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Before you start

Before you begin, make sure you meet these prerequisites:

  • An API key for NewsCatcher News API v3 (obtained from your account manager)
  • Python 3.6+ installed on your system
  • The requests library for Python

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Get started

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Step 1 - Set up your environment

First, make sure you have Python and the requests library installed. You can install requests using pip:

pip install requests

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Step 2 - Create your first script

Create a new file named newscatcher_quickstart.py and add the following code:

import requests
import json

# Configuration
API_KEY = "YOUR_API_KEY_HERE"  # Replace with your actual API key
URL = "https://v3-api.newscatcherapi.com/api/search"
HEADERS = {"x-api-token": API_KEY, "Content-Type": "application/json"}
PAYLOAD = {
    "q": "renewable energy",
    "lang": "en",
    "page_size": 1
}

try:
    # Fetch articles using POST method
    response = requests.post(URL, headers=HEADERS, json=PAYLOAD)
    response.raise_for_status()  # Check if the request was successful

    # Print the raw JSON response
    print(json.dumps(response.json(), indent=2))

except requests.exceptions.RequestException as e:
    print(f"Failed to fetch articles: {e}")

Remember to replace YOUR_API_KEY_HERE with your actual API key.

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Step 3 - Run the script and review the results

Run the script from your terminal:

python newscatcher_quickstart.py

You should see a JSON response similar to this (shortened for readability):

{
  "status": "ok",
  "total_hits": 10000,
  "page": 1,
  "total_pages": 10000,
  "page_size": 1,
  "articles": [
    {
      "title": "Energix Renewables and Google Sign a Strategic Renewable Energy Agreement",
      "author": "PR Newswire",
      "authors": ["PR Newswire"],
      "journalists": [],
      "published_date": "2024-08-20 16:28:00",
      "published_date_precision": "full",
      "updated_date": "2024-08-20 16:28:00",
      "updated_date_precision": "full",
      "link": "https://finance.yahoo.com/news/energix-renewables-google-sign-strategic-162800318.html",
      "domain_url": "yahoo.com",
      "full_domain_url": "finance.yahoo.com",
      "name_source": "Yahoo",
      "is_headline": false,
      "paid_content": false,
      "parent_url": "https://finance.yahoo.com/calendar",
      "country": "US",
      "rights": "yahoo.com",
      "rank": 37,
      "media": "https://media.zenfs.com/en/prnewswire.com/e28cbff44206d28b1afd175f5527ddff",
      "language": "en",
      "description": "Energix Renewables, a leader in the U.S. renewable energy sector and part of the Energix Group, a global leader in renewable energy, is proud to announce the signing of a strategic long-term agreement…",
      "content": "Pioneering Agreement to Transform the Renewable Energy Landscape in the U.S.\nARLINGTON, Va., Aug. 20, 2024 /PRNewswire/ -- Energix Renewables, a leader in the U.S. renewable energy sector and part of the Energix Group, a global leader in renewable energy, is proud to announce the signing of a strategic long-term agreement with Google...",
      "word_count": 664,
      "is_opinion": false,
      "twitter_account": "@YahooFinance",
      "all_links": [
        "https://twitter.com/YahooFinance",
        "https://facebook.com/yahoofinance"
        // ... other links
      ],
      "all_domain_links": [
        "rivals.com",
        "prnewswire.com"
        // ... other domain links
      ],
      "id": "a3b8452db164f7cb06c33ae305372115",
      "score": 14.821823
    }
  ],
  "user_input": {
    "q": "renewable energy",
    "search_in": ["title_content"],
    "lang": ["en"],
    "from_": "2024-08-19T00:00:00",
    "to_": "2024-08-26T10:27:51.752362",
    "sort_by": "relevancy",
    "page": 1,
    "page_size": 1
    // ...
  }
}

This response shows you the rich data available for each article, including detailed metadata such as title, author, publication date, source information, and content.

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Step 4 - Modify the query for more specific results

Now that you’ve seen the basic API response, let’s modify our script to filter the results and include some advanced features. Update your script as follows:

import requests
import json

# Configuration
API_KEY = "YOUR_API_KEY_HERE"  # Replace with your actual API key
URL = "https://v3-api.newscatcherapi.com/api/search"
HEADERS = {"x-api-token": API_KEY, "Content-Type": "application/json"}
PAYLOAD = {
    "q": "electric vehicles",
    "lang": "en",
    "countries": "US,GB",
    "from_": "7 days ago",
    "page_size": 10,
    "include_nlp_data": True
}

try:
    # Fetch articles using POST method
    response = requests.post(URL, headers=HEADERS, json=PAYLOAD)
    response.raise_for_status()  # Check if the request was successful

    # Parse and display the articles
    data = response.json()
    articles = data["articles"]

    print(f"Total hits: {data['total_hits']}")
    print(f"Page {data['page']} of {data['total_pages']}")
    print("---")

    for article in articles:
        title = article.get("title", "No Title")
        published_date = article.get("published_date", "No Date")
        sentiment = article["nlp"]["sentiment"]["content"]
        theme = article["nlp"]["theme"]

        print(f"Title: {title}")
        print(f"Published Date: {published_date}")
        print(f"Sentiment: {sentiment}")
        print(f"Theme: {theme}")
        print("---")

except requests.exceptions.RequestException as e:
    print(f"Failed to fetch articles: {e}")

This modified script:

  1. Searches for “electric vehicles”.
  2. Limits results to articles from the United States and Great Britain.
  3. Retrieves articles from the last 7 days.
  4. Returns ten articles per page.
  5. Includes NLP data in the results.
  6. Displays the title, publish date, content sentiment score, and theme for each article.

Run the script again to see the filtered results with NLP data.

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What’s next

Now that you’ve made your first calls to the NewsCatcher News API v3 and explored some of its features, here are some next steps to enhance your usage:

  1. Explore other parameters like predefined_sources, sort_by, iptc_tags, or iab_tags to refine your searches.
  2. Check out our API Reference to learn about all available endpoints and parameters.
  3. Learn how to Implement pagination to handle large datasets.
  4. Dive deeper into the NLP features to extract insights from the news articles.

If you have any questions or need assistance, don’t hesitate to contact our support team. Happy news hunting!

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