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Datasets Compare

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Datasets Compare

Datasets Compare

petr_cermak/datasets-compare
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Act for comparing crawler execution results. By default the final result set will contain only new and updated records.

You can access the Datasets Compare 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 = {}
9
10# Run the Actor and wait for it to finish
11run = client.actor("petr_cermak/datasets-compare").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

Datasets Compare API in Python

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

Install the apify-client

pip install apify-client

Other API clients include:

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Maintained by Community
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  • 2 monthly users
  • 3 stars
  • Created in Apr 2018
  • Modified over 2 years ago
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