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Data Platform

Data Platform documentation

To access Data Platform, go to Data Platform in the left sidebar and sign in using your personal Infatica account credentials. Once logged in, you will have access to the full Data Platform functionality.

Infatica Data Platform is a unified workspace for running, managing, and automating data collection workflows. It helps you create data collection runs, monitor their progress, retry failed items, export results, review usage, and connect Infatica tools to external AI clients or local automation workflows.

Data Platform is designed for teams that need reliable access to structured web data without managing every request manually. You can use it for one-time scraping tasks, recurring data collection, search result monitoring, AI-assisted extraction, cross-run analysis, and scripted workflows.

What you can do with Data Platform​

With Data Platform, you can:

  • create and manage data collection runs;
  • collect data from URLs, search queries, and AI-assisted extraction tasks;
  • monitor run status and item-level progress;
  • retry failed items or full runs;
  • export results in supported formats;
  • review account usage, statistics, and balance;
  • connect AI clients through MCP;
  • automate workflows from the command line with Infatica CLI.

Available documentation sections​

SectionDescription
OverviewGeneral introduction to Data Platform, its purpose, and available functionality.
MCPExplains how to connect Infatica Data Platform to AI clients through the Model Context Protocol. Use this section if you want AI tools to create runs, check statuses, export results, analyze data, or manage schedules on your behalf.
CLIExplains how to install and use the Infatica command-line tool. Use this section if you want to manage runs, export results, check account details, or automate data collection from scripts and CI workflows.

Core workflow​

A typical Data Platform workflow looks like this:

  1. Sign in to your Infatica account.
  2. Open Data Platform from the left sidebar.
  3. Create a new run or connect through MCP / CLI.
  4. Provide input items, such as URLs, search queries, or extraction tasks.
  5. Track the run status until processing is complete.
  6. Export the results or use them in further analysis.

Automation options​

Data Platform can be used directly from the web interface, but it also supports automation through two additional tools:

  • MCP connects Data Platform to AI clients and lets the model use Infatica tools through your authorized Personal Access Token.
  • CLI provides a local command-line interface for creating runs, checking statuses, exporting results, and building repeatable scripts.

For AI client integrations, see the MCP documentation.
For command-line usage, see the CLI documentation.