Authors
Paula-Alexandra Gitu
Roberto Cerina
Stefanie Vandevijvere
Roselinde Kessels
Date (dd-mm-yyyy)
2024-12
Title
AdDownloader: Automating the retrieval of advertisements and their media content from the Meta Online Ad Library
Journal
SoftwareX
Volume
28
Publication Year
2024-12
Document type
Article
Abstract

AdDownloader is a Python package for downloading advertisements and their media content from the Meta Online Ad Library. With a valid Meta developer access token, AdDownloader automates the process of downloading relevant ads data and storing it in a user-friendly format. Additionally, AdDownloader uses individual ad links from the downloaded data to access each ad's media content (i.e. images and videos) and stores it locally. The package also offers various analytical functionalities, such as topic modelling of ad text and image captioning using AI, embedded in a Dashboard. AdDownloader can be run as a Command-Line Interface or imported as a Python package, providing a flexible and intuitive user experience. Applications range from understanding the effectiveness and transparency of online political campaigns to monitoring the exposure of different population groups to the marketing of harmful substances.

URL
go to publisher's site
Permalink
https://hdl.handle.net/11245.1/2f799b57-bcde-42b8-b4ea-2c2ab8bcf128