16 Best Data Extraction Software
Are you looking for a Data Extraction Software for your business? You have come to the right page. This guide will help you discover the best Data Extraction Software and along with a deep dive into their features, pricing, rating, etc.
What is Data Extraction Software?
Data extraction software is a tool that helps automate the process of extracting structured data from unstructured or semi-structured sources. It enables users to transform large sets of data into valuable insights for several business use cases, including competitive intelligence, customer feedback analysis, and product pricing optimization. The software can extract data from various sources, including web pages, PDFs, text files, and databases, and present them in a structured manner for further analysis. It plays an essential role in today's data-driven world, where organizations rely on information to make informed decisions.
How Data Extraction Software work or function?
Data extraction software functions by automating the process of collecting and organizing data from various sources, such as websites and databases. By utilizing machine learning algorithms and natural language processing, the software can quickly and accurately extract the desired data and present it in a structured format. This can save businesses time and resources by eliminating the tedious task of manual data entry and allowing for more efficient decision-making based on the insights gained from the extracted data.
Benefits of Data Extraction Software?
Benefits of data extraction software:
- Saves time and effort by automating the data extraction process.
- Increases accuracy in collecting and analyzing data.
- Improves decision-making by providing actionable insights in real-time.
- Ensures compliance with regulations and reduces risk of errors.
- Enhances customer experience by personalizing communication based on extracted data.
How we curated this list
We conducted extensive research to identify a wide range of software options within each category. This involved exploring online resources, industry publications, software directories, and user reviews. Please note that the pricing and features mentioned here are subject to change. We recommend you to visit the product website for the latest information before making a decision.
#1
Fivetran
Product Description
Effortlessly centralize all the data you need so your team can deliver better insights, faster. Start for free.
Pros and Cons
- Fivetran has a comprehensive platform for data movement, transformations, security, governance, and extensibility of data sources and destinations.
- It offers over 300 pre-built, no-code source connectors, and automated schema drift handling to save time and improve reliability.
- Fivetran enables users to protect data in-flight from source to destination with automated governed data movement to support data democratization and self-service analytics.
- While Fivetran is quite extensive in its features, it may be overwhelming for users who only require basic data movement capabilities.
- Some users have reported difficulties with troubleshooting when faced with issues or errors in the platform.
- Fivetran's pricing models may not work for all businesses, particularly smaller ones with limited budgets.
#2
Bright Data
Product Description
Award winning proxy networks, powerful web scrapers, and ready-to-use datasets for download. Welcome to the world's #1 web data platform.
Pros and Cons
- Provides a variety of proxy services such as datacenter, mobile, residential and ISP proxies.
- Offers tools such as Proxy Manager and Proxy Browser Extension to manage and change proxy settings.
- Offers data scraping solutions such as Web Scraper IDE and SERP API to collect web data.
- No mention of pricing plans and they may be expensive for small businesses or personal use.
- Learning to use the various tools and services may take time and technical expertise.
- The company's website may appear cluttered and overwhelming for some users.
#3
Keboola
Product Description
A dataops platform built to set up data practitioners for success. Sign up today and create a free account!
Pros and Cons
- Easy setup - the product requires no data storage and can be set up quickly and easily.
- Free forever for core features - users can access the basic features of the product for free, which can be useful for small businesses or individuals.
- Multiple integrations - the product has over 200 connectors and can integrate with more than 1,400 apps and data warehouses, making it easier for users to connect to the data they need.
- Limited free features - while the basic features are free, users will need to pay to access additional features and credits.
- Steep learning curve - the product allows users to transform data in different ways, including using Python or SQL, which may require some technical knowledge.
- No mention of customer support - while the product provides a lot of resources for users, there is no mention of customer support, which may be a concern for those who need assistance with the product.
#4
Hevo Data
Product Description
Effortlessly load data from 150+ sources into your warehouse, transform it and deliver analytics-ready data to business tools using Hevo's fully automated data pipeline in minutes.
Pros and Cons
- Hevo allows users to integrate data from 150+ sources in near real-time using an intuitive no-code UI, making it easy and efficient to use.
- Hevo's fault-tolerant architecture scales with minimum latency, follows end-to-end encryption, and is compliant with every major certification under the sun, ensuring reliability and security.
- Hevo provides a wide range of integrations, a powerful transformation layer, and fantastic customer support, which makes it appealing to users looking for a full-service platform.
- Hevo requires users to sign up for a free trial before being able to use the platform fully, which may be an inconvenience for some.
- The pricing details of Hevo are not fully disclosed on the website, which can make it difficult for users to determine if it's within their budget.
- Hevo's Activate feature might be difficult for users who are not well-versed in operational analytics and process automations as it requires prior knowledge in this field.
#5
Altair Monarch
Product Description
Altair Monarch is a market leading desktop-based self-service data preparation solution. It connects to multiple data sources including structured and unstructured data, cloud-based data, and big data. Cleansing and manipulating data requires no coding.
Pros and Cons
- Monarch is a self-service data preparation solution that connects to multiple data sources, including structured and unstructured data, cloud-based data, and big data.
- With Monarch, over 80 pre-built data preparation functions can quickly convert disparate data formats into rows and columns for use in data analytics.
- Monarch can export models into common BI or other analytics platforms, saving users time and reducing costs.
- Monarch is a desktop-based solution, which means users can only access it while on a computer with the software installed.
- While Monarch has built-in functions that can help speed up data preparation, it can still be time-consuming for users who are not familiar with data manipulation tools.
- Monarch may not be suitable for large-scale data preparation projects or for users who are not comfortable working with data.
#6
Apify
Product Description
Apify is your one-stop shop for web scraping, data extraction, and RPA. Automate anything you can do manually in a browser.
Pros and Cons
- Apify offers a variety of open-source tools and libraries such as Crawlee, Puppeteer, Scrapy, Selenium, etc. making it user-friendly for developers who have a preference for either Python or JavaScript.
- With Apify, users have access to a pool of data center and residential proxies, and intelligent IP address rotation techniques which help avoid getting blocked by websites during web scraping.
- Apify enables users to store and share scraping results in various structured formats like CSV, JSON, and Excel, with multiple integrations available, thus making it easy for users to analyze and utilize the scraped data.
- Apify is a web scraping solution that requires expertise in programming and development languages and is not suitable for non-technical users.
- While Apify offers a wide range of tools, it can be overwhelming for users who are starting with web scraping. A more streamlined and newbie-friendly version could be beneficial.
- Apify is an Actor-based platform, which means each tool or functionality needs a separate actor to be created, resulting in higher development costs and maintenance efforts for users.
#7
Oxylabs
Product Description
The best proxy service platform with 100M+ Residential and 2M Datacenter IP proxies. Extract public data from any website with ease!
Pros and Cons
- Offers a wide range of proxy locations including the United States of America, the United Kingdom, Japan, Canada, and Germany.
- Provides different types of proxies like Residential Proxies, Mobile Proxies, Rotating ISP Proxies, Datacenter Proxies, and SOCKS5 Proxies that cater to various needs.
- Offers Scraper APIs that allow businesses to collect public data at scale from major search engines, e-commerce marketplaces, real estate websites and a majority of websites.
- The pricing for some of the proxies and Scraper APIs is high, which may not be affordable for small businesses.
- There is no mention of a free trial for proxies, which may make it difficult for potential customers to test the service before making a purchase.
- The website is heavily focused on technical details and may be confusing for those who are not familiar with proxies and web scraping.
#8
Dataddo
Product Description
Connect cloud services with dashboards, data warehouses, and data lakes. ETL, reverse ETL, and data replication all in one platform. No coding required.
Pros and Cons
No-Code Free Pricing Tier: The platform has a free pricing tier which allows users to try out the product without committing any money. This is great for users who want to explore the product before making any investment.
Infinitely Scalable: The product has managed data pipelines that are infinitely scalable. This means that as the user's data needs increase, the product can scale to meet those needs.
Impenetrably Secure: The product is SOC 2 Type II certified and compliant with all major data privacy laws and global standards, including ISO 2700- This is great for users who want to ensure the security of their data.
Limited Free Tier Features: Although the free tier is a pro, it has very limited features and may not be suitable for users with larger data integration needs.
Technical Skill Required: Even though the product is designed for professionals with any level of technical skill, advanced capability under the hood may require technical skill, which could be a barrier to entry for some users.
Limited Adoption: Dataddo may not be as widely adopted as some of its competitors, which may limit community support and adoption of the product in some cases.
#9
Coupler.io
Product Description
Gain the most from your data with a complete set of tools and expert services for integration, automation and visualization.
Pros and Cons
- The platform provides a full-scale solution for data needs from automation to analytics.
- Coupler.io offers a free 14-day trial without the need for credit card information.
- The platform provides expert services that can solve complex data challenges.
- The pricing plans may not be suitable for small businesses with a limited budget.
- Coupler.io's integration is limited to Google Sheets, Excel, and BigQuery, which may not be helpful for businesses using other platforms.
- Users may need to have some degree of technical knowledge to work with the platform, even with its intuitive UI.
#10
Rivery
Product Description
Easily solve your most complex data pipeline challenges with Rivery’s fully-managed cloud ELT tool.
Pros and Cons
- Rivery offers a no-code solution to build complex end-to-end ELT data pipelines quickly, even for custom code scenarios.
- Users can easily extract data from any app or database, load it into their data lake or cloud data warehouse with managed API and CDC replication options few clicks.
- Rivery offers an extensive list of integrations with various data sources and tools, offering flexibility in connecting to all data without requiring pre-built integrations.
- Rivery's pricing plans and packages are not clearly defined on their website, which can make it difficult for potential clients to determine what they need and how much they'll be charged.
- Some users might require an on-premise solution for data integration and management, but Rivery does not offer this option.
- Rivery's system may require a learning curve for users unfamiliar with SQL or Python, which may be an additional obstacle to effective use of the platform.
#11
StreamSets
Product Description
StreamSets data integration platform is a single interface for creating, reusing and sharing data pipelines to unlock your data without ceding control.
Pros and Cons
- Single Interface for the Entire Data Integration Lifecycle: The platform offers a single interface for developing, deploying, and running multiple data pipelines, which can save time and effort.
- Infrastructure Change Management: The platform allows to run data pipelines in any cloud provider or on-premises environment, which can provide flexibility and facilitate modernization efforts.
- Unmatched Pipeline Resiliency: The platform can operate continuously and adapt to changes, which can increase the resiliency of the entire data integration process.
- Cost: The platform may imply additional costs for users, especially if they need to use multiple features or scale to accommodate their data integration needs.
- Expertise: The use of reusable pipeline fragments may require specific expertise to build complex business logic, and user reliance on experts may create knowledge bottlenecks.
- Integration Friction: Some users may experience friction in integrating data due to the complexity of their data sources or the limitations of the platform's connectors.
#12
Browse AI
Product Description
and click, without needing any coding experience. It's perfect for businesses that need to monitor competitors or track market trends. Browse AI is reliable, customizable, and can automate repetitive tasks in minutes.
Pros and Cons
- Accurate and Efficient: Browse AI provides fast and accurate results to users without any lag.
- Competitively Priced: The product is priced competitively which makes it a great choice for small businesses and individuals.
- User-friendly Interface: The interface is user-friendly, and even users with no technical background can use it with ease.
- Limited Languages Support: Browse AI is available only in English, which is a limitation for non-English speaking users.
- Limited Search Functions: The product doesn't provide features like filtering results, which can be a limitation for users with specific requirements.
- Limited Tool Integration: Browse AI doesn't integrate with all the tools required for SEO optimization fully.
#13
nuvo
Product Description
Transform the way you import data with nuvo, to create fast, non-technical way to handle spreadsheet data.
Pros and Cons
- No-Code Data Pipeline: The product offers a no-code data pipeline for ingesting customer data in autopilot, automating data transformation, and ensuring high data quality during import.
- Importer SDK: The Importer SDK can be easily integrated into any web application, enabling clients to import, validate, and clean their spreadsheet data with just a few clicks.
- Secure and Scalable: The product boasts of being a secure and scalable solution for importing CSV and Excel data, enabling users to import spreadsheet data faster than ever before.
- Limited Data Sources: The product only supports CSV and Excel data sources, which may not be sufficient for users who require data from other sources.
- Limited Customization: The product offers limited customization options for data mappings and transformations, which may not be suitable for users with complex data requirements.
- Costly: The product's pricing plans may be expensive for small businesses or individual users who have limited budgets.
#14
ParseHub
Product Description
Pros and Cons
- User-friendly interface for data extraction and web scraping
- Offers pre-built templates for popular websites
- Provides data export in various formats like CSV, Excel, and JSON
- Limited features available in the free plan
- Some difficulty in selecting and customizing data to be scraped
- No built-in scheduling for regular data extraction
#15
Evaboot
Product Description
The Smartest Linkedin Sales Navigator Scraper. Our Linkedin Sales Navigator Extractor clean, extract and enrich all Sales Navigator search results.
Pros and Cons
- Export leads for free
- Automate data cleaning process
- Verify emails to ensure they exist
- May not work if you do not have LinkedIn Sales Navigator
- Limited to lead generation only
- No mention of customer support or assistance
#16
Putler
Product Description
Putler is a multichannel analytics and insights tool. It aggregates data from multiple sources like payment gateways, eCommerce platforms, shopping carts, marketplaces, and Google Analytics. It then provides one single source of truth for all your data and gives you detailed reports and insights across all aspects of your business - sales, orders, customers, website traffic, and much more.
Pros and Cons
- Single source of truth - Putler integrates with 17+ top data sources (payment gateways, eCommerce platforms, Marketplaces, GA etc). You can easily pull in data from one or multiple data sources/websites and then choose to view detailed combined reports across all your data sources or view independent reports from each of them.
- Detailed reports, insights and actions - Putler provides you detailed reports around Sales, Customers, Orders, Website Traffic. It also provides you key insights from all your data. Not just that, Putler has key features like segmentation, forecasting, goal tracking, refunds etc
- Works for all types of business - Putler provides both eCommerce as well as SaaS metrics. It can be used by anyone who sells online, be it physical or digital goods. Putler can be used by all.
- Inbound API - Suppose your data source is not directed integrated in Putler, you can pull in your data using Putler super simple Inbound API
- No fixed pricing - Putler has a metered pricing. That means, the system looks at your last 30 days revenue and checks which pricing slab you fall under and charges you accordingly. So if your revenue rises, your subscription price also rises and if it falls, your subscription also falls.If you are looking for paying a fixed price, then this could be a con.
- No inventory reports - Putler covers reports on sales, orders, customers in detail but it lacks inventory reports.
Missing a tool?
List it here ->Frequently asked
questions
The best data extraction software depends on your specific needs and goals. Some popular options with robust features include Scrapinghub, Octoparse, and ParseHub. Evaluate pricing, ease-of-use, data sources, customer support, and integrations to choose the software that aligns with your business requirements.
Data extraction software offers benefits such as extracting and analyzing vast amounts of data quickly and efficiently, automating data retrieval and processing, improving accuracy and quality of results, reducing human error, and freeing up employee time for more productive tasks. It helps businesses gain insights into their operations, improve decision-making and forecasting, and stay competitive.
The common use of data extraction software is to identify and pull relevant information from various sources such as websites, social media, and databases. It enables businesses to gather insights, track competitors, discover trends, and make informed decisions based on data analysis. It also provides features for data cleaning, formatting, and integration to ensure accuracy and consistency.
When choosing data extraction software, consider features like compatibility with various sources, ease of use, data quality, scheduling and automation, data output options, accuracy, customizability, support for unstructured data, and security features. These factors will help you efficiently extract and manipulate data from different sources.
Data extraction software is used across various industries such as finance, healthcare, retail, e-commerce, government, and more. It helps in extracting relevant data from various sources for analysis and decision-making purposes.
The cost of data extraction software depends on multiple factors such as the type of data being extracted, the complexity of the software, and the provider. It can range from free versions with limited features to $5000 or more for advanced enterprise-level tools.
Yes, there are free data extraction software tools available. Some popular options include Octoparse, ParseHub, and WebScraper.io. These free plans often have limitations on features, scraped data points, and number of scraping tasks. However, they can be a good starting point for individual users or small businesses with basic data extraction needs.
The level of technical expertise required to use data extraction software can vary depending on the specific software and its features. Some may be user-friendly and require minimal technical knowledge, while others may be more complex and require advanced technical skills or assistance from support resources. It is important to thoroughly research and evaluate different data extraction software options before making a decision.
How to use this page to find the right software
Identify your needs and requirements from the software. Consider factors like functionality, features, platform compatibility, budget, and any specific industry or personal preferences.
Based on your needs, prioritize the features or functionalities that are essential for your software.
Explore the website link of each software to gather more detailed information about it.
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