Kompas.id Scrapper
Pay $10.00 for 1,000 results
Kompas.id Scrapper
Pay $10.00 for 1,000 results
Extract data from the Kompas.id news website. This scraper allows users to retrieve various types of articles, including articles by category, hashtag, popularity, promotions, and specific article details. Additionally, it can access trending topics, free books, and ePapers from Kompas.id.
Romy Saputra SihanandaActor Metrics
1 monthly user
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Created in Mar 2025
Modified 17 hours ago
You can access the Kompas.id Scrapper 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 = { "query": {
9 "cursor": "Pagination cursor",
10 "hastag": "Hashtag for filtering",
11 "category": "Category for filtering",
12 "slug": "Slug for articles",
13 "startDate": "Start date (YYYY/MM/DD)",
14 "endDate": "End date (YYYY/MM/DD)",
15 } }
16
17# Run the Actor and wait for it to finish
18run = client.actor("romy/kompas-id-scrapper").call(run_input=run_input)
19
20# Fetch and print Actor results from the run's dataset (if there are any)
21print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
22for item in client.dataset(run["defaultDatasetId"]).iterate_items():
23 print(item)
24
25# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startKompas.id Scrapper API in Python
The Apify API client for Python is the official library that allows you to use Kompas.id Scrapper API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
pip install apify-clientOther API clients include:
