The 12 Best Web Scraping Tools in 2026: Tested by Use Case

Denis Kryukov 20 Aug 2026 18 min read

What Is a Web Scraping Tool?

A web scraping tool extracts structured data from websites automatically, replacing what would otherwise be hours of copy-paste with a script, API call, or no-code workflow. The right tool depends on your use case: developers building custom pipelines, analysts running one-off market research, and AI teams collecting training data all need different things. Here are the 12 best web scraping tools in 2026, grouped by use case.

How We Picked These Tools (Methodology)

We evaluated 30+ web scraping tools across four criteria: 

1. Anti-bot reliability: how often it successfully scrapes major targets like Amazon, Google, and Instagram without manual intervention.
2. Pricing transparency: clear public pricing and a credible free tier.
3. Scalability: whether it handles 10 URLs or 10 million. 
4. Ease of use for its target audience: a no-code tool is judged on UI, an API on docs and SDK quality.

The 12 tools below earned a slot because they're the best in their category. Pricing was verified at the time of writing; check each provider's site for current rates.

Quick Comparison Table

The 12 Best Web Scraping Tools in 2026

ScraperAPI: Best for developers who need a drop-in scraping API

ScraperAPI is a managed web scraping API that handles proxy rotation and browser rendering, best suited to developers who want reliable page retrieval without maintaining their own scraping infrastructure.

What it does: Developers send a target URL and API key to a single endpoint. ScraperAPI selects a proxy, retries failed requests, handles CAPTCHA challenges, and can render JavaScript before returning the page content. It also supports asynchronous requests, scheduled DataPipeline workflows, and structured endpoints for selected e-commerce, search, real estate, and AI platforms.

Key features:

• Automatic proxy rotation, retries, CAPTCHA handling, and session support
• JavaScript rendering with configurable browser instructions
• Synchronous, asynchronous, and scheduled scraping workflows
• HTML, JSON, CSV, text, and Markdown outputs, depending on the workflow
• US and EU geotargeting on lower tiers, with global targeting on Business plans and above

Pros:

• Straightforward integration through a single API endpoint
• Documentation and examples for Python, Node.js, PHP, Ruby, and Java
• Supports everything from individual requests to scheduled, large-volume jobs

Cons:

• Custom extraction and parsing may still require code when a structured endpoint is unavailable
• Global country-level geotargeting requires the Business plan, which starts at $299 per month
• Plan allowances are measured in API credits, not page requests. JavaScript rendering and premium proxies use credit multipliers

Pricing: The Hobby plan starts at $49 per month and includes 100,000 API credits and 20 concurrent threads. ScraperAPI’s documentation also lists a free plan with 1,000 monthly credits, while new users can currently claim a 7-day trial with 5,000 credits and no credit card.

Best for: Developers and small engineering teams that already handle data extraction but want to outsource proxy management, retries, and browser rendering.

Bright Data: Best for large data teams that need ready-made datasets

Bright Data is a broad web data platform for enterprise teams that need managed scraping, browser automation, proxy infrastructure, and ready-made datasets from one provider.

What it does: Teams can use pre-built Scraper APIs to collect structured records from specific websites, build custom collectors in Scraper Studio, or connect Playwright, Puppeteer, and Selenium to its Browser API. Bright Data also provides pre-collected and customizable datasets that can be purchased once or refreshed on a schedule.

Key features:

• More than 1,000 maintained, site-specific scrapers that return structured JSON or CSV
• Automatic proxy management, CAPTCHA handling, browser rendering, and data validation
• Bulk requests for up to 5,000 URLs, scheduled collection, and unlimited concurrency
• Remote browser automation through Playwright, Puppeteer, and Selenium
• Structured datasets in JSON, NDJSON, CSV, XLSX, and Parquet, with several cloud and direct-delivery options

Pros:

• Covers scraping APIs, browser automation, proxy infrastructure, and datasets within one platform
• Pre-built scrapers can reduce the extraction and parser maintenance required for supported websites
• Provides API, no-code, and custom development workflows for different technical requirements

Cons:

• The large product catalog and range of configuration options create a steeper learning curve than a single-purpose scraping API
• Products use different billing units, including records, page loads, bandwidth, and proxy IPs, which can make cost comparisons difficult
• The first discounted Web Scraper API plan costs $499 per month, so smaller teams may need to remain on pay-as-you-go pricing

Pricing: Bright Data provides 5,000 shared free credits per month for its Web Scraper API, Scraper Studio, Web Unlocker API, and SERP API, with no credit card required. Web Scraper API pay-as-you-go pricing starts at $1.50 per 1,000 successfully delivered records. The Scale plan costs $499 per month and includes 384,000 records. Browser API, proxy products, and datasets are priced separately.

Best for: Large data and engineering teams that want several collection methods under one provider, particularly teams that need maintained website scrapers or ready-made datasets.

Oxylabs: Best for large-scale e-commerce and SERP data collection

Oxylabs is an enterprise web data platform for teams that need localized e-commerce, search engine, and general web data at high volumes.

What it does: Developers submit a URL or choose a preconfigured target through the Oxylabs Web Scraper API. The service manages proxy rotation, CAPTCHA handling, JavaScript rendering, and parsing before returning raw HTML or structured JSON. Its infrastructure includes more than 177 million proxies across 195 countries.

Key features:

• Preconfigured endpoints for Google, Amazon, other e-commerce platforms, and additional public websites
• Automatic proxy rotation with location, language, and custom-header controls
• JavaScript rendering and built-in CAPTCHA handling
• Raw HTML responses and structured JSON through adaptive or custom parsers
• Batch requests, recurring job scheduling, and cloud storage integrations

Pros:

• Combines a large global proxy network with maintained, target-specific scraping endpoints
• Supports both ready-to-use structured results and raw HTML for custom extraction
• Includes 24/7 support and a dedicated account manager on regular paid plans

Cons:

• The API-first workflow generally requires code and technical integration
• The free option is a limited trial rather than a recurring free tier
• Costs vary by target and whether JavaScript rendering is enabled. Media downloads are billed separately, and HTTP 4xx responses still count as successful, billable results

Pricing: The Micro plan starts at $49 per month and can provide up to 98,000 Amazon results without JavaScript rendering. On this plan, Amazon requests cost $0.50 per 1,000 results, Google requests cost $1 per 1,000 results, and other non-rendered requests cost $1.15 per 1,000 results. Rendered results cost $1.35 per 1,000. A free trial includes up to 2,000 results and does not require a credit card.

Best for: Large data and engineering teams that need high-volume, localized e-commerce or SERP data without maintaining their own proxy, browser-rendering, and parsing infrastructure.

Infatica Web Scraper API: Best for production scraping on a budget

Infatica Web Scraper API is a managed scraping service for developers who need integrated proxies, browser rendering, and structured page retrieval without maintaining their own collection infrastructure.

What it does: Developers send a target URL and request settings to a single API endpoint. Infatica routes the request through its residential proxy infrastructure and can apply country, language, device, browser, and session settings before returning HTML or JSON. Pro plans add JavaScript rendering through a managed browser.

Key features:

• Datacenter and residential proxy routing with automatic rotation
• JavaScript rendering for dynamic websites
• Country, language, device, browser, custom-header, and session controls
• HTML and JSON responses
• Dedicated endpoints for Google SERPs, AI Overviews, ChatGPT, Gemini, and Perplexity on eligible plans

Pros:

• Low starting price compared with many managed scraping APIs
• Proxies and rendering infrastructure are included, so users do not need a separate proxy subscription
• Trial customers receive onboarding assistance from Infatica’s engineers
• Infatica documents its consent-based sourcing and security controls

Cons:

• Integration requires code, although a separate no-code Data Platform is available
• AI Search endpoints require a Pro plan
• Unless a specialized endpoint or parser is available, developers may still need to extract the required fields from the returned page content

Pricing: The Pro Micro plan starts at $18 per month and includes 23,000 requests, JavaScript rendering, JSON parsing, residential proxies, and US and EU geotargeting. The Basic Micro plan costs $19 per month and includes 67,000 requests, JSON parsing, and datacenter proxies. A 7-day free trial provides 5,000 successful requests without requiring a credit card.

Best for: Developers and growing data teams that need a production-ready scraping API with integrated proxy infrastructure and optional browser rendering at a comparatively low starting price.

Apify: Best for ready-made scrapers and custom automation workflows

Apify is a cloud platform and marketplace for teams that want to run ready-made web scrapers or build reusable data collection and automation tools of their own.

What it does: Apify packages scrapers and automation programs as “Actors.” Users can configure a public Actor through a visual interface or run it through an API, CLI, or schedule. Developers can also build private Actors with JavaScript or Python, then deploy them using Apify’s cloud compute, proxy, storage, and monitoring infrastructure.

Key features:

• More than 56,000 ready-to-run scraping and automation tools in the Apify Store
• Custom Actor development with JavaScript and Python SDKs
• Built-in scheduling, monitoring, webhooks, cloud storage, and proxy access
• Dataset exports in JSON, JSONL, CSV, Excel, XML, HTML, and RSS
• Integrations with tools such as Google Drive, Snowflake, Zapier, Make, n8n, and AI agent frameworks

Pros:

• Offers both no-code access to existing scrapers and a programmable platform for custom workflows
• Covers deployment, proxy management, scheduling, storage, and integrations in one environment
• Large marketplace provides specialized Actors for many websites and data collection tasks

Cons:

• Community-built Actors vary in quality, documentation, maintenance, and support
• Building or substantially modifying an Actor requires development skills and knowledge of Apify’s platform
• Costs can be difficult to estimate because compute, proxies, storage, data transfer, and paid Actor fees may all contribute to the final bill

Pricing: The free plan includes $5 in monthly platform usage and does not require a credit card. The Starter plan costs $29 per month and includes $29 to spend on platform usage or Actors, with additional usage billed separately. Compute costs $0.20 per compute unit on both plans, while residential proxies cost $8 per GB. Some Store Actors have their own per-result, per-event, per-run, or subscription fees.

Best for: Teams that want to start with ready-made website scrapers but retain the option to build, deploy, and automate custom data collection workflows.

Octoparse: Best for no-code, scheduled web scraping

Octoparse is a visual web scraping tool for non-technical users who want to collect data from dynamic websites without writing and maintaining scraping code.

What it does: Users enter a URL in Octoparse’s built-in browser, then let its AI-powered Auto-detect feature draft an extraction workflow. They can customize the workflow through a point-and-click interface, configure pagination and scrolling, and run it locally or through Octoparse’s cloud infrastructure.

Key features:

• Visual workflow builder with AI-assisted field and page-structure detection
• Support for JavaScript, AJAX, pagination, infinite scrolling, and other interactive page elements
• More than 500 preset scraping templates on paid plans
• Scheduled cloud extraction with proxy rotation and automatic CAPTCHA handling
• Exports to Excel, CSV, JSON, HTML, XML, Google Sheets, databases, and cloud storage, depending on the plan

Pros:

• Lets non-technical users build custom scrapers through a visual interface
• Provides local extraction, managed cloud execution, templates, and integrations within one platform
• Free plan supports up to 10 tasks and 50,000 exported rows per month

Cons:

• More complex websites may still require XPath adjustments and manual workflow configuration
• Cloud extraction, scheduling, API access, and managed proxy features require a paid plan
• The desktop application supports Windows and macOS, but not Linux or Chromebooks, and Octoparse does not currently provide a full web-based builder

Pricing: The free plan includes 10 tasks, two concurrent local runs, and up to 50,000 exported rows per month, with a limit of 10,000 rows per export. The Standard plan costs $83 per month, or $69 per month when billed annually. It includes 100 tasks, scheduled cloud extraction, up to three concurrent cloud processes, unlimited exports, templates, and API access. Residential proxy traffic and CAPTCHA handling may incur additional usage charges.

Best for: Analysts, marketers, researchers, and small business teams that need recurring website data but do not want to develop and host their own scrapers.

ParseHub: Best for visually building complex scraping workflows

ParseHub is a visual web scraping tool for users who need to extract data from interactive, multi-page websites without developing a scraper from scratch.

What it does: Users open a website in ParseHub’s desktop application and select the fields they want to collect. They can then add commands for pagination, scrolling, clicks, dropdowns, and other interactions. Projects can be run manually, on a schedule with a paid plan, or through the ParseHub API.

Key features:

• Point-and-click interface with CSS and XPath selectors for more precise configuration
• Support for JavaScript, AJAX, pagination, infinite scrolling, pop-ups, dropdowns, and hover interactions
• Advanced workflow commands for loops, conditions, relative selections, and regular expressions
• CSV, Excel, and JSON exports, plus API-based delivery to applications and Google Sheets
• Scheduling, IP rotation, parallel runs, and Dropbox or Amazon S3 integrations on paid plans

Pros:

• Handles complex, interactive workflows that may be difficult to configure in simpler no-code tools
• Provides enough advanced logic for users to refine projects without writing a complete scraper
• Offers desktop applications for Windows, macOS, and Linux

Cons:

• Complex projects still have a learning curve because users must understand ParseHub’s command and template structure
• The free plan is limited to five public projects and 200 pages per run, without scheduling or IP rotation
• Paid plans are expensive compared with several other visual scraping tools

Pricing: The free plan includes five public projects, up to 200 pages per run, and 14 days of data retention. The Standard plan costs $189 per month and includes 20 private projects, 10,000 pages per run, scheduling, IP rotation, and faster processing. The Professional plan costs $599 per month and provides 120 private projects, unlimited pages per run, priority support, and 30 days of data retention.

Best for: Researchers, analysts, and other non-developers who need to build customized extraction workflows for dynamic websites with pagination, scrolling, or multiple interactive steps.

Scrapy: Best for developers building custom Python crawlers

Scrapy is a free, open-source Python framework for developers who want full control over how websites are crawled, parsed, and processed.

What it does: Developers create spiders that define which pages to request, which links to follow, and which fields to extract. Scrapy’s asynchronous engine can process multiple requests concurrently, while its item pipelines clean, validate, transform, and store the resulting data.

Key features:

• Asynchronous crawling with configurable concurrency, download delays, and automatic throttling
• CSS and XPath selectors, regular expressions, and an interactive shell for testing extraction logic
• Built-in handling for cookies, sessions, retries, redirects, caching, authentication, and crawl-depth limits
• Extensible middleware, pipelines, signals, and extensions for customizing each stage of a crawler
• JSON, JSON Lines, CSV, and XML exports, with local, FTP, Amazon S3, and Google Cloud Storage delivery options

Pros:

• Free to use without request limits, subscriptions, or platform usage fees
• Suitable for fast, large-scale crawls because requests are processed asynchronously
• Highly customizable, with a mature architecture and extensive official documentation

Cons:

• Requires Python knowledge and more development work than a managed scraping API or visual tool
• Does not render JavaScript in a browser by itself. Developers must access the underlying data source or integrate a browser automation tool
• Hosting, scheduling, monitoring, proxy infrastructure, and ongoing scraper maintenance remain the user’s responsibility

Pricing: Scrapy is free and distributed under the BSD 3-Clause license. There are no paid plans or usage limits, but teams must cover their own hosting, storage, proxy, and third-party service costs.

Best for: Python developers and engineering teams that need flexible, large-scale crawlers and are prepared to manage the surrounding infrastructure themselves.

BeautifulSoup: Best for simple HTML parsing in Python

BeautifulSoup is a free Python library that makes it easier to navigate, search, and extract data from HTML and XML documents.

What it does: Developers pass downloaded markup to BeautifulSoup, which converts it into a searchable parse tree. They can then locate elements by tag, attribute, text, or CSS selector, extract the required values, and clean or modify the document. BeautifulSoup is commonly paired with Requests for downloading pages or a browser automation tool for obtaining rendered HTML.

Key features:

• Straightforward methods such as find(), find_all(), select(), and get_text()
• Navigation through parent, child, and sibling elements in the document tree
• CSS selector support through the bundled Soup Sieve library
• Support for Python’s built-in HTML parser, plus lxml and html5lib
• Automatic character-encoding detection and tools for parsing only selected parts of a document

Pros:

• Beginner-friendly API with extensive official documentation
• Works with imperfect HTML and lets developers choose a parser based on speed or parsing behavior
• Lightweight and flexible enough for small scripts, data-cleaning tasks, and prototypes

Cons:

• Does not download pages, crawl links, render JavaScript, or manage proxies by itself
• Requires Python code and a separate library or service for the rest of the scraping workflow
• Can be slower than using lxml directly, particularly for large documents or high-volume extraction

Pricing: BeautifulSoup is free and distributed under the MIT License. There are no subscriptions, request limits, or usage fees, although developers must provide their own hosting, proxies, storage, and supporting libraries.

Best for: Python beginners and developers who need an approachable way to extract information from static HTML or XML without the broader crawling architecture of a framework such as Scrapy.

See our guide to web scraping with Python and Beautiful Soup.

Playwright: Best for scraping JavaScript-heavy websites

Playwright is a free, open-source browser automation framework for developers who need to interact with dynamic websites and extract content after it has been rendered.

What it does: Developers use Playwright to control Chromium, Firefox, or WebKit in headless or visible mode. Scripts can navigate pages, click elements, complete forms, scroll through content, monitor network traffic, and extract data from the rendered DOM. Official libraries are available for TypeScript, JavaScript, Python, Java, and .NET.

Key features:

• Cross-browser automation through a consistent API for Chromium, Firefox, and WebKit
• Automatic waiting for elements to become visible, stable, enabled, and ready for interaction
• Browser contexts for isolating cookies, sessions, permissions, and other browsing state
• Network monitoring and interception for working with requests, responses, and API calls
• Code generation, screenshots, PDF creation, downloads, and mobile device emulation

Pros:

• Handles JavaScript rendering, interactive elements, infinite scrolling, and other browser-dependent workflows
• Supports several programming languages and works on Windows, macOS, and Linux
• Free, actively maintained, and supported by extensive official documentation

Cons:

• Requires programming knowledge and more setup than a visual scraper or managed API
• Does not provide managed proxy rotation, scheduling, storage, or data delivery infrastructure
• Running complete browsers consumes more memory and processing power than sending direct HTTP requests, particularly at high volumes

Pricing: Playwright is free and distributed under the Apache 2.0 License. It has no subscriptions, request limits, or platform usage charges, but users must pay for their own hosting, proxies, storage, and supporting infrastructure.

Best for: Developers who need precise control over browser interactions when scraping JavaScript-heavy websites, single-page applications, or pages that reveal data only after clicks, scrolling, or other user actions.

Learn more about scraping JavaScript-heavy websites with Playwright.

Firecrawl: Best for turning websites into AI-ready data

Firecrawl is an open-source web data API that converts individual pages or entire websites into clean Markdown and structured data for AI applications.

What it does: Developers provide a URL, website, or search query through the Firecrawl API. The service retrieves the relevant pages, renders JavaScript when required, and returns their content in a machine-readable format. It can also discover website URLs, crawl multiple pages, and interact with dynamic elements through prompts or browser automation code.

Key features:

• Markdown, HTML, raw HTML, screenshots, links, and schema-based JSON outputs
• Website crawling and URL discovery through dedicated Crawl and Map endpoints
• Web search with optional full-content extraction from the returned results
• Managed browser rendering, proxy rotation, caching, and location controls
• Browser interaction through natural-language prompts or Playwright code

Pros:

• Produces clean, compact content that can be passed directly to LLMs and retrieval pipelines
• Combines search, scraping, crawling, structured extraction, and browser interaction within one API
• Offers an open-source version for teams that want to inspect the code or host the service themselves

Cons:

• Production workflows generally require code or integration through an automation platform
• Credit usage varies by feature. Structured JSON, enhanced scraping, search, and browser interaction can consume more than one credit
• Firecrawl does not offer pay-as-you-go pricing, and unused credits on self-service plans do not roll over

Pricing: The free plan includes 1,000 credits per month, enough for up to 1,000 basic page scrapes, and allows two concurrent requests. The Hobby plan costs $16 per month when billed annually and includes 5,000 monthly credits and five concurrent requests. Basic Scrape, Crawl, and Map operations cost one credit per page, while Search costs two credits per 10 results and Interact costs two credits per browser minute.

Best for: Developers building RAG pipelines, research agents, and other AI applications that need clean, LLM-ready content from websites without maintaining their own crawling and browser infrastructure.

Web Scraper: Best for free, browser-based visual scraping

Web Scraper is a no-code browser extension that lets users build and run visual scraping workflows directly on live web pages.

What it does: Users can let the AI-powered Sitemap Wizard identify repeating data automatically or define their own selector hierarchy through the Advanced Sitemap Builder. The extension can follow links, navigate pagination, scroll through dynamic pages, and extract structured data locally. Sitemaps can also be transferred to Web Scraper Cloud for automated execution.

Key features:

• Free browser extensions for Chrome, Firefox, and Edge
• AI-assisted setup and an advanced visual builder for custom workflows
• Selectors for text, links, images, HTML, tables, and element attributes
• Support for pagination, infinite scrolling, detail pages, and JavaScript-powered websites
• Optional cloud scheduling, proxies, retries, API access, webhooks, data validation, and automated exports

Pros:

• Free for unlimited local scraping, with no account or coding required
• Lets users visually build multi-page workflows rather than manually entering CSS or XPath selectors
• Locally created sitemaps can be synced to the cloud when automation or greater scale is required

Cons:

• Local scraping depends on the user’s browser and computer, making it less suitable for unattended or recurring jobs
• The free extension does not include scheduling, proxy rotation, API access, webhooks, or automatic cloud delivery
• Complex websites may still require users to understand selector relationships, page-loading delays, and element behavior

Pricing: The browser extension is free for unlimited local use and supports CSV and XLSX exports. Web Scraper Cloud offers a 7-day trial without a credit card. The Project plan costs $50 per month when billed annually and includes 5,000 URL credits, two concurrent scrapers, and 30 days of data retention. The Professional plan costs $100 per month when billed annually and includes 20,000 URL credits and three concurrent scrapers.

Best for: Non-technical users who want a free visual tool for occasional local scraping, with the option to move established workflows to a managed cloud platform later.

How to Choose a Web Scraping Tool

Web Scraping Tools FAQ

Final Thoughts & Recommendation

Want to test Infatica before adding it to your stack?

5,000 Web Scraper API requests, free, no credit card. JSON output fits easily into existing data pipelines. Ethically sourced network of 35M+ residential IPs behind it. 4 ISO certifications.