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New York Times Scraper

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New York Times Scraper

New York Times Scraper

theo/new-york-times-scraper
Try for free

7 days trial then $20.00/month - No credit card required now

Scrape news data from nytimes.com with this unofficial API. Extract articles, monitor their popularity and performance and automate the fight against fake news. Filter the results by authors, topics, categories, or publication dates. Preview or download the results in your preferred format.

You can access the New York Times Scraper programmatically from your own Python 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    "startUrls": [{ "url": "https://www.nytimes.com/" }],
10    "maxArticlesPerCrawl": 100,
11}
12
13# Run the Actor and wait for it to finish
14run = client.actor("theo/new-york-times-scraper").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

New York Times Scraper API in Python

The Apify API client for Python is the official library that allows you to use New York Times Scraper API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

pip install apify-client

Other API clients include:

Developer
Maintained by Community

Actor Metrics

  • 6 monthly users

  • 2 stars

  • >99% runs succeeded

  • Created in May 2022

  • Modified 2 years ago

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