Best Data Extraction Software for Zendesk Chat

Compare the Top Data Extraction Software that integrates with Zendesk Chat as of October 2025

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This a list of Data Extraction software that integrates with Zendesk Chat. Use the filters on the left to add additional filters for products that have integrations with Zendesk Chat. View the products that work with Zendesk Chat in the table below.

What is Data Extraction Software for Zendesk Chat?

Data extraction software automates the process of collecting and retrieving information from various sources such as websites, databases, documents, and APIs. It transforms unstructured or semi-structured data into structured formats for easier analysis and processing. Businesses use this software to streamline workflows, gather competitive intelligence, and populate databases with large volumes of information. It supports multiple formats, including PDFs, spreadsheets, and web pages, reducing the need for manual data entry. By accelerating data collection and improving accuracy, data extraction software enhances decision-making and operational efficiency. Compare and read user reviews of the best Data Extraction software for Zendesk Chat currently available using the table below. This list is updated regularly.

1

Dataddo

Dataddo

Dataddo is a fully-managed, no-code data integration platform that connects cloud-based applications and dashboarding tools, data warehouses, and data lakes. It offers 3 main products: - Data to Dashboards: Send data from apps to dashboarding tools for insights in record time. A free version is available for this product! - Data Anywhere: Send data from apps to warehouses and dashboards, between warehouses, and from warehouses into apps. - Headless Data Integration: Build your own data product on top of the unified Dataddo API. The company’s engineers manage all API changes, proactively monitor and fix pipelines, and build new connectors free of charge in around 10 business days. From first login to complete, automated pipelines, get your data flowing from sources to destinations in just a few clicks.

Starting Price: $35/source/month

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2

Rivery

Rivery

Rivery’s SaaS ETL platform provides a fully-managed solution for data ingestion, transformation, orchestration, reverse ETL and more, with built-in support for your development and deployment lifecycles. Key Features: Data Workflow Templates: Extensive library of pre-built templates that enable teams to instantly create powerful data pipelines with the click of a button. Fully managed: No-code, auto-scalable, and hassle-free platform. Rivery takes care of the back end, allowing teams to spend time on priorities rather than maintenance. Multiple Environments: Construct and clone custom environments for specific teams or projects. Reverse ETL: Automatically send data from cloud warehouses to business applications, marketing clouds, CPD’s, and more.

Starting Price: $0.75 Per Credit

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3

Mozart Data

Mozart Data

Mozart Data is the all-in-one modern data platform that makes it easy to consolidate, organize, and analyze data. Start making data-driven decisions by setting up a modern data stack in an hour - no engineering required.

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4

Data Virtuality

Data Virtuality

Connect and centralize data. Transform your existing data landscape into a flexible data powerhouse. Data Virtuality is a data integration platform for instant data access, easy data centralization and data governance. Our Logical Data Warehouse solution combines data virtualization and materialization for the highest possible performance. Build your single source of data truth with a virtual layer on top of your existing data environment for high data quality, data governance, and fast time-to-market. Hosted in the cloud or on-premises. Data Virtuality has 3 modules: Pipes, Pipes Professional, and Logical Data Warehouse. Cut down your development time by up to 80%. Access any data in minutes and automate data workflows using SQL. Use Rapid BI Prototyping for significantly faster time-to-market. Ensure data quality for accurate, complete, and consistent data. Use metadata repositories to improve master data management.

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