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Collecting data from YouTube using the official API: A tutorial and a ready-to-use tool.

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Τίτλος: Collecting data from YouTube using the official API: A tutorial and a ready-to-use tool.
Συγγραφείς: Campos-Moinier K; University of Strasbourg, LPC UR 4440, 12 Rue Goethe, F-67000, Strasbourg, France. kevin.campos@unistra.fr.
Πηγή: Behavior research methods [Behav Res Methods] 2026 Jul 15; Vol. 58 (8). Date of Electronic Publication: 2026 Jul 15.
Τύπος έκδοσης: Journal Article
Γλώσσα: English
Στοιχεία περιοδικού: Publisher: Springer Country of Publication: United States NLM ID: 101244316 Publication Model: Electronic Cited Medium: Internet ISSN: 1554-3528 (Electronic) Linking ISSN: 1554351X NLM ISO Abbreviation: Behav Res Methods Subsets: MEDLINE
Imprint Name(s): Publication: 2010- : New York : Springer
Original Publication: Austin, Tex. : Psychonomic Society, c2005-
Ιατρικοί όροι (MeSH): Data Collection*/methods , Social Media* , Software*, Humans ; User-Computer Interface ; Internet
Περίληψη: Online data from social media platforms provide an observational window into a wide range of psychological phenomena and real-world social interactions. Accessing these data typically requires the use of application programming interfaces (APIs), which are designed to ensure compliance with the legal and ethical frameworks governing the access, processing, and storage of potentially identifiable information. However, implementing API-based data collection within a dedicated program remains a major barrier for many researchers. This article addresses this challenge by introducing a ready-to-use data collection tool based on the official YouTube Data API (v3) and providing step-by-step guidance for its use. Geared toward researchers and practitioners with little or no prior programming experience, the tutorial enables users to implement transparent and reproducible API-based data collection procedures in their research. The tool and a fully documented interactive Python notebook are freely available via a public GitHub repository.
(© 2026. The Psychonomic Society, Inc.)
Competing Interests: Declarations. Conflict of interest: The author declares that there are no conflicts of interest to report. Ethics approval: Not applicable. Consent to participate: Not applicable. Consent for publication: Not applicable.
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Contributed Indexing: Keywords: API-based data collection; Open science; Social media data; YouTube Data API
Entry Date(s): Date Created: 20260715 Date Completed: 20260716 Latest Revision: 20260729
Update Code: 20260729
DOI: 10.3758/s13428-026-03116-8
PMID: 42458152
Βάση Δεδομένων: MEDLINE
Περιγραφή
ISSN:1554-3528
DOI:10.3758/s13428-026-03116-8