7 Most Popular Web Scraping Tools to Use in 2026

The web in 2026 is a wild place—overflowing with data, and businesses are racing to turn that chaos into clarity. I’ve seen firsthand how sales, ecommerce, and operations teams are hungry for structured web data to drive decisions, monitor competitors, and automate the boring stuff. But with the web scraping software market now topping and nearly half of all internet traffic coming from bots, picking the right tool can feel like searching for a needle in a digital haystack.

So, which web scraping tools are actually worth your time in 2026? I’ve dug deep, tested, and compared the most popular options—ranging from AI-powered Chrome extensions to open-source frameworks and no-code platforms. Whether you’re a non-technical business user or a developer who dreams in Python, this guide will help you find the right fit for your next data project (and maybe save you from a few copy-paste-induced headaches along the way).

How We Chose the Most Popular Web Scraping Tools in 2026

With so many tools out there, I focused on what actually matters for business users today: ease of use, automation power, compatibility, real-world user feedback, and business fit. I wanted a mix—AI-driven simplicity, no-code flexibility, open-source power, and browser-based convenience. I scoured user reviews, recent usage stats, and hands-on feedback from teams in sales, ecommerce, research, and operations. The result? A lineup of seven tools that cover the full spectrum, from “I just want a spreadsheet” to “I need to crawl a million pages by tomorrow.”

Let’s dive in.

1. Thunderbit

is my go-to for business users who want web data fast, without wrestling with code or complex templates. As an , Thunderbit is all about making web scraping as easy as ordering takeout: just click “AI Suggest Fields,” then “Scrape,” and you’re done. The AI reads the page, figures out what data you want, and builds a structured table—no technical setup required.

Thunderbit is a lifesaver for sales, ecommerce, and operations teams who need to grab leads, product info, or competitor data in minutes. I’ve seen users describe it as “like having an intern do the copy-pasting for you,” and honestly, that’s not far off.

Thunderbit Key Features

• AI Suggest Fields: The AI scans any website and suggests the best columns to extract (names, prices, emails, etc.), so you don’t have to fiddle with selectors or guess what’s possible.
• Subpage & Pagination Scraping: Need to go deeper? Thunderbit can click through paginated lists or visit each subpage (like product details or LinkedIn profiles) and enrich your table automatically.
• Instant Templates: For popular sites like Amazon, Zillow, or Instagram, Thunderbit offers one-click templates—no AI step needed.
• Free Data Export: Export your data directly to Excel, Google Sheets, Airtable, or Notion—no extra fees or limits.
• AI Autofill: Automate online form filling and repetitive workflows with a single click.

• Credit-Based Pricing: The free tier lets you scrape up to 6 pages (or 10 with a trial boost), and paid plans start at $15/month for 500 rows, scaling up for larger teams.

Thunderbit is perfect if you want to skip the learning curve and just get your data—now. It’s trusted by over and consistently praised for its simplicity and accuracy. For a deeper dive, check out .

2. Scrapy

is the heavyweight champion of open-source web scraping frameworks. Built in Python, Scrapy is beloved by developers for its speed, flexibility, and scalability. If you need to crawl thousands (or millions) of pages, handle custom login flows, or integrate with databases and analytics pipelines, Scrapy is your best friend—assuming you’re comfortable writing code.

Scrapy powers everything from price monitoring to machine learning data pipelines. It’s not for the faint of heart (or the non-coder), but in the right hands, it’s nearly limitless.

Scrapy in Business Context

• High Performance: Asynchronous architecture lets you scrape at scale, making it ideal for big data projects.
• Customizable: Write your own spiders to handle any logic—logins, forms, proxies, and more.
• Extensible: Rich plugin ecosystem for proxy rotation, duplicate filtering, and integrations.
• Free & Open Source: No license fees; just invest in developer time and infrastructure.
• Community Support: Massive developer community, extensive docs, and plenty of StackOverflow threads for troubleshooting.

Scrapy is best for teams with in-house technical talent or those who need maximum control over their scraping projects. For a full breakdown of Scrapy’s strengths and limitations, see .

3. Octoparse

is a no-code, visual web scraping tool that brings powerful data extraction to non-technical users. Its point-and-click interface lets you build workflows by simply selecting elements on a page, and its cloud service can run scrapes on a schedule—perfect for recurring tasks like daily price tracking or weekly lead updates.

Octoparse is especially popular with marketers, researchers, and small businesses who want to automate data collection without writing a single line of code.

Octoparse for Business Teams

• Visual Workflow Designer: Build scrapers by clicking on the data you want—no coding needed.
• Auto-Detection & Templates: Automatically finds data lists and offers pre-built templates for sites like Amazon, eBay, Twitter, and more.
• Cloud Extraction & Scheduling: Run scrapes on Octoparse’s servers and schedule them to run automatically.
• Handles Dynamic Content: Supports JavaScript-heavy sites, login flows, and even CAPTCHA solving on higher plans.
• Rich Export Options: Export to CSV, Excel, JSON, HTML, or directly to Google Sheets and databases.
• Pricing: Free tier allows 10 tasks and up to 10,000 records per export. Paid plans start around $75/month, with higher tiers for more volume and advanced features.

Octoparse is a solid choice if you want no-code power and are willing to spend a little time learning the ropes. For more on Octoparse’s features and user feedback, check out .

4. ParseHub

is another visual, no-code scraping tool, but with a twist: it’s cross-platform, running natively on Windows, Mac, and Linux. ParseHub’s project-based approach lets you map out complex scraping actions—clicks, loops, conditional logic—without writing code. It’s especially handy for teams working across different operating systems or for those who need to scrape dynamic, JavaScript-heavy sites.

ParseHub’s Unique Advantages

• Cross-Platform Support: Works on Windows, Mac, and Linux—no VM or workarounds needed.
• Visual Point-and-Click Interface: Select elements, define loops, and set up multi-step workflows visually.
• Handles Dynamic Content: Interact with forms, dropdowns, and infinite scroll.
• Scheduling & Cloud Runs: Paid plans let you schedule scrapes in the cloud and fetch data via API.
• Flexible Export: Output to CSV, Excel, JSON, or send results to Dropbox/Google Drive.
• Pricing: Free plan allows 5 public projects and 200 pages per run. Paid plans start at $189/month, with higher tiers for more volume and speed.

ParseHub is powerful, but it does have a learning curve—especially for more complex projects. If you’re willing to invest a bit of time, it can save you hours of manual work. For a full rundown, see .

5. Apify

is where web scraping meets automation and API integration. Think of Apify as a cloud platform that lets you run scraping scripts (called “actors”), schedule them, scale them, and turn your results into reusable APIs. It’s a favorite for businesses that need ongoing, large-scale data collection—like market monitoring, competitor analysis, or feeding real-time data into dashboards.

Apify for Long-Term Data Projects

• Scalable Cloud Infrastructure: Run small jobs or massive crawls (millions of pages) with robust anti-blocking and IP rotation.
• Marketplace of Actors: Choose from thousands of pre-built scrapers for popular sites, or code your own in JavaScript or Python.
• API Integration: Turn any scraper into a live API endpoint or webhook for real-time data delivery.
• Workflow Automation: Automate browser actions, fill forms, and even run headless browser bots.
• Flexible Pricing: Free tier includes $5 in monthly credits; paid plans start at $39/month and scale up for enterprise needs.

Apify is best for teams with technical know-how or those who want to automate data pipelines at scale. For a deep dive into Apify’s capabilities, check out .

6. WebHarvy

is a Windows-based visual scraper that stands out for its simplicity and its focus on image extraction. If you need to grab product images, download files, or scrape visual content alongside text, WebHarvy makes it easy with true point-and-click selection and automatic pattern detection.

It’s a favorite for small businesses, ecommerce shops, and researchers who want a one-time purchase (no subscriptions) and a gentle learning curve.

WebHarvy for Small Businesses

• Windows Desktop App: Fast, stable, and easy to use on Windows PCs.
• Point-and-Click Selection: Click on any element (text, image, price) to extract it—no coding or selectors.
• Image & File Scraping: Download images and files as part of your data run.
• Pagination & Multi-Level Scraping: Handle next-page buttons, subpage navigation, and even form submissions.
• One-Time Pricing: $129 per user (includes one year of updates/support), with tiered licenses for teams. No monthly fees.
• Export Options: CSV, Excel, JSON, XML, and direct SQL database export.

WebHarvy is ideal for periodic scraping jobs, especially when images are a priority. For more details, see .

7. Data Miner

is a Chrome extension built for instant, on-demand web data extraction. It’s incredibly popular among salespeople, marketers, and researchers who need to grab tables or lists from web pages and drop them straight into Excel or Google Sheets—no setup, no coding, just click and go.

With over 60,000 public “recipes” for common sites, Data Miner is plug-and-play for most basic scraping tasks.

Data Miner for Real-Time Needs

• Browser-Based Simplicity: Scrape tables and lists with a single click, right from your browser.
• Pre-Built Recipes: Huge library of extraction rules for popular sites (LinkedIn, Yelp, Amazon, etc.).
• Pagination Handling: Crawl through multiple pages or lists with supported recipes.
• Custom Recipes & JavaScript: Advanced users can create custom scrapers or run JS for dynamic content.
• Free & Paid Plans: Free plan allows up to 500 pages/month. Paid plans start at $19.99/month for more features and higher limits.
• Export Options: Download to CSV, Excel, or export directly to Google Sheets.

Data Miner is perfect for quick, ad hoc data grabs—especially for individuals or small teams who don’t want to mess with heavy software. For a full review, see .

Quick Comparison Table: Most Popular Web Scraping Tools in 2026

How to Choose the Right Web Scraping Tool for Your Business

Picking the right tool comes down to a few key questions:

• What’s your technical comfort level? If you don’t code, stick to Thunderbit, Octoparse, ParseHub, WebHarvy, or Data Miner. If you have developers, Scrapy or Apify unlock more power.
• How complex is your project? For simple lists or tables, browser extensions like Thunderbit or Data Miner are perfect. For dynamic sites, multi-step flows, or scheduled jobs, look at Octoparse, ParseHub, or Apify.
• How much data do you need, and how often? For one-off or small jobs, free plans or one-time licenses might be enough. For ongoing, large-scale scraping, invest in a scalable cloud tool.
• Where do you want your data? If you live in Excel or Google Sheets, pick tools with direct export. For API integrations or databases, Apify and Scrapy are best.
• What’s your budget? Free and low-cost tools are great for small projects; for enterprise needs, expect to pay for scale, support, and automation.

My advice? Start with a free trial or plan, test your use case, and see how the tool fits your workflow. The best tool is the one you (and your team) will actually use.

Conclusion: Unlocking Business Value with the Right Web Scraping Tool

Web scraping has gone from a developer’s side project to a business essential. The tools are more powerful, user-friendly, and automated than ever—thanks to AI, cloud, and a growing ecosystem of no-code solutions. Whether you’re building a lead list, monitoring prices, or fueling your analytics with fresh data, there’s a tool here that fits your needs and your skillset.

If you’re ready to turn web data into business gold, give one (or more) of these tools a spin. And if you want to see how AI can make scraping truly simple, and see what you can build in just a few clicks.

For more web scraping tips, guides, and deep dives, check out the .

FAQs

1. What is the easiest web scraping tool for non-technical users in 2025?
and are both excellent for non-coders. Thunderbit uses AI to suggest fields and requires just two clicks, while Data Miner offers instant, recipe-based scraping from your browser.

2. Which tool is best for large-scale or complex web scraping projects?
is ideal for developers who need to build custom, scalable scrapers. is great for cloud-based, API-driven automation at scale.

3. Can I schedule recurring web scraping jobs with these tools?
Yes. , , , and all offer scheduling features for automated, recurring scrapes.

4. Which web scraping tool is best for extracting images or files?
is designed for easy image and file extraction, making it a top pick for ecommerce and research projects where visuals matter.

5. How do I choose the right web scraping tool for my business?
Consider your technical skills, project complexity, data volume, export needs, and budget. Start with a free plan or trial, test your workflow, and upgrade as your needs grow. For more guidance, see our .

Happy scraping—and may your data always be clean, structured, and ready for action.