Approved Manufacturers of Cosmetic Products

Data as of 25 Jul 2024, 23:59

Complete list of approved manufacturers of cosmetic products with an active license from NPRA. The table provides a preview of the dataset using 10 records as a sample.

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How is this data produced?

This dataset represents an exact copy of the administrative records managed by the National Pharmaceutical Regulatory Agency (NPRA) using the QUEST3+ system, with any columns containing personal data excluded. QUEST3+ is the administrative system used by NPRA to enable the online management of product registrations, variations, licensing, market sampling, renewal and others.

What caveats I should bear in mind when using this data?

Although this data represents administrative records, it nevertheless remains a static dataset which is updated once per day, rather than in real time. As such, this dataset should not be used as the basis for any legal action. Any queries on enforcement of the relevant laws of Malaysia should always be referred to the National Pharmaceutical Regulatory Agency (NPRA).

Publication(s) using this data

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Metadata

Dataset description

Complete list of approved manufacturers of cosmetic products with an active license from NPRA. The table provides a preview of the dataset using 10 records as a sample.

Variable definitions
  • Company
  • State
  • Postcode
  • Phone Number
Last updated:

26 Jul 2024, 01:00

Next update:

02 Aug 2024, 01:00

Data source(s)
  • National Pharmaceutical Regulatory Agency
  • Ministry of Health Malaysia
License

This data is made open under the Creative Commons Attribution 4.0 International License (CC BY 4.0). A copy of the license is available Here.

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Data
Full Dataset (CSV)

Full Dataset (CSV)

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Full Dataset (Parquet)

Full Dataset (Parquet)

Recommended for data scientists seeking to work with data via code.

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Code

Connect directly to the data with Python.

# If not already installed, do: pip install pandas fastparquet import pandas as pd URL_DATA = 'https://storage.data.gov.my/healthcare/cosmetic_manufacturers.parquet' df = pd.read_parquet(URL_DATA) if 'date' in df.columns: df['date'] = pd.to_datetime(df['date']) print(df)

Sample OpenAPI query

This data catalog is not available through OpenAPI as the nature of the data makes it unsuitable for API access. For the full dataset, please use the provided download link as shown in the above section.