The IMF DataMapper API can be used to retrieve time series as used in the DataMapper. Endpoints are available to get lists of indicators, countries, regions and ...

What language are you using to pull the data? I would advise that you search "IMF API [data language] documentation" to find information on how to set up your ...

The specifications can be accessed through the API tab located at the top of each dataset. Other related information: Using the SDMX 2.0 Axtarish Service (as ASP.NET ...

International Monetary Fund's API. Data - IMF. Author. François Geerolf ... INDICATOR. Code. imf_codelist <- "http://dataservices.imf.org/REST/SDMX_JSON ...

The IMF's API allows machine access to macroeconomic data covering more than 180 countries. Using python, it is easy to retrieve data from the API's JSON ...

Use the DataStructure method to get the data structure of the desired dataset. The data structure method requires the KeyFamilyID of the dataset, which you can ...

International Monetary Fund API with Python. Brazil, Chile, and Colombia CPI inflation example. January 14, 2019.

The exact format of the key in our API request is determined by the structure of the series. Direction of Trade Statistics, which are grouped by importer ...

Arguments id is a Dataset Series identifier. dimensions is a named list with the dimensions query. start_period is time series start date with formats.

This guide is designed to walk you through the process of retrieving datasets from the International Monetary Fund (IMF) API using Python.