Basic Usage Examples
Here are some basic examples of how to use the Company Research & Analysis Agent in different scenarios.
Web Interface Example
The simplest way to use the actor is through the Apify web interface.
- Visit the actor’s page
- Enter a domain name
- Click “Start”
Command Line Example
Using curl to start an actor run:
curl --request POST \
--url https://api.apify.com/v2/acts/pratikdani~company-research-analysis-agent/runs?token=YOUR_API_TOKEN \
--header 'content-type: application/json' \
--data '{
"domain": "apify.com"
}'
Python Example
Simple script to research a company:
from apify_client import ApifyClient
# Initialize the client
client = ApifyClient('YOUR_API_TOKEN')
# Run the actor
run_input = {
'domain': 'apify.com'
}
# Start the run
run = client.actor('pratikdani/company-research-analysis-agent').call(run_input=run_input)
# Wait for the run to finish and fetch results
results = client.dataset(run['defaultDatasetId']).list_items().items
# Print the generated report
print(results[0]['generated_report'])
Node.js Example
Using the actor with Node.js:
const { ApifyClient } = require('apify-client');
// Initialize the client
const client = new ApifyClient({
token: 'YOUR_API_TOKEN',
});
async function researchCompany() {
// Start the actor and wait for it to finish
const run = await client.actor('pratikdani/company-research-analysis-agent').call({
domain: 'apify.com'
});
// Fetch and print results
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items[0].generated_report);
}
researchCompany();
Batch Processing Example
Research multiple companies at once:
from apify_client import ApifyClient
import asyncio
async def research_companies(domains):
client = ApifyClient('YOUR_API_TOKEN')
results = []
for domain in domains:
try:
# Start the actor run
run = await client.actor('pratikdani/company-research-analysis-agent').call(
run_input={'domain': domain}
)
# Get the results
items = await client.dataset(run['defaultDatasetId']).list_items()
results.append(items.items[0])
except Exception as e:
print(f"Error processing {domain}: {str(e)}")
return results
# List of companies to research
domains = [
'apify.com',
'microsoft.com',
'apple.com'
]
# Run the batch process
results = asyncio.run(research_companies(domains))
# Process results
for result in results:
print(f"Company: {result['domain']}")
print(f"Report Length: {len(result['generated_report'])} characters")
print("---")
Save Results Example
Save the research results to a file:
import json
from apify_client import ApifyClient
def save_company_research(domain, output_file):
# Initialize the client
client = ApifyClient('YOUR_API_TOKEN')
# Run the actor
run = client.actor('pratikdani/company-research-analysis-agent').call(
run_input={'domain': domain}
)
# Get results
results = client.dataset(run['defaultDatasetId']).list_items().items[0]
# Save to file
with open(output_file, 'w') as f:
json.dump(results, f, indent=2)
print(f"Results saved to {output_file}")
# Use the function
save_company_research('apify.com', 'apify_research.json')
Remember to replace ‘YOUR_API_TOKEN’ with your actual Apify API token in all examples.