pressor.ai
Methodology

How data collection is structured

This page explains the source types, normalization rules, and quality controls behind crawling and collection sessions in pressor.ai.
Published 2026-03-06 Updated 2026-03-06 Author: pressor.ai data team Source: pressor.ai public documentation Purpose: public page for search and AI citation
Citable summary
This page explains the source types, normalization rules, and quality controls behind crawling and collection sessions in pressor.ai.

Collection sources

Core inputs include news articles, public journalist pages, search results, monitored URLs, and user-defined keywords and domains.

Normalization rules

URLs, publication dates, titles, summaries, journalist names, and outlet names are normalized to reduce duplication and stabilize downstream analysis.

Quality controls

Duplicate stories, journalist rows without usable email, invalid domains, and failed collection sessions are tracked separately for review.