Typeform Extractor

Simple class to make data extraction from Typeform easier. Includes sentiment analysis from Amazon Comprehend (AWS).

The famous three step process:

1. Create a TypeformExtractor object

credentials = {
    'aws_public_key': 'Your aws public key',
    'aws_private_key': 'Your aws private key',
    'typeform_token': 'Your typeform token'
}
extractor = TypeformExtractor(credentials=credentials)

Required parameters:

credentials: AWS and TypeForm credentials to connect to their APIs

Optional parameters:

page_size: How many results to get on each request
field_prefix: Add a prefix to unnamed fields
debug: If True, it will print debug annotations

2. Call extract method

form_id = 'Your_form_id'
data = test.extract(form_id=form_id)

Required parameters:

form_id: Id of the form to get data from

Optional parameters:

field_names: Dict with all column names to change
sentiment: Columns to analyze with sentiment analysis. If empty, no analysis will be made
fixed_fields: Constant columns to add to the Dataframe, Its value will be the same in all rows
auto_translate: If True, it will fetch column names from Typeform API. Use this with caution, they may not be the names you want or may be too long. It will only fetch columns that do not appear in field_names.

3. Press play!

A more detailed example is located in test.ipynb notebook

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