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Perplexity 2.0 on Apify

Project Link: https://apify.com/winbayai/perplexity-2-0

Our advanced API, powered by AI, enables seamless Google data search and analysis, transforming raw data into actionable insights. It streamlines data retrieval for market research and trend tracking, enhancing decision-making accuracy across diverse industries.

Whether for market research, trend analysis, or content optimization, this Actor delivers precise data support, giving you a competitive edge in today's fast-paced digital landscape.

✨ Key Features

• 🧠 AI-Powered Analysis: Leverages a sophisticated AI engine to analyze and organize information, identifying patterns and trends that might otherwise go unnoticed.
• 📈 Market Insights: Gain a deeper understanding of consumer behavior, market dynamics, and emerging opportunities.
• 🔍 Efficient Data Retrieval: Streamlines the process of retrieving information from Google's vast database, saving you time.
• 🌐 Versatile Applications: Ideal for a wide range of industries, including marketing, academic research, content strategy, and more.
• 🤖 Simple to Use: With a user-friendly interface and robust features, you can get complex analysis with just one simple request.

🚀 How to Use on Apify

You can run this Actor in two ways: directly from the Apify Console for ease of use, or programmatically via the API for integration into your own applications.

1. Using Apify Console (The Easy Way)

1. Find this Actor in the Apify Store.
2. Click Run.
3. Go to the Input tab.
4. In the JSON editor, enter your query in the content field.
5. Click the Start button.
6. When the run finishes, check the Output tab for your results.

2. Using the API

To use the API, you'll need your Apify API token. You can find it in your Apify account settings under the Integrations tab.

API Endpoint

The endpoint for running this Actor is:

https://api.apify.com/v2/acts/winbayai/perplexity-2-0/runs?token=YOUR_APIFY_TOKEN

You need to send a POST request to this endpoint with your query in the request body.

⚙️ Input and Output

Input

The Actor requires a JSON object with a single content field for your query.

Example Input:

{
"content":"What is today's news in America?"
}

Output

The Actor returns a JSON object containing the original query, the AI-generated response, and the list of source search results.

Example Output Structure:

{
"query":"What is today's news in America?",
"choices":"A summary of today's top news stories in America, covering politics, technology, and sports...",
"results":[
{
"title":"Major Tech Bill Passes in Senate",
"link":"https://example.com/news/tech-bill",
"snippet":"The Senate passed a landmark bill aimed at regulating artificial intelligence...",
"position":1
},
{
"title":"New York Giants Win Thriller Game",
"link":"https://example.com/news/sports-giants-win",
"snippet":"In a last-minute victory, the New York Giants defeated their rivals...",
"position":2
}
]
}

💻 Code Examples

Here are some request examples in common languages. Remember to replace YOUR_APIFY_TOKEN with your actual Apify API token.

cURL

curl-X POST \
"https://api.apify.com/v2/acts/winbayai/perplexity-2-0/runs?token=YOUR_APIFY_TOKEN"\
-H"Content-Type: application/json"\
-d'{
 "content": "What is today'\''s news in America?"
 }'

Python (using requests)

import requests
import json
# The Actor's run URL
actor_run_url ="https://api.apify.com/v2/acts/winbayai/perplexity-2-0/runs?token=YOUR_APIFY_TOKEN"
payload ={
"content":"What is today's news in America?"
}
headers ={
"Content-Type":"application/json"
}
response = requests.post(actor_run_url, json=payload, headers=headers)
if response.status_code ==200:
# The actual Actor output is nested in the 'data' field
 data = response.json().get('data',{})
print(json.dumps(data, indent=4))
else:
print(f"Error: {response.status_code}")
print(response.text)

JavaScript (using fetch)

const actorRunUrl ='https://api.apify.com/v2/acts/winbayai/perplexity-2-0/runs?token=YOUR_APIFY_TOKEN';
const payload ={
content:"What is today's news in America?"
};
const options ={
method:'POST',
headers:{
'Content-Type':'application/json'
},
body:JSON.stringify(payload)
};
asyncfunctionrunActor(){
try{
const response =awaitfetch(actorRunUrl, options);
if(!response.ok){
thrownewError(`HTTP error! status: ${response.status}`);
}
// The actual Actor output is nested in the 'data' field
const result =await response.json();
 console.log(JSON.stringify(result.data,null,4));
}catch(error){
 console.error('Error:', error);
}
}
runActor();

🌐 Links

• Official Website: Winbay
• GitHub: Perplexity-API