Free web scraping tools have become increasingly sophisticated and accessible, and with their help, users can extract relevant data from different websites. These tools may differ in many ways; for example, some may have user-friendly interfaces that don’t require coding, while others are more complex to set up.
In this article, I’ll introduce you to 11 of the best free, AI-powered web scraping tools available in 2025. I picked these 11 tools based on:
- Bot-blocker bypassing capabilities
- Scalability
- Additional tools they offer
- Ease of use
- Pros and cons
- Pricing structure
Let’s get started.
ScraperAPI – Best Free Web Scraping Tool
ScraperAPI may be considered the best web scraping tool on the market. It’s designed to collect real-time data from websites at a large scale and is an excellent fit for diverse use cases. It handles proxies, browsers, and CAPTCHAs, allowing you to extract clean, structured data from any website without getting blocked.
With ScraperAPI, you can bypass geographical restrictions, render JavaScript-heavy websites, and retrieve data at an enterprise-level scale without paying “the brand tax.” With this tool, you’ll access a pool of over 150M premium proxies (from datacenter to residential and mobile) from 150 countries with ML-driven proxy selection and rotation. No management is needed from the client’s side.
ScraperAPI’s advanced anti-bot detection handles advanced bot blockers like DataDome, PerimeterX, and more to ensure near 100% success rates. Getting started with ScraperAPI is also very easy. All users need is an API key and URL to start scraping.
Let’s take a closer look at some of ScraperAPI’s best automation features:
DataPipelines [Cloud-Hosted Scraping Scheduler]
ScraperAPI’s DataPipeline is a user-friendly web scraping scheduler that simplifies and automates your web scraping tasks using its visual interface or dedicated endpoints for precise scheduling. With DataPipeline, you can simultaneously run up to 10,000 URLs (per project), keywords, Amazon ASINs, or Walmart IDs (to name a few domains) and build complex, recurrent scraping jobs.
Users can schedule pre-configured jobs for custom URLs and structured data endpoints, get their results in JSON or CSV, or have them delivered to a webhook. This makes it easier to integrate with your existing architecture.
Datapipeline also has an intuitive dashboard integrated into the feature. You can monitor the progress of your scraper, cancel running jobs if needed, review your configurations, and download the scraped data once the jobs are complete. You can also monitor all of this information using the corresponding endpoints—no need for 3rd-party tools or to get out of your development environment.
Render Instruction Sets
ScraperAPI’s Render Instruction Set allows you to send instructions to a headless browser via an API call, guiding it on what actions to perform during page rendering. These instructions are sent as a JSON object in the API request’s header.
Note: Refer to the Render instruction set documentation to see a complete list of supported instructions and learn how to customize your scraping tasks further.
These instructions give you the same control over the page rendering as any headless browser (letting you deal with challenges like infinite scroll paginations) but without the tedious setup and heavy resources typically required.
Structured Data Endpoints (SDEs)
ScraperAPI also offers pre-configured endpoints designed for specific popular websites such as Amazon, Walmart, eBay, and Google. The Structured Data Endpoints feature allows you to scrape any ecommerce product page without writing complex parsing logic or constantly adapting to website updates, regardless of the scale of your project.
ScraperAPI’s SDEs can be used with both the standard API and the Async API. Hence, with a simple post() request, you can manage millions of requests asynchronously without hurting success rates and speeding up large-scale projects.
Pros and Cons
Pros
- Pool of over 150M IPs
- Easy to use and integrate
- Smart proxy rotation
- Handles proxies, browsers, and CAPTCHAs
- Scalable and reliable
- Excellent documentation and support
- High uptime
- Unlimited bandwidth
- Geotargeting to over 150 countries
Cons
- No PAYG pricing
- Limited geotargeting in lower tiers
Pricing
Scraper API offers a generous free tier, allowing you to test the service before committing to a paid plan. Paid plans start at a competitive price, and offer increased request limits, faster speeds, and dedicated support. Here’s a more comprehensive breakdown:
- Free Plan: 5,000 API credits available upon signup, followed by 1,000 free credits each month, supporting up to 5 concurrent connections.
- Hobby Plan: Priced at $49/month, offering 100,000 API credits.
- Startup Plan: Available for $149/month, providing 1,000,000 API credits.
- Business Plan: At $299/month, you receive 3,000,000 API credits.
- Enterprise Plan: Custom pricing applies for access to over 3,000,000 API credits.
Aggregator Ratings
- Trustpilot rating — 4.7
Best Cloud based scraping API
“As a developer I always wanted to have a cloud based solution that doesn’t need me to install headless browsers or dealing with costly proxies. Thanks to ScraperAPI that made things easier. All is required to hit a certain URI to scrape data and get desired results. Highly recommended”
5 Other Free Web Scraping Tools
2. Octoparse
Another popular free option suitable for non-developers is Octoparse. Octoparse is a no-code AI web scraping tool with over 469 free built-in template scrapers, primarily used by researchers and data analysts. Octoparse offers a cloud-based, drag-and-drop interface for web scraping and a built-in browser view that effectively mimics human behavior.
Octoparse provides a free plan, yet this version has notable restrictions. For example, the free plan for small and straightforward projects comes with 10 scraping tasks; in contrast, a paid plan allows for 750 or more.
Pros and Cons
| Pros | Cons |
| Online data scraping templates | Processing large data sets can be slow |
| Hybrid model (cloud or local storage) | Not cost-effective |
| Easy-to-use point-and-click interface | Limited customer support for the free tier |
| Supports cloud-based data collection |
Pricing
Octoparse offers a five-day money-back guarantee for users who wish to try its premium services. However, paid plans start at £119 per month:
- Free Plan (10 tasks).
- Standard Plan: $119 per month (100 tasks).
- Professional Plan: $299 per month (250 tasks)
- Enterprise plan: Custom
3. ParseHub
ParseHub is an intuitive, no-code tool that easily enables users to extract data from websites. Leveraging machine learning, it can navigate complex sites, including those with JavaScript, AJAX, and dynamic content. Users can directly choose data elements on a webpage, and ParseHub will generate the corresponding data extraction commands.
The tool offers both a desktop application and cloud-based services, allowing for flexible data collection and integration into various workflows. To use ParseHub, open a website of your choice and click on the data you want to extract. There’s no coding required, making this tool super easy to use.
Pros and Cons
| Pros | Cons |
| Simple interface that’s easy to use | The free version comes with limited features |
| Rotating proxy support | Higher-tier plans can be expensive for small businesses or individual users |
| Scheduled runs | High learning curve for advanced features |
| Cloud-based support (on paid plans) | Limited customization (compared to code-based web scraping tools) |
| Multiple data export formats |
Pricing
- Free Plan: Allows up to 5 public projects, 200 pages per run.
- Standard Plan: Priced at $189 monthly, includes 20 private projects, 10,000 pages per run.
- Professional Plan: Priced at $599 monthly, offers 120 private projects and unlimited pages per run.
- Enterprise Plan: Custom pricing.
ParseHub’s pricing is based on its scraping speed and efficiency. This structure enables businesses to use the tool for free indefinitely. The free plan allows users to retain data from five public projects for up to 14 days. Premium subscription packages also have a dedicated account manager and specialized experts to monitor the data scraping for you.
4. Scrapy
Scrapy is a robust, open-source framework built for web scraping using Python. While highly flexible and ideal for large-scale projects, it requires coding knowledge and may not be suitable for beginners. With Scrapy, you write Spiders to retrieve HTML pages from websites, scrape the data you want, clean and validate it, and store it in the data format you want.
Unlike most other tools on our list, Scrappy is an open-source and collaborative framework for Python developers who want to build their own scalable web crawlers. Scrappy’s biggest advantage is that it’s free to use. The only drawback is that you must manually code advanced features like rotating proxies into the web scraper using middleware and other library imports.
Note: you can integrate ScraperAPI with your Scrapy spiders, automating all the necessary processes to bypass advanced bot blockers.
Pros and Cons
| Pros | Cons |
| Highly flexible | Not beginner-friendly |
| Suitable for large-scale projects | Requires coding knowledge |
| Active community support | Only compatible with Python |
| Scrapy requests are scheduled and processed asynchronously |
Pricing
Scrapy is free and open-source!
5. Webscraper.io
Webscraper.io is a user-friendly web scraping tool that requires no coding skills. It offers a dedicated cloud scraper and is available as a browser extension for Chrome and Firefox. It allows users to create sitemaps using a simple point-and-click method.
For users with more complex needs, WebScraper provides a Cloud Scraper service that automates data collection, supports scheduling, and offers integration with various platforms.
The cloud scraper functions as a powerful business analytics resource, dynamically extracting data from websites, analyzing it in real-time, and generating detailed reports that can be sent to your preferred cloud platforms, such as Amazon S3, Google Sheets, and DropBox.
Pros and cons
| Pros | Cons |
| Point-and-click interface integrated with browser developer tools | The free browser extension is limited to local use and may not be suitable for large-scale projects |
| Community sitemaps for popular websites | Advanced features, such as proxy support and API access, require a paid subscription |
| Cloud-based execution (paid plans only) | Handling complex websites may necessitate a learning curve for new users |
Pricing
- Browser Extension: Available at no cost for local use, ideal for users who want to run scrapers on their own machines.
- Project Plan: Priced at $50 per month, includes 5,000 cloud credits and allows for 2 simultaneous tasks.
- Professional Plan: Costing $100 monthly, provides 20,000 cloud credits, and supports 3 simultaneous tasks.
- Business Plan: At $200 per month, offers 50,000 cloud credits and supports 5 simultaneous tasks.
- Scale Plan: Starting at $200 monthly, features unlimited cloud credits.
6. ScrapingBee
Our final scraping tool on the list is ScrapingBee. ScrapingBee offers an API for web scraping that handles complex JavaScript pages and converts them into raw HTML for you to use. Moreover, it has a dedicated API for web scraping using Google search. With built-in proxy management and headless browser support, ScrapingBee is particularly beneficial for tasks like price monitoring, SEO analysis, and data extraction.
ScrapingBee offers a free tier of 1,000 credits per month. However, this is impractical due to the platform’s relatively high credit consumption. It’s also worth noting that they have introduced a new AI extraction feature (currently in beta), which carries an additional cost of 5 credits per use on top of the regular API cost.
Pros and Cons
| Pros | Cons |
| Easy Integration | Higher-tier plans can be costly for small-scale projects |
| Includes additional features like screenshot capture | Steeper learning curve for custom JavaScript execution |
| Good Documentation | Limited free trial for extensive testing |
Pricing
- Free: 1000 free API calls.
- Freelance: $49 per month (150,000 API credits).
- Startup: $99 per month (1,000,000 API credits).
- Business: $249 per month (3,000,000 API credits).
- Business +: $599+ per month (8,000,000+ API credits).
5 Free AI Web Scraping Tools
AI web scraping tools automatically extract data from websites without manual intervention. Many popular web scraping platforms now include built-in AI parsers that identify and gather the precise information you need, making data collection faster and more efficient.
Let’s look at some of the top free AI scraping alternatives available in 2025:
7. Bardeen.AI
Bardeen is an AI agent that effortlessly performs scraping tasks with a simple prompt. It automates manual workflows and saves you time. Bardeen AI is currently available as a Chrome browser extension and has hundreds of pre-built playbooks to handle most automation tasks.
Bardeen.AI caters to multiple other tasks, such as creating other scraper templates and sending data to other apps. It offers deep scraping, pagination, and automated click actions. It can also integrate directly with your spreadsheets and other apps to enhance data analysis, and it is free on Chrome, which is another plus point.
Pros and Cons
| Pros | Cons |
| Automates data extraction with simple AI prompts | Free plan is very limited (100 credits) |
| Integrates easily with spreadsheets and other apps | Only available as a Chrome extension |
| Cloud automation workflows | |
| Free plan available |
Pricing
While Bardeen.AI includes a free plan that allows users to get started at no cost, it comes with notable limitations. You receive 100 credits, which equates to roughly 100 scraped rows. This significantly caps the scale of your operations.
For more capacity, the paid plans start at around $30/month (billed annually) for up to 18,000 credits; higher-tier custom plans offer up to 120,000 credits.
8. Browse AI
Browse AI is a no-code web automation platform that enables users to extract and monitor data from websites efficiently. The platform does not require sophisticated learning, as most users can gain proficiency within 5 minutes.
Browse.AI supports scheduling and data integration with tools like Google Sheets and Airtable. It adapts to website layout changes, and its bulk run feature allows you to extract data across multiple URLs. You can start by using the tool from your browser. No downloads are necessary.
Pros and Cons
| Pros | Cons |
| Easy-to-use | Higher-tier plans may be costly for small businesses |
| Integration with 5000+ apps | The learning curve for advanced features and workflows may be steep |
| Scheduling and change monitoring features | It might require periodic retraining for very dynamic sites |
| Prebuilt robots |
Pricing
- Free Plan: Limited features for basic usage (50 credits per month).
- Starter Plan: $48.75 per month (2,000 credits per month).
- Professional Plan: $123.75 per month (5,000 credits per month)
- Team Plan: $311.25 per month (10,000)
- Company plan: Custom
9. Diffbot
Diffbot is an AI-powered web data extraction tool that offers algorithms that can crawl the web and extract valuable data from web sources such as articles, discussions, and other types of pages. These algorithms can then organize and convert this data into structured formats.
Pros and Cons
| Pros | Cons |
| High-quality structured data outputs | More technical users may prefer explicit selector control |
| Works well for news, ecommerce, and product data | Higher-tier plans are expensive for small businesses |
| Knowledge graphs | A credit-based system may require careful monitoring to avoid overages |
| There is a potentially difficult learning curve |
Pricing
- Free Plan: $0/month, provides 10,000 credits, five calls per minute, and dashboard access.
- Startup Plan: $299/month, provides 250,000 credits, five calls per second, and API access.
- The Plus Plan: Costs $899/month and includes 1,000,000 credits, 25 calls per second, and additional features such as Crawl and bulk scraping.
- Enterprise Plan: Custom pricing.
10. ScrapeStorm
ScrapeStorm is an AI-powered web scraping tool designed to extract data from various websites without requiring coding skills, making it suitable for both beginners and seasoned professionals.
ScrapeStorm also utilizes rotating IPs to prevent blocking during data extraction, and it’s compatible with Windows, Mac, and Linux. It offers two modes: Smart Mode, which utilizes artificial intelligence to automatically identify data patterns, and Flowchart Mode, allowing users to define scraping rules through a desktop visual interface.
Pros and Cons
| Pros | Cons |
| Fast and supportive customer service responses | Free tier constraints on data volume |
| Generous trial packages with excellent student discount offers | Advanced customization requires paid plans |
| Intuitive user interface | Inconsistent performance |
| AI-Powered Data Recognition |
Pricing
Regarding pricing, ScrapeStorm offers a free trial during which you can scrape up to 10 tasks. However, only one task can run concurrently. Other plans include:
- Professional – $49.99 pm
- Premium – $ 99.99 pm
- Business – $ 199.99 pm
11. Databar.ai
Databar.ai is a no-code platform for automating data collection, enrichment, and visualization. It enables users to scrape data from websites easily and use this data to create dynamic reports and visualizations.
One of Databar’s standout features is its ability to generate leads from Google Maps. After inputting your target location and business category, the platform scrapes relevant business data, including names, addresses, phone numbers, and websites.
Pros and Cons
| Pros | Cons |
| Data visualization with Live Charts | Steeper learning curve for new users |
| Access to over 120 data sources | Limited features on lower-tier plans |
| AI-powered lead qualification | Can become expensive for high-volume users |
Pricing
- Lite Plan: $36/month with 2,000 credits.
- Pro Plan: $99/month with 7,500 credits.
- Team Plan: $250/month for 20,000 credits.
- Custom Enterprise Plans: Available for larger teams.
Best Web Free & AI Web Scrapers Compared [Overview]
| Tool | Type/Approach | Free Tier | AI Features? | Starting Paid Price | Best For |
| ScraperAPI | API-based scraping service | Yes (5,000 credits then 1000 p/m) | ML-based proxy rotation, ML for complex sites | $49/month (100k requests) | Developers needing an easy-to-use, scalable, automated scraping platform |
| Octoparse | No-code, cloud or desktop | Yes (10 tasks) | AI-based templates | £119/month | Non-technical users; diverse data extraction |
| ParseHub | No-code, desktop/cloud | Yes (5 projects) | ML for complex sites | $189/month (Standard) | Non-coders handling dynamic or AJAX pages |
| Scrapy | Open-source Python framework | Yes (unlimited) | No (manual coding) | Free | Experienced developers building custom scrapers |
| Webscraper.io | Browser extension & cloud | Yes (extension) | No (primarily manual setup) | $50/month (Project Plan) | Beginners needing simple point-and-click setups |
| ScrapingBee | API-based service | Yes (1,000 credits) | Beta AI extraction (5 extra credits/use) | $49/month (150k credits) | Price monitoring, SEO analysis, JS-heavy sites |
| Bardeen.AI | Chrome extension, no-code | Yes (100 credits) | AI prompts & playbooks | $30/month (18k credits/year) | Automated workflows, integrating with spreadsheets/excel files |
| Browse AI | No-code, cloud-based | Yes (50 credits) | Some adaptation to changes | $48.75/month (2,000 credits) | Quickly extracting & monitoring website data |
| Diffbot | AI-powered data extraction | Yes (10,000 credits trial) | Yes (NLP/Computer Vision) | $299/month (Startup) | Structured data from news, e-commerce, & more |
| ScrapeStorm | No-code, AI-assisted | Trial (10 tasks) | AI-powered data recognition | $49.99/month (Professional) | Beginners & pros needing visual + AI scraping |
| Databar.ai | No-code, data enrichment | No free credits are listed, but offers low-tier paid | AI for lead qualification & data enrichment | $36/month (2,000 credits) | Integrating scraped data into dynamic reports & visualizations |
What is a Web Scraper?
Simply put, a web scraper is a software program that extracts data from a website. Web scraping is a technique used to extract large amounts of public data from websites. This information is collected and exported into a more user-friendly format, such as a spreadsheet or an API, where it is stored for further analysis or manipulation.
Common Web Scraper Use Cases
Web scraping tools are versatile and serve numerous purposes. Companies often gather data for tasks like market research, price monitoring, and competitive analysis. By understanding competitor pricing and product details, businesses can sharpen their strategies and gain an edge.
Explore our “5 Small Business Web Scraping Use Cases” guide for more hands-on examples and recommendations.
Things to Consider when Choosing a Free & AI Web Scraper
Choosing the right web scraping tool is very difficult but essential at the same time. As you can see from the article, every web scraper is different, so selecting the one that suits your needs best can be a challenging task.
Nevertheless, there are particular features and factors to consider when reaching your final decision. This can assist you in determining if this tool will help you or your business meet your goals. Here are several key features to focus on:
- Ease of use (especially if you’re new to scraping)
- Flexibility in handling different types of websites and data formats
- Adaptability and speed, especially when processing large data volumes
- Compatibility with website layout changes
- Intuitive interface and detailed documentation for an effortless process
If you’re trying to scrape websites where you need to get around CloudFlare, bypass captchas, or use rotating proxies, you may want to use a web scraping API. For this, I can’t recommend ScraperAPI enough. Create a free ScraperAPI account and start scraping in minutes!
FAQs about Free & AI Web Scraping Tools
Web scraping is a technique used to programmatically collect content and data from the internet – reducing the need for manual labor. This information is collected and exported into a more user-friendly format, such as a spreadsheet or an API, to be analyzed, fed to LLMs, etc.
Yes, you can use AI to scrape the web. AI-powered scrapers use machine learning and natural language processing to automatically identify data patterns and adjust to site changes. This reduces manual maintenance and speeds up the data collection process.
Out of the box, ChatGPT does not perform web scraping. It is a language model without direct access to the open internet. However, developers can integrate APIs or scraping tools with ChatGPT to summarise or analyze scraped data after collection.
There isn’t a single “best” AI model for web scraping. Different tools use various proprietary AI engines, each offering different strengths in handling complex website structures and adapting to dynamic content with AI-powered extraction capabilities. However, GPT-4 and other specialized AI extraction models like those from OpenAI and Google are leading the way in web scraping in 2025.
ParseHub offers a free plan, but it’s limited in terms of the number of pages per run and total projects you can manage. Upgrading to a paid plan unlocks more pages, faster processing, and additional support.
ScraperAPI is one of the best free, no-code web scraping solutions available. It handles all the complex parts of scraping—such as proxy rotation, CAPTCHA solving, and JavaScript rendering—so you don’t have to worry about technical details. Its generous free tier allows you to test it out at no cost, making it an excellent choice for beginners and experienced users looking to simplify their scraping workflows.
