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Data Change Monitoring

Deprecated

Pricing

$5.00/month + usage

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Data Change Monitoring

Data Change Monitoring

Deprecated

Developed by

Juro Oravec

Juro Oravec

Maintained by Community

Monitor data changes between scraper runs or other datasets. Get a report on what fields changed. This actor takes two datasets, and verifies that a sample of entries that are common to both datasets are identical. Output is a list of discrepancies between the two datasets.

0.0 (0)

Pricing

$5.00/month + usage

1

Total users

1

Monthly users

1

Last modified

a year ago

You can access the Data Change Monitoring 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 = {
9 "runType": "ACTOR",
10 "comparisonDatasetMaxEntries": 20,
11}
12
13# Run the Actor and wait for it to finish
14run = client.actor("jurooravec/data-change-monitoring").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

Data Change Monitoring API in Python

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

Install the apify-client

$pip install apify-client

Other API clients include: