
Newsweek Scraper
epctex/newsweek-scraper
Scrape the latest articles right away from Newsweek. Retrieve your news directly with the information of title, body, published time, updated time, keywords, images, videos, and many more! Get your data with JSON, XML, Excel, CSV, or many other options. Extremely fast, optimized, and with no limits!
The code examples below show how to run the Actor and get its results. To run the code, you need to have an Apify account. Replace <YOUR_API_TOKEN> in the code with your API token, which you can find under Settings > Integrations in Apify Console. Learn mode
from apify_client import ApifyClient
# Initialize the ApifyClient with your API token
client = ApifyClient("<YOUR_API_TOKEN>")
# Prepare the Actor input
run_input = {
"startUrls": [
"https://www.newsweek.com/ron-desantis-abortion-six-week-bill-2024-1794367",
"https://www.newsweek.com/topic/climate-change",
"https://www.newsweek.com/authors/jon-jackson",
"https://www.newsweek.com/search/site/?q=biden",
"https://www.newsweek.com/education",
],
"search": "donald trump",
"maxItems": 20,
"endPage": 1,
"extendOutputFunction": "($) => { return {} }",
"customMapFunction": "(object) => { return {...object} }",
"proxy": { "useApifyProxy": True },
}
# Run the Actor and wait for it to finish
run = client.actor("epctex/newsweek-scraper").call(run_input=run_input)
# Fetch and print Actor results from the run's dataset (if there are any)
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)