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Coronavirus stats in China

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Coronavirus stats in China

Coronavirus stats in China

katerinahronik/covid-china
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Gets the statistics of the actual number of current confirmed, confirmed, suspected, cured and deceased people by COVID-19 in China from https://github.com/BlankerL/DXY-COVID-19-Data/blob/master/json/DXYOverall.json.

You can access the Coronavirus stats in China programmatically from your own Python applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = { "email": "example@example.com" }
9
10# Run the Actor and wait for it to finish
11run = client.actor("katerinahronik/covid-china").call(run_input=run_input)
12
13# Fetch and print Actor results from the run's dataset (if there are any)
14print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
15for item in client.dataset(run["defaultDatasetId"]).iterate_items():
16    print(item)
17
18# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Coronavirus stats in China API in Python

The Apify API client for Python is the official library that allows you to use Coronavirus stats in China API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

pip install apify-client

Other API clients include:

Developer
Maintained by Community

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  • 1 monthly user

  • 2 stars

  • >99% runs succeeded

  • Created in Mar 2020

  • Modified 4 years ago

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