Updating Airtable Records from CSV using Python

Other Questions Airtable
1

I’m trying to update Airtable records using data from a CSV file in Python. My CSV has two columns: CIN and Nombre de jours travaillés. I want to update only the Nombre de jours travaillés field in Airtable, using CIN as the key.

I’ve read the CSV file and converted it to JSON, but I’m stuck on how to format the data for the Airtable PATCH request. The Airtable API expects this structure:

 data = {
    "records": [
        {
            "fields": {
                "CIN": "some_value",
                "Nombre de jours travaillés": some_number
            }
        }
    ]
}

How can I take my CSV data and put it into this format? I’ve thought about looping through the JSON data and building the structure, or creating a list of records and appending it to the data dictionary.

Once I have the right format, I plan to use requests to send the PATCH request to Airtable. Any tips on how to structure the data correctly would be really helpful!

2

I’ve tackled a similar challenge recently when updating Airtable records from CSV data. Here’s what worked for me:

First, I used pandas to read the CSV file - it’s super efficient for handling this kind of data. Then, I queried Airtable to get the record IDs corresponding to each CIN. This step is crucial because Airtable needs the record ID for updates.

Next, I created a dictionary mapping CINs to record IDs. With this in place, I looped through my DataFrame, creating a list of records to update. Each record included the Airtable ID and the new ‘Nombre de jours travaillés’ value.

The tricky part was dealing with Airtable’s API limitations. They don’t support bulk updates via PATCH, so I had to send individual PATCH requests for each record. It’s slower but ensures each update goes through correctly.

Remember to handle API rate limits and implement error checking. Also, double-check your API key and base ID are correct. This approach worked well for me, hope it helps you too!

3

hey luna, i’ve dealt with similar stuff before. here’s a quick tip: use pandas to read ur CSV, then loop thru the dataframe to create a list of records matching airtable’s format. remember to fetch record IDs first using GET request.

for the PATCH, u gotta do individual requests for each record cuz airtable doesn’t support bulk updates. watch out for API limits tho!

hope this helps! lemme know if u need more details

4

I’ve worked with Airtable and CSV data before, and here’s what I found effective:

Use pandas to read your CSV—it’s efficient and straightforward. Then, query Airtable to obtain the record IDs for each CIN; this is crucial since Airtable requires these IDs for updates.

Next, create a dictionary mapping CINs to record IDs and loop through your DataFrame to build a records list that includes the Airtable ID and the new ‘Nombre de jours travaillés’ value.

Keep in mind that Airtable’s API does not support bulk updates via PATCH, so you’ll need to send individual PATCH requests for each record. Although this method is slower, it ensures accuracy. Watch out for API rate limits and implement robust error handling. Also, verify that your API key and base ID are correct.