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Info

The Feedier API let you import a higher volume (> 2,000 feedback) than the dashboard Import module. If you arae looking to import a volume lower than 2,000 feedback, use this guide.

Step 1: Prepare the file

Feedier API works with CSV file, and support 3 type of data types for the feedback data

  • created_at → Creation time of the feedback entry. ⚠️ The format must be DD/MM/YYYY YYYY-MM-DD HH:MM:SS. In Excel, or Google SpreadhseetSpreadsheet, you can define the custom time format as below:

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    seen in the below example table. The time is not mandatory.

  • question_answer:X → Every answer that needs to be imported in Feedier, must have its own column with the header question_answer:X where X is the Feedier’s Question ID. You can find the Question ID from the Questions page.

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  • All other columns will be treated and imported as Attributes in Feedier.

...

created_at

question_answer:121881

question_answer:121882

customer_id

23/12/2022 2022-12-25 00:00:00

5

I love this company

123

This will create in Feedier a feedback with a creation time 23rd 25rd of December 2022, with a rating score of 5, text answer and attribute customer_id with the value 123.

Note

The file must be UTF-8 encoded and with “;” as seperator and not “,“.

Excel documentation here: https://support.microsoft.com/en-gb/office/import-or-export-text-txt-or-csv-files-5250ac4c-663c-47ce-937b-339e391393ba#:~:text=When%20you%20save%20a%20workbook,your%20computer%2C%20affecting%20all%20applications.

Step 2: Upload the file

(tick) Download the file from Step 1.

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https://api.feedier.com/v1/feedback/bulk?url={csv_file_url}&api_key={private_api_key}

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If you are using a private instance, replace the api.feedier.com with your instance’s API url.

The CSV file URL must be replaced with the URL you get from Step 2 and URL encoded (https%3A%2F%2Fresources.feedier.com%2Fhubfs%2FImport-Feedier-test.csv)

Info

The Private API key, can be found on your Feedier Dashboard with an Admin role:
Organizations → Integrations → Private API key.

Step 4: Call the API

Open your browser and call the url with your CSV file and Private API key.

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