Results Checker
Pricing
Pay per usage
Results Checker
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.
0.0 (0)
Pricing
Pay per usage
8
Total users
29
Monthly users
1
Last modified
4 years ago
You can access the Results Checker programmatically from your own 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-startResults 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-clientOther API clients include:
