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---
license: mit
tags:
- Software Analysis
pretty_name: Mac App Store Applications Metadata
size_categories:
- 10K<n<100K
language:
- en
- de
configs:
- config_name: metadata_UA
data_files: "metadata-UA.csv"
- config_name: metadata_US
data_files: "metadata-US.csv"
- config_name: metadata_DE
data_files: "metadata-DE.csv"
---
# Dataset Card for Macappstore Applications Metadata
<!-- Provide a quick summary of the dataset. -->
Mac App Store Applications Metadata sourced by the public API.
- **Curated by:** [MacPaw Inc.](https://huggingface.co/MacPaw)
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<!--- **Shared by [optional]:** [MacPaw Inc.](https://huggingface.co/MacPaw) -->
- **Language(s) (NLP):** Mostly EN, DE
- **License:** MIT
## Dataset Details
This data aims to cover our internal company research needs and start collecting and sharing the macOS app dataset since we have yet to find a suitable existing one.
Full application metadata was sourced by the public iTunes search API for the US, Germany, and Ukraine between December 2023 and January 2024.
The data is organized into 43 columns ranging from such essential details as app names, descriptions, and genres, along with release and version information, user ratings, and asset links.
<!--For the convenience of further analysis, we present the data as three separate datasets: metadata, release notes, and descriptions.
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## Uses
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<!--## Dataset Structure
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### Source Data
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## Data Collection and Processing
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The data was fetched by querying the iTunes Search API with
the request:
`https://itunes.apple.com/search?term={term} &country={country}&entity={entity}&genreId=genre &limit={limit}&offset={offset}},`
where the `term` parameter was selected in a way that maximized app types and skipped games; `country` and `offset` had to be specified to avoid the API limitations.
The data is provided in its original form without any additional cleaning or transformations. It contains over 87,000 samples and is grouped by the country API and is presented in the corresponding CSV files: `metadata-US.csv`, `metadata-DE.csv`, and `metadata-UA.csv`.
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#### Personal and Sensitive Information
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## Bias, Risks, and Limitations
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### Recommendations
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<!--## Citation
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## Links
- [MacPaw Research](https://research.macpaw.com/)
- [Mac App Store Applications Release Notes dataset](https://huggingface.co/datasets/MacPaw/macappstore-apps-release-notes)
- [Mac App Store Applications Descriptions dataset](https://huggingface.co/datasets/MacPaw/macappstore-apps-descriptions)
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## Dataset Card Contact
Feel free to reach out tech-research@macpaw.com if you have any questions or need further information about the dataset!