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11 Best Web Scraping Tools for 2026

Compare 11 web scraping tools on JavaScript rendering, proxy handling, and scale, with guidance on getting scraped data into your warehouse.

October 22, 2026

Last updated October 22, 2026

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TL;DR

Short answer: web scraping tools split three ways, and picking across the split is the usual mistake. No-code builders suit one-off extractions, scraping APIs handle proxies and anti-bot measures for you, and code libraries give control at the cost of building everything yourself. Decide which before comparing features. Eleven tools:

Octoparse: no-code point-and-click builder that handles JavaScript and CAPTCHAs. Easiest start.
ScraperAPI: an API that manages rotating proxies and JS rendering, so you never handle blocks yourself.
ParseHub: no-code with IP rotation and infinite-scroll support. Paid plans get expensive quickly.
ScrapingBee: scraping API with SERP support, screenshots and automatic proxy rotation.
Screaming Frog: an SEO site crawler rather than a general scraper. Right tool for site audits only.
Scrapy: the Python framework for scraping at scale. Free and fast, with a real learning curve.
Apify: a cloud platform of ready-made scrapers called Actors, plus the open-source Crawlee library for building your own.
BeautifulSoup: an HTML parser, not a scraper. Pair it with requests; it cannot render JavaScript.
Firecrawl: an open-source scraping API that turns pages into clean, LLM-ready Markdown or JSON, with a self-host option.
Playwright: open-source browser automation, and the answer for JavaScript-heavy sites. You handle proxies yourself.
Common Crawl: a free public dataset of existing crawls, not a scraper. Useful when you need breadth, not freshness.
Before you start: check the site's terms and robots.txt, and be careful with personal data. Legality varies by jurisdiction and by what you collect.

Web scraping, or data scraping, is one of the most widely used ways to collect publicly available information from websites. Demand for web scraping tools keeps growing as teams gather data for pricing, research, lead generation and, increasingly, for training and grounding AI models.

This guide compares eleven data scraping tools across no-code builders, scraping APIs, developer frameworks and public datasets, and shows where each fits.

What are web scraping tools, and why do they matter?

Web scraping, also known as web data harvesting, is the automated extraction of data from websites. Data scraping tools make it practical when a project needs data from hundreds or thousands of pages.

Web scraping tools have been developed to help you efficiently collect data from different websites. You can collate all of this information in a centralized repository, such as a local database or spreadsheet until you are ready to utilize it.

With data from web scraping tools you can run market research and competitor analysis, build machine learning models or feed business intelligence dashboards. Raw scraped data usually needs cleaning and reshaping first; see our guide to data wrangling tools for that step.

While web scraping can be done manually, data scraping tools automate it, so you can collect large volumes of data quickly. They make HTTP requests to a website's server, download the HTML or XML, and parse out the fields you need.

Take a look at some of the well-known web scraping tools in detail to make an informed decision for your business.

Tool	Category	Handles JavaScript and blocks	Main limitation
Octoparse	No-code builder	Yes, including CAPTCHA handling	API access only on Professional
ScraperAPI	Scraping API	Yes, JS rendering and rotating proxies	Request limits by plan
ParseHub	No-code builder	Yes, with IP rotation and infinite scroll	Paid plans get expensive
ScrapingBee	Scraping API	Yes, automatic proxy rotation	Credit allowances vary by plan
Screaming Frog	SEO crawler	Partial, built for site audits	Not a general-purpose scraper
Scrapy	Python framework	No by default; needs a JS add-on	Steep setup for beginners
Apify	Scraping platform	Yes, through Actors and managed proxies	Usage-based costs vary by Actor
BeautifulSoup	HTML parser	No, parsing only	Needs requests or similar to fetch pages
Firecrawl	Scraping API for AI	Yes, renders JavaScript sites	Credit-based pricing; AGPL licence if self-hosted
Playwright	Browser automation	Yes, drives a real browser	You manage proxies and retries yourself
Common Crawl	Public dataset	Not applicable, data already crawled	No control over freshness or coverage

Which web scraping tools should you consider?

While web scraping tools can provide you with a host of features that reduce the burden on your existing data processing capabilities, it is vital that you assess your organization’s data requirements before the selection. Here are some of the best web scraping tools available today!

1. Octoparse

Octoparse is a flexible web scraping tool that is crafted to be suitable for a range of users. Even if you do not have extensive experience in coding, you can utilize Octoparse to handle vast amounts of data effectively. This cloud-based solution offers cloud storage services, making it a valuable tool for accommodating varying workloads while providing you with a web scraping solution.

Key Features

Visual Point-and-Click Interface: With Octoparse’s easy-to-use visual interface, all you have to do is click and select the desired data to initiate the web scraping process.
Handling Advanced Technologies: Octoparse is capable of scraping and fetching data from websites that use technologies like JavaScript and Ajax.
Anti-Scraping Mechanism: This web scraping tool effectively deals with CAPTCHA and other anti-scraping mechanisms on websites.
Scheduled Scraping: You can schedule scraping frequencies and duration with Octoparse and set alerts to receive updates on your data.

Pricing

Octoparse offers a free plan limited to ten tasks. The Standard plan costs $83 a month, or $69 a month billed annually, and Professional costs $299 a month, or $249 billed annually, with API access, an MCP server and a CLI for developers. Enterprise plans are custom.

Pros

Superior Scraping Capabilities: It can handle websites that use sophisticated technologies like Ajax and JavaScript, guaranteeing thorough data extraction
Anti-Scraping Mechanism: To ensure continuous scraping sessions, Octoparse efficiently handles CAPTCHA and other anti-scraping mechanisms.
Scheduled Scraping: To increase automation and efficiency, users can set up scraping activities in advance and receive alerts when there are modifications.

Cons

Pricing Restrictions: Octoparse has a free plan, but it has some restrictions, such as the limited number of jobs and features that may be used.

2. ScraperAPI

ScraperAPI is a user-friendly web scraping tool designed to crawl through large data volumes. The tool exposes a single API endpoint for you to send GET requests–an HTTP request to obtain data from any source. This GET request has two query string parameters, and ScraperAPI returns the HTML response for your desired URL through an API key. You must remember to add appropriate query parameters at the end of the ScraperAPI URL.

‍Key Features

JavaScript Rendering: ScraperAPI can work around website data that is protected with JavaScript, thereby simplifying the extraction for you.
Geo-located Proxy Rotation: Geo-located rotating proxies allow you to circumvent geographic restrictions on data. With ScraperAPI, you can obtain data even from websites where anti-scraping features are enabled.
Specialized Proxy Pools: Proxies are created to streamline the scraping process and ensure that you are not blocked or censored by websites while crawling through their data. With this tool, you get access to specialized pools of proxies that can manage CAPTCHAs and browsers for various scraping types like search engines or social media scraping.
Auto Parsing: ScraperAPI collects and parses JSON data from Amazon, Google Search, and Google Shopping and presents it to you in a structured format.

Pricing

‍You can choose between three monthly pricing plans: Hobby at $49, Startup at $149, and Business at $299. There is a fourth Enterprise plan that you can customize for your organization.

Pros

JavaScript Rendering: ScraperAPI makes data extraction easier by getting around websites that are secured by JavaScript
Geo-located rotating proxies: These are provided in order to get around geographical limitations and anti-scraping protocols.
Auto Parsing: To expedite the scraping process, ScraperAPI automatically gathers and parses JSON data from particular sources.

Cons

Restricted API Queries: Scalability may be impacted by pricing plans that place restrictions on the number of concurrent requests and API queries.

3. ParseHub

ParseHub is another web scraping tool that allows you to conduct data extraction from websites without coding. Its simple user interface helps you to collect data from multiple sources. The platform offers a ParseHub expression that functions similar to the regular expressions used in programming languages. You can set a conditional (if) command with ParseHub to filter certain results during the scraping process. This can include instances where you need data for top-rated reviews of a product or scraping specific values from certain web pages. The feature eliminates the need for additional refinement of data after collection, saving valuable time.

‍Key Features

Infinite Scroll: It is a technique where additional content keeps loading automatically at the bottom of a web page, allowing you to scroll down continuously without navigating to the next page. It is also known as lazy loading, and ParseHub utilizes it to extract data for you.
IP Rotation: ParseHub spreads crawl requests across multiple IP addresses to avoid rate limits, so your scraping is less likely to be blocked.
REST API: This web scraping tool’s API is designed with REST principles, utilizing HTTP verbs and predictable URLs whenever possible. It allows you to control and execute your scraping projects with ease.
Image Scraping: Image scraping is a method that involves extracting image data from online sources in formats like JPEG, PNG, and GIF. ParseHub can assist you in scraping images from social media platforms and e-commerce websites by extracting the URL for each image on a webpage.

Pricing

‍ParseHub has a free plan which you can download easily. There are two monthly paid plans: the Standard at $189 and the Professional at $599. You can also choose a customized ParseHub Plus plan to deploy it for your entire enterprise.

Pros

IP Rotation: In order to avoid IP blocking and guarantee continuous scraping sessions, IP rotation is utilized.
REST API: Users can effectively manage and carry out scraping tasks with ParseHub's RESTful API.
Image Scraping: By enabling the extraction of image data from numerous internet sites, the application allows image scraping.

Cons

Expensive Plans: Although ParseHub has a free plan, its commercial plans—especially for enterprise—can be somewhat pricey.

4. ScrapingBee

ScrapingBee is one of the well-known APIs for web scraping. This tool runs JavaScript on web pages and seamlessly changes proxies with each request, ensuring your access to HTML pages without encountering any blocks. ScrapingBee offers different APIs for managing a wide range of tasks, such as extracting customer reviews or comparing prices of different products. It also provides you with a specialized API for scraping Google search results.

‍Key Features

SERP Scraping: Scraping a Search Engine Results Page (SERP) can be challenging due to the presence of rate limits. ScrapingBee simplifies this cumbersome process by offering you a Google search API.
Result Export Options: This web scraping tool supports export results in JSON, CSV, and XML formats. It is also compatible with other web scraping platforms such as ParseHub, Octoparse, and more. These integrations help you to scrape more data from other sources. You can export your data into the format you wish on ScrapingBee and use the file to conduct data operations.
Capturing Screenshots: ScrapingBee has a unique Screenshots API that assists you in capturing full-page and partial screenshots of a website. You can simply screenshot a portion of the website instead of scraping its HTML.

Pricing

‍ScrapingBee offers four monthly pricing plans that have varying API credits and concurrent requests. The Freelance and Startup plans commence at $49 and $99, respectively. The Business plan charges you $249, while the Business + plan starts at $599.

Pros

Options for Exporting Results: It facilitates exporting results in CSV, XML, and JSON formats, increasing data management versatility
Screenshots API: For taking full-page and partial screenshots of websites, ScrapingBee offers a special Screenshots API
Seamless Proxy Management: To provide dependable access to HTML pages, the program automatically rotates proxies with each request.

Cons

Price Variability: It can be difficult to select the best plan for a given set of requirements because different pricing plans may have differing API credits and concurrent requests.

5. Screaming Frog

Screaming Frog is an SEO crawler for auditing and analysing websites rather than one of the general-purpose data scraping tools, but its custom extraction feature can pull specific elements from every page it crawls.

Pros

Beginners may easily use it thanks to its user-friendly UI.
Gives thorough information about the links, structure, and SEO components of websites.
Supports several operating systems, including Linux, macOS, and Windows.

Cons

The free version's limited capabilities.
Technical know-how could be needed for advanced functionalities.

6. Scrapy

Scrapy is an open-source Python framework for web crawling and scraping, and one of the most capable data scraping tools for large-scale jobs where you want full control. For other code-first options, see our guide to Python ETL tools.

Pros

Effective and scalable for managing large-scale scraping jobs.
Provides a wealth of documentation along with robust community assistance.
Provides support for asynchronous requests to improve speed.

Cons

Initial setting and setup might be difficult.

7. Apify

Apify is a cloud platform for running scrapers it calls Actors. You can pick from thousands of ready-made Actors in the Apify Store for sites such as Google Maps, Amazon or social networks, or build your own with Crawlee, Apify's open-source crawling library, and deploy it to Apify's runtime with proxies and scheduling handled for you.

Key Features

Apify Store: thousands of prebuilt scrapers for common sites and data types.
Crawlee: open-source library for building reliable crawlers in JavaScript or Python.
Managed Infrastructure: managed proxies, scheduling, storage and an API for every run.

Pricing

Apify has a free plan with a $5 monthly usage credit, and paid plans add more credit. Since 1 October 2026, rental Actors have moved to pay-per-usage pricing, so costs depend on the Actors and compute you use.

Pros

Ready-made scrapers save building common extractions from scratch.
Crawlee gives developers an open-source path with no lock-in for the code.

Cons

Usage-based costs are harder to predict for continuous scraping.
Community Actors vary in quality and maintenance.

8. BeautifulSoup

A popular Python web scraping Library called BeautifulSoup is well-known for being user-friendly and having a wide range of capabilities for extracting data from HTML and XML files.

Pros

Offers strong capabilities for exploring and parsing HTML content.
Compatible with many different Python libraries, which expands its capabilities.

Cons

In comparison to other scraping frameworks, it lacks sophisticated functionality.
Limited support for websites with a lot of JavaScript.

9. Firecrawl

Firecrawl is an open-source scraping API built for AI applications. It crawls websites, renders JavaScript and returns clean Markdown or structured JSON that large language models and retrieval pipelines can use directly, so you skip most HTML clean-up. The core is licensed under AGPL-3.0 and can be self-hosted. For other open-source options, see our guide to open-source ETL tools.

Key Features

LLM-Ready Output: pages returned as Markdown or structured JSON, ready for LLMs and RAG.
Crawl and Map: crawl a whole site or map its URLs, including JavaScript-heavy pages.
Self-Hosting: run the open-source engine yourself, or use the hosted API.

Pricing

Firecrawl's hosted API uses credits, typically one per page. The free plan includes 1,000 credits, and paid plans start with the Hobby tier at around $16 a month billed annually.

Pros

Clean Markdown output removes most post-processing for AI use cases.
Open-source core with a self-hosting option.

Cons

AGPL licence has obligations if you modify and offer it as a service.
Credit-based pricing adds up for very large crawls.

10. Playwright

Playwright is an open-source browser automation framework from Microsoft, and the usual answer when a site renders its content with JavaScript. It drives Chromium, Firefox and WebKit through a single API, waits for elements automatically rather than needing sleep statements, and can intercept network requests to grab the underlying JSON a page fetches, which is often cleaner than parsing the rendered HTML.

Pros

Free and open source under Apache 2.0, with no per-request pricing.
Handles JavaScript-heavy sites that simple HTTP scrapers cannot reach, including content rendered after page load.
Available in Python, JavaScript, Java and .NET, so it fits whatever your team already writes.

Cons

Running real browsers is far heavier on CPU and memory than making HTTP requests, so it costs more at scale.
You handle proxies, rate limiting and retries yourself; it does not ship with an anti-bot layer.

11. Common Crawl

Common Crawl is a nonprofit that publishes free datasets of web crawl data, petabytes in total, so anyone can analyse large parts of the public web without crawling it themselves. Working with data at that scale needs suitable storage; see our guide to big data storage solutions.

Pros

Provides free access to petabytes of web crawl data for analysis and study.
Supports several application cases, such as machine learning, data analysis, and academic research.

Cons

To use the dataset and APIs efficiently, technical competence is required.
Restricted control over the crawl data's freshness and substance.

What should you consider before scraping?

1. Legality

Make sure you confirm whether web scraping is allowed in your jurisdiction; it may be prohibited by terms of service of websites or data protection laws. Some places forbid scraping without permission because of copyright violations or privacy issues. To prevent legal repercussions, always abide by the terms of use and any applicable laws.

2. Rate Limiting

Rate restrictions must be put into place to avoid sending the target website's server an excessive number of requests. By taking this step, you lessen the chance that your IP address will be blacklisted for questionable activity and help to ensure a seamless scraping process.

3. Website Structure

Before scraping a website, analyse its structure so your script stays reliable. Layout or code changes silently break extraction, so validate scraped fields on every run; see our guide to data quality tools.

4. Data Privacy

Be mindful of data privacy and avoid uninvited data scraping of sensitive information, such as proprietary or personal data. Respecting privacy laws guarantees moral scraping methods and lessens the possibility of legal repercussions or reputational harm.

5. Ethical Considerations

Respect the website's terms of use and consider the ethical implications of scraping, ensuring that your actions align with principles of integrity and respect for others' intellectual property.

How do you get scraped data into a warehouse?

Web scraping tools gather large volumes of data in varying formats, but its value comes from combining it with the rest of your data. The usual pattern is to land scraped output in a cloud data warehouse and model it there. For the ingestion layer, see our guide to data ingestion tools.

Airbyte, the open-source data connectivity platform for AI and analytics, moves scraped datasets into the warehouse or lake you choose alongside 700+ other sources. Its Apify Dataset connector loads Apify results directly, and files from other scrapers can be loaded from cloud storage. If a site offers an API, building a connector with Airbyte's Connector Builder is often more reliable than scraping. For more options, see our guides to ELT tools and data integration tools.

Once output from your data scraping tools is loaded into the warehouse of your choice, you can analyse it alongside sales, product and marketing data, which is where scraped data delivers most of its value.

Which web scraping tool should you choose?

The right data scraping tools depend on who is doing the work and how often. For one-off extractions, start with a no-code builder such as Octoparse or ParseHub. For production scraping where blocks are the problem, use a scraping API such as ScraperAPI or ScrapingBee, or Apify's ready-made Actors. For full control, Scrapy and Playwright are the developer standards, Firecrawl suits AI and LLM pipelines, and Common Crawl suits breadth over freshness. Whichever you pick, check terms of service and privacy rules first.

11 Best Web Scraping Tools for 2026

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