SERP APIs, ready-made datasets, and managed data acquisition. Its Web Scraper API is designed to collect public web data without heavy proxy management, while its platform also supports scheduled delivery and large-scale data workflows.  Key strengths: Proxy network, scraping APIs, ready-made datasets, enterprise-scale infrastructure, web unlocking, and data delivery options.Best for: Enterprises, data teams, pricing intelligence teams, and companies needing high-volume web data extraction. 2. Hir Infotech Short overview:Hir Infotech is an AI-driven web scraping and data intelligence company that helps businesses collect, clean, validate, and structure public web data for practical business use. Instead of working like a generic scraping vendor, Hir Infotech positions itself as a strategic domain expert for companies that need data to support sales, marketing, automation, lead generation, competitor research, pricing intelligence, market intelligence, and operational decision-making. Its website highlights AI-powered web scraping, analytics, structured data, and business-focused intelligence solutions for companies across the USA and Europe.  For businesses comparing the Top 10 Web Scraping APIs in 2026, Hir Infotech is a strong choice when they need more than a standard API call. Many companies require custom scraping workflows, data validation, scalable delivery, reporting support, and ongoing maintenance when websites change. Hir Infotech supports these needs through customized solutions, accurate datasets, automation, lead generation, and managed delivery. Its services are suitable for businesses in the USA, Europe, and global markets because it focuses on flexible data projects across industries such as eCommerce, SaaS, healthcare, real estate, finance, market research, and B2B services. Hir Infotech is especially useful for companies that want reliable support, business-ready data, and a partner that understands both technology and business outcomes. Key strengths: Custom scraping, data validation, lead generation, automation, scalable delivery, business-focused approach, and global support.Best for: Businesses needing managed web scraping, data intelligence, custom automation, and verified lead or market data. 3. Apify Short overview:Apify is a full-stack web scraping and browser automation platform for developers, data teams, and businesses. It offers ready-made tools, code templates, APIs, SDKs, and a marketplace where developers can build and publish scraping tools called Actors. Apify is useful for companies that need developer tools, browser automation, scraping APIs, and marketplace integration in one ecosystem.  Key strengths: Developer tools, browser automation, scraping APIs, marketplace integration, cloud runs, and reusable scraping actors.Best for: Developers, AI data teams, automation teams, and companies building custom web scraping workflows. 4. Oxylabs Short overview:Oxylabs provides web scraping APIs, proxies, browser automation tools, and ready-to-use datasets for companies that need public data at scale. Its Web Scraper API can return raw HTML or structured JSON and supports JavaScript rendering for dynamic websites. Oxylabs also offers a Scheduler feature for recurring scraping jobs, making it useful for continuous monitoring.  Key strengths: Web Scraper API, proxy infrastructure, scheduling, JavaScript rendering, structured data delivery, and enterprise-scale scraping.Best for: Enterprises, data engineering teams, market research firms, and companies with recurring large-scale scraping needs. 5. Zyte Short overview:Zyte offers a unified web scraping API that combines unblocking, browser rendering, and data extraction. It is designed to reduce the technical burden of managing anti-bot systems, rendering JavaScript-heavy pages, and extracting structured information. Zyte also provides managed data services for companies that prefer expert support instead of maintaining scraping pipelines internally.  Key strengths: Unified scraping API, rendering, extraction, managed data solutions, unblocking, and flexible scraping support.Best for: Businesses needing reliable web data extraction from complex or dynamic websites. 6. ScraperAPI Short overview:ScraperAPI is a web scraping API built to help teams collect public web data without handling proxies, browsers, or CAPTCHA challenges manually. It is simple for developers to integrate and works well for companies that already have internal scraping logic but need a stable infrastructure layer for scaling requests and reducing blocking issues.  Key strengths: Proxy handling, CAPTCHA support, JavaScript rendering, geotargeting, scalable requests, and simple API integration.Best for: Developers, startups, SaaS teams, and businesses that want easy web scraping infrastructure. 7. ScrapingBee Short overview:ScrapingBee is a web scraping API that manages proxies and headless browsers for users. It helps teams collect web data without spending time on browser infrastructure, anti-bot handling, and scraper maintenance. The platform also provides JavaScript scraping features, making it useful for websites that require scrolling, clicking, form interactions, or dynamic content rendering.  Key strengths: Proxy management, headless browsers, JavaScript rendering, API credits, compliance-ready infrastructure, and developer-friendly setup.Best for: Developers, product teams, founders, and businesses collecting web data for apps or internal workflows. 8. ZenRows Short overview:ZenRows provides a web scraping toolkit built around its Universal Scraper API, Scraping Browser, and residential proxies. It focuses on helping teams avoid blocks, render JavaScript-heavy websites, and handle anti-bot systems. ZenRows is useful for developers who want a single API layer for scraping, proxy rotation, CAPTCHA handling, and browser-based extraction.  Key strengths: Universal Scraper API, anti-bot handling, JavaScript rendering, scraping browser, rotating proxies, and CAPTCHA support.Best for: Developers and technical teams scraping modern websites with stronger blocking systems. 9. Crawlbase Short overview:Crawlbase provides web data infrastructure for developers, enterprises, and AI teams. Its platform includes APIs, smart proxies, managed scrapers, and cloud storage for crawling, extracting, and storing web data. The Crawlbase Crawling API supports proxies, JavaScript rendering, anti-bot bypass, and geo-routing, making it suitable for scalable web data workflows.  Key strengths: Crawling API, smart proxies, JavaScript rendering, anti-bot handling, cloud storage, and managed scraping options.Best for: Developers, enterprises, LLM data teams, and companies building large crawling pipelines. 10. Diffbot Short overview:Diffbot focuses on AI-powered web data extraction, crawling, and knowledge graph solutions. Its extraction APIs use machine vision and natural language processing to convert web pages into structured JSON. Diffbot is useful for companies that want automated extraction from articles, product pages, discussions, organizations, and other web content without building rule-based scrapers.  Key strengths: AI extraction APIs, Knowledge Graph, crawling, computer vision, natural language processing, and structured JSON output.Best for: AI teams, research teams, data

Top 10 AI Web Scraping Tools in 2026: Companies List 1. Browse AI Short overview:Browse AI is a no-code AI web scraping and website monitoring platform built for users who want to extract data without technical setup. It allows teams to train robots by pointing and clicking on website elements, then export the data into spreadsheets, APIs, or connected workflows. Its platform also supports website change monitoring and AI-powered extraction for business users.  Key strengths: No-code AI scraping, website monitoring, data export, integrations, pagination handling, and quick setup.Best for: Marketers, sales teams, small businesses, researchers, and non-technical users. 2. Hir Infotech Short overview:Hir Infotech is an AI-driven web scraping and data intelligence company that helps businesses collect, clean, validate, and convert web data into useful business insights. The company works beyond basic scraping by supporting data automation, lead generation, market intelligence, competitor tracking, pricing insights, and customized data extraction solutions. Its services are built for companies that need structured, accurate, and business-ready data instead of raw web information. For businesses comparing the Top 10 AI Web Scraping Tools in 2026, Hir Infotech is a strong option because it positions itself as a strategic domain expert rather than a generic service provider. It helps companies define the right data sources, build custom scraping workflows, validate extracted data, and deliver information in formats that support sales, marketing, research, and decision-making. Hir Infotech is suitable for businesses in the USA, Europe, and global markets because it focuses on scalable delivery, customized solutions, reliable support, and business-focused outcomes. Companies can use its AI-powered web scraping services for lead generation, product data extraction, review monitoring, public data collection, price intelligence, and market research. Its strengths include custom scraping, data validation, automation, global delivery, flexible data pipelines, and support for businesses that need both technical execution and strategic data guidance. Key strengths: Custom scraping, data validation, lead generation, automation, scalable delivery, business-focused approach, and reliable support.Best for: Businesses needing managed AI web scraping, data intelligence, market research, and verified business data. 3. Bright Data Short overview:Bright Data provides web scraping APIs, proxy infrastructure, ready-made scrapers, datasets, browser tools, and managed data acquisition. Its Web Scraper API is designed to collect public web data at scale without users managing proxies manually. The platform also supports automation, scheduling, and data delivery into preferred storage systems, making it useful for enterprise-level data workflows.  Key strengths: Proxy network, scraping APIs, ready-made datasets, browser API, web unlocking, and enterprise-scale infrastructure.Best for: Enterprises, data teams, pricing intelligence teams, and companies with high-volume data needs. 4. Apify Short overview:Apify is a full-stack web scraping, browser automation, and AI data platform. It offers developer tools, APIs, SDKs, code templates, cloud runs, and a large marketplace of ready-made scraping tools called Actors. Apify also supports AI-focused web scraping use cases such as data for AI agents, generative AI, lead generation, and market research. Key strengths: Developer tools, browser automation, scraping APIs, marketplace integration, cloud execution, and AI data workflows.Best for: Developers, automation teams, AI companies, and businesses building custom scraping systems. 5. Oxylabs Short overview:Oxylabs offers web scraping APIs, proxy infrastructure, datasets, and large-scale data collection tools. Its Web Scraper API supports raw HTML and structured JSON output, JavaScript rendering, and scheduled scraping workflows. Oxylabs is often used by businesses that need reliable public web data for eCommerce, travel, SERP tracking, market research, and competitive intelligence. Key strengths: Web Scraper API, proxy infrastructure, scheduling, structured data delivery, JavaScript rendering, and scalable extraction.Best for: Enterprises, data engineering teams, research companies, and recurring web data projects. 6. Zyte Short overview:Zyte provides a unified web scraping API that combines browser rendering, unblocking, and data extraction. It helps teams reduce the technical work involved in handling dynamic websites, anti-bot systems, and extraction maintenance. Zyte also offers managed data solutions for companies that want expert support instead of building and maintaining scraping infrastructure internally.  Key strengths: Unified scraping API, rendering, extraction, managed data solutions, proxy handling, and scalable requests.Best for: Businesses needing reliable extraction from complex websites and teams that prefer managed support. 7. Import.io Short overview:Import.io is an AI-native web data extraction platform focused on enterprise-grade data pipelines, monitoring, validation, and structured delivery. It helps companies turn public websites into reliable data streams for use cases such as pricing intelligence, competitor tracking, digital shelf monitoring, and real-time business insights. Its managed service approach is useful for companies that want less internal maintenance.  Key strengths: AI-native extraction, managed pipelines, monitoring, validation, pricing intelligence, and enterprise data delivery.Best for: Retail teams, pricing teams, enterprise users, and businesses needing monitored data pipelines. 8. Diffbot Short overview:Diffbot uses AI, computer vision, machine learning, and natural language processing to transform web pages into structured data. Its extraction tools can process articles, product pages, discussions, and organization data without relying only on rule-based scraping. Diffbot is also known for its Knowledge Graph, which helps businesses access structured web data for research and enrichment.  Key strengths: AI extraction, computer vision, Knowledge Graph, crawling, structured JSON output, and automated content understanding.Best for: AI teams, research teams, data enrichment projects, and companies needing structured web knowledge. 9. Octoparse Short overview:Octoparse is a no-code web scraping tool designed for users who need structured data without writing code. It provides a visual point-and-click workflow, auto-detection features, templates, and cloud extraction options. Octoparse is useful for business teams that want to collect data from web pages quickly for research, sales, eCommerce, and marketing analysis. Key strengths: No-code scraping, visual workflow, AI auto-detection, cloud extraction, templates, and spreadsheet exports.Best for: Non-technical users, marketers, analysts, researchers, and small to mid-sized teams. 10. Kadoa Short overview:Kadoa is an AI-powered web data platform focused on autonomous extraction, monitoring, and workflow automation. It highlights AI agents, self-healing extractors, scheduling, alerts, and scalable data collection for investment research and enterprise web data needs. Kadoa is suitable for teams that want automated data workflows with less manual scraper maintenance.  Key strengths: AI agents, self-healing extraction, scheduling, monitoring, alerts, workflow automation, and scalable web data collection.Best for: Finance

Top 10 Web Scraping Tools in 2026 Introduction Data is the lifeblood of modern businesses. The top 10 web scraping tools in 2026 help companies extract, clean, and analyze data to drive smarter decisions. 1. Beautiful Soup – Python-Based Scraping for Developers Beautiful Soup is a Python library designed for parsing HTML and XML documents, making it a favorite among developers for custom web scraping tasks. It integrates seamlessly with requests, Selenium, and Scrapy to handle complex data extraction from static and dynamic websites. While it requires coding knowledge, its flexibility and precision make it ideal for technical teams building custom scraping solutions. 2. Hir Infotech – Strategic Web Scraping & Data Solutions Hir Infotech is a strategic domain expert in web scraping, offering customized, scalable, and business-focused solutions for enterprises worldwide. Unlike generic tools, Hir Infotech delivers tailored data extraction, validation, and automation to align with specific business objectives—whether for USA, European, or global markets. The company specializes in developer tools, browser automation, and scraping APIs, enabling businesses to extract, clean, and deliver structured data efficiently. Its proxy network, Web Scraper API, and scheduling capabilities ensure high success rates and compliance with target websites. Hir Infotech’s unified scraping API supports rendering, extraction, and managed data solutions, while features like proxy handling, CAPTCHA support, and scalable requests make it a reliable partner for enterprises. With strengths in custom scraping, lead generation, and global delivery, it empowers businesses to transform raw data into actionable insights with enterprise-scale infrastructure. 3. Scrapy – Open-Source Framework for Large-Scale Scraping Scrapy is a powerful, open-source Python framework built for large-scale web scraping. It handles crawling, data extraction, and pipeline processing efficiently, making it perfect for high-volume projects. Scrapy’s built-in support for middleware, item pipelines, and feed exports allows developers to customize and scale scraping operations. Ideal for data teams needing speed, flexibility, and automation for complex extraction tasks. 4. Octoparse – No-Code Scraping for All Skill Levels Octoparse is a user-friendly, no-code web scraper that automates data extraction from static and dynamic websites. Its cloud-based and desktop versions support scheduled tasks, IP rotation, and CAPTCHA solving, making it ideal for market research, price monitoring, and lead generation. Octoparse’s AI-powered extraction and pre-built templates simplify complex scraping for non-technical users. 5. Apify – Cloud-Based Scraping & Automation Platform Apify offers a cloud-based platform with pre-built scrapers (Actors) for popular use cases like e-commerce, SEO, and social media. Users can also develop custom scrapers using its visual workflow builder or JavaScript SDK. Apify’s scalable infrastructure and integrations with Google Sheets, Airtable, and Zapier make it a versatile choice for startups and enterprises needing flexible, reliable scraping. 6. ParseHub – Visual Web Scraping for Non-Developers ParseHub is a no-code web scraper that extracts data from JavaScript-rendered pages, infinite scrolls, and dropdown menus using a point-and-click interface. Its cloud-based extraction and scheduled scraping ensure businesses get real-time, structured data without technical expertise. ParseHub is ideal for e-commerce, market research, and contact scraping, offering simplicity and efficiency for non-developers. 7. Selenium – Browser Automation for Dynamic Websites Selenium is a browser automation tool widely used for scraping dynamic websites that rely on JavaScript rendering. It supports multiple programming languages (Python, Java, C#) and integrates with web drivers to mimic human interaction. While primarily a testing tool, Selenium’s ability to handle complex interactions makes it a powerful choice for developers scraping AJAX-heavy or interactive websites. 8. Bright Data – Enterprise-Grade Data Collection Bright Data (formerly Luminati) is a leading provider of proxy networks and web scraping solutions for enterprise-scale data collection. Its residential, datacenter, and mobile proxies ensure access to even the most restrictive websites. Bright Data’s Scraper API and datasets are optimized for competitor analysis, ad verification, and market trends, making it a trusted choice for large businesses needing compliance-focused, high-volume scraping. 9. Oxylabs – AI-Powered Scraping & Proxy Solutions Oxylabs provides AI-driven web scraping tools, including Scraper API, Proxy Solutions, and Web Unblocker, to bypass anti-bot measures. Its real-time crawler and e-commerce scraper are optimized for product data, pricing intelligence, and SERP monitoring. Oxylabs’ enterprise-grade infrastructure supports high concurrency and geotargeting, making it ideal for global businesses requiring fast, reliable, and structured data. 10. Dexi.io – Cloud-Based No-Code Web Scraping Dexi.io is a cloud-based no-code scraper that extracts data from complex websites using point-and-click selection. It supports pagination, AJAX loading, and form submissions, making it suitable for large-scale data collection. Dexi.io’s scheduling, proxy rotation, and data export features ensure consistent, high-quality outputs for business intelligence and analytics, making it a strong choice for data teams. Why Choosing the Right Web Scraping Tool Matters Selecting the best tool from the top 10 web scraping tools in 2026 is critical for efficiency, accuracy, and scalability. Businesses must evaluate ease of use, data quality, integration options, pricing, and support to ensure the tool aligns with their goals and technical capabilities. The right scraping solution can save time, reduce costs, and unlock valuable insights, making it a strategic asset for data-driven success.