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version](https://badge.fury.io/py/airscraper.svg)](https://badge.fury.io/py/airscraper)\n\nA 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.\nUse it if:\n- You want to download a shared view periodically\n- You don't mind the shared view to be accessed basically without authorization\n\n## Requirements\nBecause its a simple scraper, basically only beautifulsoup is needed\n- BeautifulSoup4\n- Pandas\n\n## Installation\n\n### Using pip (Recommended)\n\n`pip install airscraper`\n\n### Build From Source\n- Install build dependencies:\n``` Bash\npip install --upgrade pip setuptools wheel\npip install tqdm\npip install --user --upgrade twine\n```\n- Build the Package\n  - `python setup.py bdist_wheel`\n- Install the built Package\n  - `pip install --upgrade dist/airscraper-0.1-py3-none-any.whl `\n- Use it without adding python in front of it\n  - `airscraper [url]`\n\n### Direct Execution (Testing Purpose)\n- Clone this project\n- Install the requirements\n  - `pip install -r requirements.txt`\n- run the code\n  - `python airscraper/airscraper.py [url]`\n\n## Usage\n\nCreate a [shared view link](https://support.airtable.com/hc/en-us/articles/205752117-Creating-a-base-share-link-or-a-view-share-link#viewsharelink) 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.\n\n### As CLI\n\n``` Bash\n# Print Result to Terminal\npython airscraper/airscraper.py [url]\n\n# Pipe the result to csv file\npython airscraper/airscraper.py [url] \u003e [filename].csv\n\n```\n\n### As Python Package\n\n``` Python\nfrom airscraper import AirScraper\n\nclient = AirScraper([url])\ndata = client.get_table().text\n\n# print the result\nprint(data)\n\n# save as file\nwith open('data.csv','w') as f:\n  f.write(data)\n\n# use it with pandas\nfrom io import StringIO\nimport pandas as pd\n\ndf = pd.read_csv(StringIO(data), sep=',')\ndf.head()\n```\n\n## Help\n```\nusage: airscraper [-h] [-l LOCALE] [-tz TIMEZONE] view_url\n\nDownload CSV from Airtable Shared View Link, You can pass the result to file using\n'\u003e name.csv'\n\npositional arguments:\n  view_url              url generated from sharing view using link in airtable\n\noptional arguments:\n  -h, --help            show this help message and exit\n  -l LOCALE, --locale LOCALE\n                        Your locale, default to 'en'\n  -tz TIMEZONE, --timezone TIMEZONE\n                        Your timezone, use URL encoded string, default to\n                        'Asia/Jakarta'\n```\n\n## What's next\nCurrently I'm thinking of several things in mind:\n- ✅ Making this installed package\n- Adds accessibility to use it in FaaS Platform (most use case I could thought of are related to this)\n- ✅ Create a proper package that can be imported (so I could use it in my ETL script)\n- ✅ Fill in LICENSE and setup.py, (to be honest I have no idea yet what to put into it)\n  - It turns out there are a lot of resources [out there](https://dzone.com/articles/executable-package-pip-install) if you know what to look for :)\n\n## Contributing\nIf 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](https://twitter.com/banditelolRP)\n\n### Development\n\nIf you're going to try to develop it yourself, here's my overall workflow\n\n**1. Create a virtual environment**\n\nI usually used `venv` on python 3.8 to create a new virtualenvironment\n\n```bash\npython -m venv venv\n# and activate the environment\nsource venv/bin/activate\n```\n\n**2. Create a virtual environment**\n\nInstall necessary requirements and install the package for development using editable\n\n```bash\npip install wheels pytest -q\npip install -r requirements.txt\npip install -e .\n```\n\n**3. Play around with the code**\n\nYou 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!\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbanditelol%2Fairscraper","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fbanditelol%2Fairscraper","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbanditelol%2Fairscraper/lists"}