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Airtable Download CSV helper

Project description


Open In Colab PyPI version

A simple scraper to download csv from any airtable shared view programatically, think of it as a programatic way of downloading csv from airtable shared view. Use it if:

  • You want to download a shared view periodically
  • You don't mind the shared view to be accessed basically without authorization


Because its a simple scraper, basically only beautifulsoup is needed

  • BeautifulSoup4
  • Pandas


Using pip (Recommended)

pip install airscraper

Build From Source

  • Install build dependencies:
pip install --upgrade pip setuptools wheel
pip install tqdm
pip install --user --upgrade twine
  • Build the Package
    • python bdist_wheel
  • Install the built Package
    • pip install --upgrade dist/airscraper-0.1-py3-none-any.whl
  • Use it without adding python in front of it
    • airscraper [url]

Direct Execution (Testing Purpose)

  • Clone this project
  • Install the requirements
    • pip install -r requirements.txt
  • run the code
    • python airscraper/ [url]


Create a shared view link and use that link to download the shared view into csv. All [url] mentioned in the examples are referring to the shared view link you get from this step.


# Print Result to Terminal
python airscraper/ [url]

# Pipe the result to csv file
python airscraper/ [url] > [filename].csv

As Python Package

from airscraper import AirScraper

client = AirScraper([url])
data = client.get_table().text

# print the result

# save as file
with open('data.csv','w') as f:

# use it with pandas
from io import StringIO
import pandas as pd

df = pd.read_csv(StringIO(data), sep=',')


usage: airscraper [-h] [-l LOCALE] [-tz TIMEZONE] view_url

Download CSV from Airtable Shared View Link, You can pass the result to file using
'> name.csv'

positional arguments:
  view_url              url generated from sharing view using link in airtable

optional arguments:
  -h, --help            show this help message and exit
  -l LOCALE, --locale LOCALE
                        Your locale, default to 'en'
  -tz TIMEZONE, --timezone TIMEZONE
                        Your timezone, use URL encoded string, default to

What's next

Currently I'm thinking of several things in mind:

  • ✅ Making this installed package
  • Adds accessibility to use it in FaaS Platform (most use case I could thought of are related to this)
  • ✅ Create a proper package that can be imported (so I could use it in my ETL script)
  • ✅ Fill in LICENSE and, (to be honest I have no idea yet what to put into it)
    • It turns out there are a lot of resources out there if you know what to look for :)


If you have similar problem or have any idea to improve this package please let me know in the issues or just hit me up on twitter @BanditelolRP


If you're going to try to develop it yourself, here's my overall workflow

1. Create a virtual environment

I usually used venv on python 3.8 to create a new virtualenvironment

python -m venv venv
# and activate the environment
source venv/bin/activate

2. Create a virtual environment

Install necessary requirements and install the package for development using editable

pip install wheels pytest -q
pip install -r requirements.txt
pip install -e .

3. Play around with the code

You can browse the notebook for explanation on how it works and some example use case, and I really appreciate helps in documentation and testing. Have fun!

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