The Euro Food Inflation API specializes in delivering comprehensive data on food inflation rates for multiple countries within Europe. It processes data fields that include country names, current inflation rates, previous rates, reference dates, and measurement units, specifically focusing on percentage values. The API adheres to standards for economic data reporting, ensuring that the information is accurate and up-to-date. Each data entry is structured in a tabular format, allowing for easy parsing and integration into applications. The API outputs data in JSON format, which includes fields for country, last inflation rate, previous inflation rate, reference date, and unit of measurement.
{"countries":["Albania","Austria","Bielorrusia","B\u00e9lgica","Bosnia Y Herzegovina","Bulgaria","Croacia","Chipre","Rep\u00fablica Checa","Dinamarca","Estonia","Zona euro","Uni\u00f3n Europea","Islas Feroe","Finlandia","Francia","Alemania","Grecia","Hungr\u00eda","Islandia","Irlanda","Italia","Kosovo","Letonia","Lituania","Luxemburgo","Macedonia","Malta","Moldova","Montenegro","Pa\u00edses Bajos","Noruega","Polonia","Portugal","Rumania","Rusia","Serbia","Eslovaquia","Eslovenia","Espa\u00f1a","Suecia","Suiza","Turqu\u00eda","Ucrania","Reino Unido"]}
curl --location --request POST 'https://zylalabs.com/api/5929/euro+food+inflation+api/7825/get+european+countries+list' --header 'Authorization: Bearer YOUR_API_KEY' --header 'Content-Type: application/json' --data-raw '{}'
{"country":"Espa\u00f1a","latest_rate":1.7,"reference_date":"2024-11","unit":"%"}
curl --location --request POST 'https://zylalabs.com/api/5929/euro+food+inflation+api/7826/get+food+rates+by+european+country' --header 'Authorization: Bearer YOUR_API_KEY' --header 'Content-Type: application/json' --data-raw '{"country":"Required"}'
{"country":"Espa\u00f1a","previous_rate":"1.9","reference_date":"2024-11","unit":"%"}
curl --location --request POST 'https://zylalabs.com/api/5929/euro+food+inflation+api/7827/historical+food+rate+by+european+country' --header 'Authorization: Bearer YOUR_API_KEY' --header 'Content-Type: application/json' --data-raw '{"country":"Required"}'
| Header | Description |
|---|---|
Authorization
|
[Required] Should be Bearer access_key. See "Your API Access Key" above when you are subscribed. |
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The Euro Food Inflation API provides real-time data on food inflation rates across various European countries, including current and previous inflation rates, reference dates, and measurement units.
The API outputs data in JSON format, structured in a tabular format that includes fields for country, last inflation rate, previous inflation rate, reference date, and unit of measurement.
You can integrate the Euro Food Inflation API into your application by making HTTP requests to the API endpoint and parsing the JSON response to extract the relevant data for your economic analysis.
Yes, the Euro Food Inflation API adheres to standards for economic data reporting, ensuring that the information is accurate and up-to-date.
This endpoint returns the latest food inflation rate for a specified European country, including the country name, the latest inflation rate, the reference date, and the unit of measurement (percentage).
The response includes the country name, previous inflation rate, reference date, and the unit of measurement, allowing users to analyze historical trends in food inflation.
The response data is structured in JSON format, with each entry containing key-value pairs for easy parsing. For example, a typical response includes fields like "country," "latest_rate," and "reference_date."
Users can specify the country for which they want to retrieve the latest food inflation rate. The country must be one of those listed in the response from the "get european countries list" endpoint.
This endpoint provides a comprehensive list of European countries for which food inflation data is available, enabling users to identify valid countries for further data requests.
The API adheres to established standards for economic data reporting, utilizing reliable sources and regular updates to ensure that the information provided is accurate and current.
Common use cases include economic analysis, market research, policy-making, and academic studies, where understanding food inflation trends is crucial for decision-making.
Users can parse the JSON response to extract relevant fields, such as inflation rates and reference dates, and integrate this data into their applications for analysis, reporting, or visualization.
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