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Articles Extractor

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Articles Extractor

Articles Extractor

web.harvester/articles-extractor
Try for free

3 days trial then $15.00/month - No credit card required now

A fast and powerful tool for extracting article data from URLs. It uses advanced scraping techniques to parse HTML and extract relevant information such as the article title, author, publication date, and content. Download your data in any format (JSON, CSV, XML, RSS, HTML Table).

You can access the Articles Extractor 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.cnbc.com/2022/09/21/what-another-major-rate-hike-by-the-federal-reserve-means-to-you.html" }],
10    "proxyConfiguration": { "useApifyProxy": True },
11}
12
13# Run the Actor and wait for it to finish
14run = client.actor("web.harvester/articles-extractor").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

Articles Extractor API in Python

The Apify API client for Python is the official library that allows you to use Articles Extractor 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
  • 24 monthly users
  • 9 stars
  • 100.0% runs succeeded
  • Created in Jun 2023
  • Modified 16 days ago
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