Metadata-Version: 2.1
Name: python-airtable
Version: 0.5
Summary: Python module for accessing Airtable (largely based on the original airtable-python-wrapper).
Home-page: https://github.com/fivehealth/python-airtable
Author: 5 Health Inc
Author-email: engineers@botmd.io
License: The MIT License (MIT)
Keywords: airtable,api
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Environment :: Console
Classifier: Intended Audience :: Developers
Classifier: Programming Language :: Python
Classifier: Topic :: Software Development
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: Implementation :: CPython
Requires-Python: >=3.5
Description-Content-Type: text/markdown
Requires-Dist: requests (>=2)
Requires-Dist: six (>=1.10)

# Python Airtable

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This is a Python module for accessing Airtable largely based on the original [airtable-python-wrapper](https://github.com/gtalarico/airtable-python-wrapper/) by [Gui Talarico](https://github.com/gtalarico) with some modifications.

## Installing

```
pip install python-airtable
```

## Documentation

Thee original full documentation is available [here](http://airtable-python-wrapper.readthedocs.io/).

### Usage Example

```python
from airtable import Airtable

# We updated the signature of `Airtable` class to support `airtable://` scheme URLs along with `view` and `sort` supported within the URLs.
airtable = Airtable('airtable://app1234567890/table_name?view=My%20View&sort=ID')

for record_id, fields in airtable.iter_records():
    print(f'Record ID: {record_id}, Fields: {fields}')

# Now you can get all the Airtable records as a big dictionary with record ID as keys
airtable.get_all_as_dict()

airtable.insert({'Name': 'Brian'})

# We added `batch_insert` and support generators for the records arguments; chunking of records to 10 each is done automatically.
airtable.batch_insert([record1, record2, ...])
airtable.batch_update([(id1, record1), (id2, record2), ...))  # same for batch_update

airtable.search('Name', 'Tom')

airtable.update_by_field('Name', 'Tom', {'Phone': '1234-4445'})

airtable.delete_by_field('Name', 'Tom')
```


