Tech News Article Scraper
Pricing
Pay per event
Tech News Article Scraper
Tech News Article Scraper is a simple yet powerful tool to extract news articles from a variety of popular news websites. Supported The Verge, CNET, Wired, TechCrunch, Ars Technica
0.0 (0)
Pricing
Pay per event
5
Total users
26
Monthly users
7
Runs succeeded
>99%
Last modified
3 months ago
You can access the Tech News Article Scraper 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 ApifyClient2
3# Initialize the ApifyClient with your Apify API token4# Replace '<YOUR_API_TOKEN>' with your token.5client = ApifyClient("<YOUR_API_TOKEN>")6
7# Prepare the Actor input8run_input = {9 "source": "www.wired.com",10 "startDate": "",11 "endDate": "",12 "proxy": { "useApifyProxy": False },13 "maxConcurrency": 5,14 "maxRequestsPerMinute": 200,15 "maxRecords": 1,16}17
18# Run the Actor and wait for it to finish19run = client.actor("inquisitive_sarangi/news-article-scraper").call(run_input=run_input)20
21# Fetch and print Actor results from the run's dataset (if there are any)22print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])23for item in client.dataset(run["defaultDatasetId"]).iterate_items():24 print(item)25
26# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startTech News Article Scraper API in Python
The Apify API client for Python is the official library that allows you to use Tech News Article Scraper API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include:
