News Sentiment Analyzer
Pricing
$6.50 / 1,000 article analyzeds
Go to Apify Store
News Sentiment Analyzer
Analyze news articles for sentiment using NLP. Extract positive, negative, and neutral signals from any news URL or keyword-based news feed.
News Sentiment Analyzer
Pricing
$6.50 / 1,000 article analyzeds
Analyze news articles for sentiment using NLP. Extract positive, negative, and neutral signals from any news URL or keyword-based news feed.
You can access the News Sentiment Analyzer 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 = { "query": "technology news" }9
10# Run the Actor and wait for it to finish11run = client.actor("junipr/news-sentiment-analyzer").call(run_input=run_input)12
13# Fetch and print Actor results from the run's dataset (if there are any)14print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])15for item in client.dataset(run["defaultDatasetId"]).iterate_items():16 print(item)17
18# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startThe Apify API client for Python is the official library that allows you to use News Sentiment Analyzer API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: