Qriton Scales Disinformation Analysis to 2M Records Using Apify

Natasha Lekh· July 8, 2026 View original

▶ The 2-minute explainer

Summary

Qriton successfully scaled its election disinformation analysis to process 2 million records by utilizing Apify, a web scraping and automation platform. This case study details a six-platform crawl that uncovered coordinated influence campaigns related to Armenia's 2026 election.

Qriton, a firm specializing in disinformation analysis, has achieved a significant milestone by processing two million records to investigate coordinated influence operations. This extensive data collection and analysis effort was specifically focused on the context of Armenia's 2026 election, aiming to identify and understand patterns of election-related disinformation. The project highlights the growing need for robust tools and methodologies to combat the spread of false information in political landscapes. The success of this large-scale operation was attributed to the strategic use of Apify, a platform designed for web scraping and automation. By leveraging Apify, Qriton was able to conduct a comprehensive crawl across six different online platforms, effectively gathering the vast amount of data required for their analysis. This case demonstrates how advanced data collection techniques can be applied to critical areas like election integrity and national security.

Why it matters

Professionals in data science, cybersecurity, and public relations need to understand how advanced scraping and analysis tools can be used to detect and combat large-scale disinformation campaigns, which can impact brand reputation, market stability, and democratic processes.

How to implement this in your domain

  1. 1Evaluate web scraping tools like Apify for large-scale data collection needs.
  2. 2Develop strategies for identifying and monitoring potential disinformation sources relevant to your industry.
  3. 3Implement automated data pipelines for continuous monitoring and analysis of online content.
  4. 4Train teams on identifying patterns of coordinated influence and misinformation.
  5. 5Collaborate with data ethics experts to ensure responsible data collection and usage.

Who benefits

CybersecurityPublic RelationsGovernmentMediaMarket Research

Key takeaways

  • Qriton used Apify to scale disinformation analysis to 2 million records.
  • The project focused on coordinated influence around Armenia's 2026 election.
  • Web scraping and automation platforms are crucial for large-scale data collection.
  • This demonstrates practical application in combating election disinformation.

Original post by Natasha Lekh

"Inside the six-platform crawl that exposed coordinated influence around Armenia's 2026 election."

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Originally posted by Natasha Lekh on X · view source

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