Pricing

from $20.00 / 1,000 connector checks

Datasource Pulse — API & Scraper Health Monitor

Apify tells you if your scraper ran. Datasource Pulse tells you if it worked — catching empty results, schema drift, stale data, and quota exhaustion before they corrupt your pipeline. One alert when something degrades, one notice when it recovers.

Pricing

from $20.00 / 1,000 connector checks

Rating

0.0

(0)

Developer

Cecily Robyn Lough

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Monthly active users

10 hours ago

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Categories

Developer tools

Automation

You can access the Datasource Pulse — API & Scraper Health Monitor 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.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

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 = { "checks": [
9        {
10            "type": "credential",
11            "id": "serpapi-main",
12            "label": "SerpAPI — main account",
13            "vendor": "serpapi",
14            "apiKey": "YOUR_SERPAPI_KEY",
15            "impact": "Search-signal enrichment stops flowing",
16            "quotaSoftCap": 4500,
17        },
18        {
19            "type": "credential",
20            "id": "github-pat",
21            "label": "GitHub — main PAT",
22            "vendor": "github",
23            "apiKey": "YOUR_GITHUB_TOKEN",
24        },
25        {
26            "type": "actor",
27            "id": "tiktok-scraper-watch",
28            "label": "clockworks TikTok Scraper",
29            "actorId": "clockworks~tiktok-scraper",
30            "apifyToken": "YOUR_APIFY_TOKEN",
31            "enableVolumeBaseline": False,
32            "enableCostBaseline": False,
33        },
34    ] }
35
36# Run the Actor and wait for it to finish
37run = client.actor("growth_wizard/datasource-pulse").call(run_input=run_input)
38
39# Fetch and print Actor results from the run's dataset (if there are any)
40print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
41for item in client.dataset(run["defaultDatasetId"]).iterate_items():
42    print(item)
43
44# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Datasource Pulse — API & Scraper Health Monitor API in Python

The Apify API client for Python is the official library that allows you to use Datasource Pulse — API & Scraper Health Monitor API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

Other API clients include:

Datasource Pulse — API & Scraper Health Monitor API in JavaScript

Datasource Pulse — API & Scraper Health Monitor API through CLI

Datasource Pulse — API & Scraper Health Monitor OpenAPI definition

Datasource Pulse — API & Scraper Health Monitor API

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