The 8 Best Data Extraction Tools in 2025: A Complete Guide

Every thriving business must be able to leverage customer sentiments and market trends to its advantage. To this end, you need data to understand what customers would love to see from you and the current cycle of your industry. 

For product owners, GTM marketers, CTOs, and other business leaders, you need efficient data extraction tools.

In this short blog, we’ll discuss some carefully selected extraction tools. We’ll also take a look at their strengths, weaknesses, and ideal users.

TL;DR: Use an Enterprise Data Extraction Tool for Large-Scale Scraping

Websites employ various techniques to detect and block scrapers, and bypassing them is becoming increasingly more difficult and expensive. Bot-blockers, such as Akamai and Cloudflare, make the process even more complex, requiring specialized solutions and expertise to access the data.

To save time and money, it’s better to use a specialized tool like ScraperAPI to:

• Rotate your IP through a pool of over 150 million proxies
• Handle CAPTCHA and JavaScript challenges
• Bypass advanced bot-blockers, including Akamai and Cloudflare
• Get dedicated support with fast response times
• Speed up scraping using a custom concurrent threads limits

Want to give it a try?Create a free ScraperAPI account and test our service using the code below. Add your api_key and the url you’re trying to scrape, but it’s blocking you.

import requests

payload = {
   'api_key': 'YOUR_API_KEY',
   'url': 'YOUR_TARGET_URL',
   'country_code': 'us'
}

response = requests.get('https://api.scraperapi.com', params=payload)
print(response.status_code)

If you want to test ScraperAPI for your particular use case, contact sales to get a custom trial, including personalized onboarding, custom concurrency and scraping credits limit, and a dedicated account manager to ensure a success rates and speed.

The 8 Best Data Extraction Tools in 2025

#1. ScraperAPI [Best for enterprise companies and dev teams that need to scrape millions of pages without getting blocked]

ScraperAPI is the most suitable data extraction tool for both small teams and enterprises.

It offers many structured endpoints that allow users to easily spin up scraping jobs without reinventing the wheel. Current endpoints include Amazon, Google, Redfin, and Walmart.

The API is built to automatically bypass bot protection systems. This means you don’t need to worry about obstacles like Cloudflare—ScraperAPI can consistently access sites even when such blockers are in place.

Additionally, the feature DataPipelinen allows users to carry out large-scale scraping by automating the entire process. 

Best For

SaaS teams of all sizes that want to extract data easily and at scale. 

Key Features

• DataPipeline for scraping automation
• AsyncScraper for simultaneous scraping jobs
• Dedicated Data Endpoints for easier data extraction 
• API to access and extract data from any website

Pricing

• Hobby – $49
• Startup – $149
• Business – $299
• Scaling – $475

Customers who set up yearly billing can have 10% off.

BANNER

#2. Apify [Best suited for developers, AI engineers, or research engineers]

With over 4k global customers and 4 billion pages crawled monthly, Apify has carved a name for itself as one of the most efficient YC-backed data extraction tools in 2025.

Its primary product is the Apify proxy and scraper API, which has been proven to help developers bypass any blocked website and scrape data successfully. 

Over time, Apify has advanced from its anti-blocking product to building its full-fledged platform that consists of Apify Store and Apify Actors. 

At the moment, it has over 4,500 pre-built scrapers, including those for TikTok, Instagram, and Amazon. It also gives developers the capacity to build scrapers, list them on the platform, and earn from their usage. 

Best For

Apify is best suited for developers, AI engineers, or research engineers who are neck-deep into web data extraction. 

Key Features

• Special storage solution for enterprises
• The Crawlee Python library
• Integration with other applications
• It has Apify Actors, which are simply ready-made scrapers

Pricing

Here is a summary of the pricing plan:

• Starter Plan – $39
• Scale Plan – $199
• Business Plan – $999

It has a 10% discount for customers who would like to get billed annually. In addition, it offers a pay-as-you-go model. 

BANNER

#3. DocParser [Ideal for professionals in the corporate sector who might need to extract data from documents]

If you’ve been looking for the best data extraction tool for business documents, DocParser might be what you need. 

It’s one of the most popular tools for document parsing. All you have to do is upload your doc, provide instructions on the data you need, and download the output.

Yes, it’s that simple!

DocParser provides rule templates specifically designed for finance and accounting tasks, which you can use right out of the box. Alternatively, you can create your own custom rules. Its AI-powered features also allow for automated, customizable data extraction, so you can streamline your workflows with minimal manual input.

Best For

DocParser is ideal for professionals in the corporate sector who might need to extract data from documents.

Key Features

• Has an HTTP API
• Stores past document copies in case they are needed later
• Data can be downloaded in multiple file formats
• Parsing rules can be customized
• Pre-built rules for document parsing

Pricing

Here is the monthly pricing plan of DocParser:

• Starter Plan – $32
• Professional – $61
• Business – $133

Note that there is no free tier. 

#4. OctoParse [Suitable tool for non-technical professionals]

OctoParse has been in the data extraction industry since 2016 as one of the most prominent no-code tools. Primarily a no-code scraping tool, you can think of it as DocParser for websites. 

With native AI integration, it is easier to supercharge your scraping job. You can turn on auto-detect and receive real-time AI guidance at every step of the journey. 

Octoparse makes data scraping even faster with its library of pre-built templates, offering hundreds of ready-to-use setups for popular websites.

Best For 

Most suitable tool for non-technical professionals working in news curation, e-commerce, and lead generation. 

Key Features 

• AI assistant for web scraping
• Cloud-based scraping automation
• In-built captcha bypass
• Hundreds of preset templates

Pricing 

• Standard Plan – $99
• Professional Plan – $249

There’s a 16% discount for customers who choose yearly billing. 

#5. Airbyte [Great fit for enterprise teams that manage end-to-end data workflows]

In many cases, data needs to be passed from one application to another in order to extract its full value.

This is where Airbyte stands out—it’s a cloud-based infrastructure that can “Extract, Load, and Transform” your data across multiple platforms. 

Airbyte has over 600 connectors, which pull and push data from one application to another. This includes DuckDB, BigQuery, Brex, n8, and so on. You can also spin up your custom Connector with the CDK to tailor your data extraction to your taste. 

Best For

Airbyte is a great fit for enterprise teams that manage end-to-end data workflows, from extraction to loading into target systems.

Key Features

• Prebuilt connectors
• CDK SDK for custom collectors
• LLM integration & data insights
• Users can use any extraction method

Pricing

• Open Source 
• Cloud
• Team 
• Enterprise

There is no clear-cut amount of what each plan costs. 

#6. Fivetran [Suited for enterprise teams on a budget]

Fivetran differs from the previously mentioned tools by focusing primarily on data movement. Like Airbyte, it offers a wide range of connectors for data integration.

Users have access to over 700 connectors to move data across applications and automate workflows. They can also build custom connectors with support from the documentation.

Best For

Best suited for enterprise teams on a budget and placing more emphasis on operational quality.  

Key Features

• REST API 
• Database replication 
• Custom connectors
• Over 700 connectors
• File replication
• Data warehouse 

Pricing 

• Free 
• Standard
• Enterprise
• Business Critical

There are no fixed prices for each plan; customers are billed based on their usage.

#7. Zapier [Teams seeking to connect data across platforms]

Zapier Formatter is Zapier’s built-in tool for basic data extraction. Users can fetch simple information such as names, emails, and other straightforward details from various platforms.

However, it’s not designed for complex or website-level data extraction. Its real strength lies in enabling plug-and-play automation to move and transform data across different systems.

Best For

Enterprise teams seeking to connect data across platforms while leveraging AI-powered automation.

Key Features

• AI integration 
• Formatter for data extraction
• Zap for automation workflows 
• Page customization 

Pricing

• Free Plan – $0
• Pro Plan – $13
• Advanced Plan – $66

BANNER

#8. ParseHub [Ideal for non-technical teams that want to extract data quickly]

ParseHub is a cloud-based data extraction software known specifically for its ease of use. Not available on the browser, it is currently available on Windows, Mac, and Linux. 

ParseHub lets users simply open a website, select the data they want to scrape, and download the results directly to their machine. It’s a no-code tool, so no programming experience is required to use it.

Best For

Non-technical teams that want to extract data quickly and efficiently. It’s ideal for sales leads, growth marketers, and business developers. 

Key Features

• Automatically rotates IP
• DropBox integration
• Capable of fetching millions of data points within minutes
• Cloud-based
• All interactions are through the UI

Pricing

ParseHub has two main pricing plans: Standard and Professional. The latter is $189 per month, while the former is $599. It also offers free licenses for schools and a free tier worth about $99. 

BANNER

How to Choose the Best Data Extraction Tool for Your Needs

Choosing the data extraction tool you’ll use for your work is a crucial decision that can make or break your project.

Here is what to look out for when choosing your data extraction tool:

Easy Setup

Simplicity is important in maintaining an efficient workflow across your organization. When reviewing your options, ask yourself

• Can the most junior person on the team conveniently navigate this tool without extensive training?
• What knowledge gaps need to be addressed before they can effectively use it?

If setup proves complex, it’s probably not the best fit, especially if it requires extensive training for your team. Ideally, you want a data extraction tool with an intuitive interface and a gentle learning curve.

Stable and Efficient Performance

A data extraction tool that crashes frequently is not ideal for keeping things running smoothly. When making your choice, be sure to keep stability and efficiency in mind. 

Ask yourself: Can this tool concurrently scrape up to 100+ requests without running into errors or crashing? Most companies using data extraction tend to have large volume needs when it comes to scraping, so make sure the tool you pick can handle the heat.

Data Security 

In this world that revolves around data, information is gold, and implementing the right security measures to protect your users’ data is paramount. 

A good way to verify the security of your prospective tool is to check how many international data compliance certifications it holds. This helps you gauge the strength of their data protection measures.

Automation

Ideally, you want your prospective tool to automate repetitive tasks. This helps your team focus on what really matters. 

Make sure you choose a platform that makes using it a breeze and takes care of the bulk of manual work, such as data formatting, error handling, and report generation.

AI and Agentic Alignment

Agentic AI is the future of SaaS. Many teams now integrate AI-powered agents to handle cross-application workflows. Consider how well your prospective tool supports large language models (LLMs) and intelligent agents, which can be a key factor in selecting a leading solution. 

Clear Documentation and Video Guides

Tools are always different, and that is why documentation is important for quickly grasping how things work. 

An ideal data extraction tool should not leave you in the dark when something breaks or doesn’t work as intended. Instead, it should document and explain every segment of the workflow in extensive, well-structured documentation or guides. 

Scalability for Enterprises

Companies grow, project requirements change, and the right tool for the job needs to be able to seamlessly adapt. Make sure the tool you choose is designed to grow with you by offering scalable features, flexible integrations, and regular updates that keep pace. 

Conclusion

No matter how you use data within your organization or for your personal project, a great data extraction tool that suits your needs can support you throughout your journey.

In this short blog, we’ve gone over 8 data extraction tools you might want to consider in 2025 and also pointed out non-negotiable qualities you should look out for. 

In all of this, ScraperAPI stands as an ideal overall choice if you want to take your data extraction to the next level. You can check out the docs for yourself here!