Coupler.io Blog

10 Best Data Extraction Tools in 2025 For Your Business

  • Zakhar Yung

    • Your business generates valuable data across Salesforce, Google Analytics, QuickBooks, and dozens of other platforms every day. Yet most entrepreneurs are making million-dollar decisions with fragmented insights trapped in data silos. While your competitors struggle with manual exports and outdated spreadsheets, the right data extraction tool can help you outgun them. So, the question is which solution will give you the competitive edge by turning your scattered business data into your greatest strategic asset. And we have the answer right below!

    Best 10 data extraction tools in 2025

    #1 – Coupler.io

    11 coupler logo

    Coupler.io is a data automation and analytics platform that provides a comprehensive ETL tool to get your data from multiple sources to three destinations. To use Coupler.io for data extraction, choose the data connector and configure it to connect to the desired data source. Coupler.io offers a range of connectors that can extract data from specific sources, such as Shopify, Clockify, and Jira. You can use Google Looker Studio, Power BI, or Tableau for further data visualization, custom dashboards, and charts.

    Coupler.io allows users to easily connect to various data sources, including popular databases, SaaS applications, and CSV files, and extract data using customizable queries. Data can then be transformed using different options, such as filtering, mapping, and merging, before being loaded into a database, BigQuery as a data warehouse, or a spreadsheet app. With Coupler.io, users can save time and effort by automating their data integration processes and taking advantage of a range of powerful features.

    Coupler.io features

    Coupler.io pricing

    Coupler.io comes with 5 subscription plans to meet every need. You can start using the tool with a 7-day free trial on the Team plan and then upgrade/downgrade to one of the following options. You can even save 20% on every plan by paying annually:

    Who can benefit from Coupler.io?

    #2 – Rivery.io

    Rivery.io is a data integration platform that allows users to extract, transform, and load data from various sources. It offers a range of data cleaning, deduplication, and normalization features, as well as support for scheduling and automated data flows.

    This ETL platform offers collaboration and sharing features that allow users to collaborate on data integration projects and share their work with others. Data prep, cleaning, and transformation are performed in the database with the help of different rivery.io features, saving time and technical resources. 

    The tool charges based on actual usage, not the number of rows, allowing you to scale tasks flexibly and transparently.

    Rivery.io features

    Rivery.io pricing

    As part of the tool’s RPU credits system (Rivery Pricing Unit Credit), there are credits for sources charged for each execution of a data pipeline or database or file storage sources charged for the amount of data transferred.

    Rivery’s free trial includes access to all of the professional plan features for 14 days or 1,000 free credits (worth $1,200) of usage.

    When your trial period ends, you can continue using one of the following plans: 

    Who can benefit from Rivery.io?

    The ETL tool is more popular among current business lines, such as E-commerce, AdTech, Pharmaceuticals, and Real Estate.

    Rivery can be useful for:

    #3 – Octoparse

    Octoparse is a web scraping and data extraction tool that allows users to extract structured data from websites and other online sources. It offers a visual interface for building web scraping tasks and advanced features for handling AJAX, JavaScript, and CAPTCHAs.

     It can be used for tasks such as price comparison, contact information collection, and data mining. The tool features a user-friendly interface and requires no coding skills, making it suitable for people with little or no programming experience. It also offers advanced options for users who want more control over the scraping process. Octoparse can be used to scrape data from almost any website and supports multiple languages.

    Octoparse features

    Octoparse pricing

    Octoparse offers a free version with limited features and paid plans:

    Who can benefit from Octoparse?

    Octoparse can be helpful for professionals who need to extract data from websites and online sources.

    The most common use cases, based on the business niche, are:

    #4 – Bright Data

    Bright Data offers a range of features for data cleansing, enrichment, and transformation, as well as support for scheduling and automation. The platform provides a service called Web Unlocker, which is best for use cases involving web scraping. Instead of manually dealing with CAPCHAs, blocks, and other restrictions, Web Unlocker does the unlocking with 100% success rates. The other services are SERP API to get user search results for any keyword on every major search engine and Proxy Network — the proxy infrastructure with huge GEO coverage.

    Bright Data features

    Bright Data pricing

    Bright Data offers a 7-day free trial and paid plans starting at $500 per month. There is also an option for the “Pay per use” pricing.

    Who can benefit from Bright Data?

    This platform will be useful while enriching data with additional information from external sources. Bright Data includes a range of no-code data solutions utilized by business owners and a robust infrastructure. The most common use-cases are:

    #5 – Fivetran

    Fivetran offers a range of features for data integration, including support for real-time data synchronization, scheduling, and automation.

    The tool is designed to make it easy for businesses to extract and centralize their data in a single location, such as a data warehouse, for analysis and reporting. Fivetran offers pre-built connectors for a wide range of data sources, making it easy to set up and maintain connections. The tool also features automatic schema detection and data transformation, ensuring that data is correctly formatted and structured for analysis.

    Fivetran features

    Fivetran pricing

    Fivetran has a usage-based pricing model. You will be charged for the MAR (monthly active rows). A 14-day free trial is available. 

    Who can benefit from Fivetran?

    Fivetran is a suitable tool for companies looking to improve their data management and analysis capabilities, especially in FinTech and MarTech. This ETL tool will be helpful for:

    #6 – ScrapingBee

    ScrapingBee is an ETL tool with a large proxy pool, which allows you to bypass rate-limiting websites, and lower the chance to get blocked. 

    The platform allows users to schedule the data extraction processes to run automatically at specific intervals, eliminating the need for manual data management tasks.

    ScrapingBee can handle websites that use AJAX, JavaScript, and CAPTCHAs, making it easier to extract data from dynamic and interactive pages. With JavaScript rendering, a simple parameter enables you to scrape any web page using React, AngularJS, or Vue.js.

    ScrapingBee features

    ScrapingBee pricing 

    1,000 free API calls are available as a testing option.

    Who can benefit from ScrapingBee?

    Data analysts, marketers, researchers, and others who need to extract data from websites can benefit from ScrapingBee.

    #7 – Stitch

    Stitch or Stitch Data is an ETL service for businesses of all sizes. The platform allows users to extract data from various sources, including databases, SaaS applications, and CSV files. Using Stitch’s features, you can synchronize data in real time, ensuring that the destination data is always up-to-date.

    Users can configure the data extraction process by setting up custom data pipelines that extract data from the source and transform it into the desired format. This platform will be helpful in supporting multiple environments, transferring data, or maintaining a hybrid data stack.

    Stitch features

    Stitch pricing 

    Stitch Data offers a 14-day free trial. The pricing plans available are:

    Who can benefit from Stitch?

    Use cases for Stitch include consolidating data from multiple databases into a single dataset, cleaning and standardizing data from multiple sources, and automating data integration and transformation pipelines.

    The platform will be more suitable for:

    #8 – Docparser

    Docparser is a data extraction and conversion tool that allows users to extract structured data from PDF and other document formats. It offers a range of features for extracting data from invoices, receipts, contracts, and other types of documents, as well as support for data validation and transformation.

    Docparser features

    Docparser pricing

    Docparser offers a free trial for 21 days. There are 4 types of pricing plans:

    Who can benefit from Docparser?

    Docparser can be useful for businesses and organizations that need to extract and convert data from PDF and other document formats. Some examples of use cases for Docparser include extracting data from invoices for accounting purposes, extracting data from contracts for legal review, and extracting data from receipts for expense management.

    Among the specialists using this service are:

    #9 – Import.io

    Import.io enables users to convert the mass of data on websites into structured, machine-readable data with no coding required. The point-and-click interface transforms websites into data. The platform allows customers to process 1,000s of URLs and access millions of rows of data with JSON REST-based and streaming APIs and integrations. To ensure all data is gathered, the platform can collect images, data from lists, nested categories, and hidden content and follow pagination structures like get more, next, and infinite scrolling.

    Import.io automates data extraction processes, reducing the need for manual data management.

    Import.io features

    Import.io pricing 

    The prices for different plans start at $299 per month. A free trial is available.

    Who can benefit from Import.io?

    Customer data, images, and reporting are used for price monitoring, investment research, gathering images and descriptions for online marketplaces, machine learning, and artificial intelligence.

    The tool will be a better choice for: 

    #10 – Astera

    Astera is a data integration and automation platform with multiple data-driven tools. Astera ReportMiner is an automated data extraction solution and an ETL engine. It helps businesses streamline the extraction, transformation, and integration of data trapped in complex documents and unstructured data files.

    The data extraction features support real-time data synchronization, scheduling, and automation. The data extraction process can be customized by setting up custom data pipelines to extract and transform data.

    Astera features

    Astera pricing

    Plans aren’t provided in official sources. Contact Astera directly for pricing details. A 14-day free trial is available.

    Who can benefit from Astera?

    Astera is helpful for Small and Medium Enterprises (SMEs) and large enterprises in the energy, financial, manufacturing, education, healthcare, and retail industries.

    The list of the most common industries and uses-cases:

    Why do businesses need data extraction?

    Data extraction involves obtaining information from various sources and then transforming it into a structured format to make business decisions and gain insights. By using the features of data integration tools, you can unify different data sets and consolidate data flows.

    Businesses need tools for data extraction to save time and resources by automating the data collection process. Automatic data extraction tools can also provide a more accurate and comprehensive view. Such instruments can be particularly useful for businesses that need to collect and analyze large amounts of data from various sources in a short amount of time. This is because they can help businesses gain insights into customer preferences, trends, and other data points that can inform business strategies.

    To better understand, analyze, and communicate the underlying patterns and trends, specialists can use data visualization, the process of creating graphical representations of data sets. 

    There are many ways that extracted data can be applied to visualization, including:

    After extracting data from a source, you may need to filter out irrelevant information, fill in missing values, or manipulate the data so that it fits the desired format. At this stage, take advantage of data transformation tools. The next step is to select an appropriate visualization method (choosing a chart type and selecting specific design elements). The final stage is to create and fine-tune the visualization. The resulting data and combined dashboards can then be shared and discussed with others to make informed decisions.

    What data types you can extract

    How do data extraction tools actually work

    Data extraction tools automate the process of extracting data from a specific source and transforming it into a more usable and easier-to-understand format. To extract data using one of these tools, you typically need to specify the source and specific data you want. 

    The tool will then access the source and retrieve the data, often using web scraping or other methods to gather and parse the information. Once the data has been collected, it can be stored in a structured format. Some data extraction tools also offer additional features, such as the ability to transform or clean the data and scheduling options for automatic extractions at regular intervals.

    The process typically involves the following steps:

    1. Identification of the source of the data.
    2. Definition of the data points to be extracted. This may involve selecting specific elements or attributes on a webpage or defining specific fields in a database or API.
    3. Extracting the data. The extracted data is typically stored in a structured format, such as a spreadsheet or database table.
    4. Organizing the data. This data may require some cleaning and organizing before it is ready for analysis. This may involve removing duplicates, formatting the data correctly, or eliminating any errors.
    5. Export of the data. Ready-made datasets can be exported in various formats, including CSV, Excel, and JSON. The format is determined by the purpose (analyzing the data in a BI platform, or using it to train a machine learning algorithm).

    Code vs. no-code data extraction tools

    There are two main categories of data extraction tools: code-based tools and no-code tools.

    Code-based tools require users to write code to extract data. These tools also need a certain level of programming skill and technical expertise. Examples of code-based data extraction tools include:

    Data extraction tools that do not require users to write code are called no-code. Unlike code-based tools, these tools are typically easier to use, more user-friendly, and may be less powerful. Examples of no-code data extraction tools include data integration platforms, such as Coupler.io, which offer a range of connectors and tools for extracting data from a variety of sources without the need to write code; web scraping tools, such as Octoparse to extract data from websites by specifying the data and the website; spreadsheet software, which offers a range of features and tools for extracting data from various sources.

    An API data extraction algorithm generally works by sending requests to an API and receiving responses in a particular format, like JSON or XML. After parsing the response, the algorithm can extract the desired data points. To extract API data, algorithms use various techniques, such as:

    For APIs that return large amounts of data in multiple pages or batches, data extraction algorithms may also use pagination techniques.

    The main types of data extraction tools

    The type of data extraction tool that is best suited for a particular task will depend on the source and format of the data. In addition, such a choice will rely on the specific data points that need to be extracted.

    There are several types of data extraction tools available:

    These tools work with a wide range of data sources. The following are a few of them:

    Some tools include some data processing and are known as ETL tools. ETL stands for Extract, Transform, and Load. It refers to a process in data warehouses where data is extracted from various sources. The data is transformed to fit a specific format or structure and then loaded into a target system, such as a data warehouse.

    Benefits of using data extraction tools

    Data extraction instruments can offer significant benefits in terms of time and resource savings, accuracy, customization and flexibility, and scalability. Here are some advantages of using data extraction tools:

    Anyone who collects and analyzes large amounts of data from various sources can benefit from data extraction tools. These tools can be used by individuals and organizations alike, including:

    1. Companies that conduct market research. These companies utilize data extraction tools to learn about consumer behavior, competitors, and market trends.
    2. Researchers can use data extraction tools to gather data for analysis and research purposes in economics, sociology, and political science.
    3. Data scientists and analysts can collect and clean large amounts of data for machine learning or artificial intelligence applications.
    4. Students and educators can use these tools to collect data for projects and assignments and learn the basics of data extraction and analysis.

    How to choose the best automatic data extraction tool?

    Before selecting a data extraction tool for your business, it is important to research and determine which solution will best meet your current needs. There are several factors to consider when choosing a data extraction tool. Let’s highlight the main ones:

    1. Data source. The first step is to determine the source or sources of the data you intend to extract (databases, SaaS applications, CSV files). This will help narrow down the options and ensure that you select a tool that is compatible with your data sources. 
    1. Data format. Consider the format of the data you want to extract and ensure that the tool you choose can handle it. 
    1. Data transformation. Does the tool offer features for cleaning, deduplicating, and transforming data into the desired format?
    1. Scheduling and automation. Make sure the tool allows you to schedule data extraction processes to run automatically at specific intervals if needed.
    1. Pricing: Consider the cost of the tool and whether it is within your budget. Some tools may use freemium mode or have a free trial period, while others may require a subscription or one-time fee.

    Subscription-based pricing is a standard pricing model used in SaaS products. But using some platforms, you should pay a recurring fee regularly (such as monthly or annually) to access the software. And in the case of the pay-per-use pricing model, customers pay for the specific features or services they use rather than a flat fee. This can be an attractive option for businesses using the software sparingly.

    1. Data points: Ensure that the tool you choose extracts specific data points. Some tools may be limited in their capabilities.
    1. Usability. If you are not a technical person, you may want to choose a tool with a user-friendly interface and clear documentation.
    1. Customer support. Consider the level of support offered by the tool, including documentation, forums, templates, use cases, and other training resources.

    By carefully considering these factors, you can choose an ETL tool that is well-suited to your business needs and will help you effectively extract, transform, and load data from various sources. It may also be helpful to try out multiple tools and see which one works best for your particular use case.

    In conclusion, the top 10 data extraction tools we’ve discussed in this article can help you make informed decisions using your data. By choosing a powerful ETL tool, such as Coupler.io, you can save time on data extraction, transformation, and management and use it to uncover valuable insights to improve your data-driven business and drive its growth. Remember that this list is not exhaustive, and you may find other solutions that better suit your specific needs. Best of luck in finding the right tool for you.

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