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Results Checker

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Results Checker

Results Checker

lukaskrivka/results-checker
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Check the results of your scrapers with this flexible checker. Just supply a dataset or key-value store ID and a few simple rules to get a detailed report.

You can access the Results Checker 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 = { "functionalChecker": """() => ({
9    url: (url, item) => typeof url === 'string' && url.startsWith('http') && url.length > 10,
10    myField: (field, item) => true // this means an optional fields (always passes)
11})""" }
12
13# Run the Actor and wait for it to finish
14run = client.actor("lukaskrivka/results-checker").call(run_input=run_input)
15
16# Fetch and print Actor results from the run's dataset (if there are any)
17print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
18for item in client.dataset(run["defaultDatasetId"]).iterate_items():
19    print(item)
20
21# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Results Checker API in Python

The Apify API client for Python is the official library that allows you to use Results Checker 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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  • 1 monthly user

  • 8 stars

  • Created in May 2019

  • Modified 4 years ago

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