Abstract: Methods, apparatus, and systems are disclosed to measure online purchasing history. An example apparatus includes a query controller to: generate a first request to a first order history page of a first retailer based on obtaining authorization to access the first order history page, and generate a second request to a second order history page of a second retailer based on obtaining authorization to access the second order history page, the first and second retailers selected based on a list of retailers, and a scrape controller to: scrape the first order history page and the second order history page, identify order characteristics based on information scraped from the first order history page and the second order history page, the order characteristics indicative of an online purchasing behavior corresponding to the first retailer and the second retailer, and store order characteristics in memory to provide to a central facility.

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed herein to associate a data collector with a class by executing a classification model using a first data collector characteristic, the first data collector characteristic corresponding to the data collector, the classification model generated by applying a learning algorithm to classification training data, the classification training data including second data collector characteristics of a training group, select the class based on a requested characteristic of a task request from a distribution agent, select the data collector associated with the class, and send the selection to the distribution agent.