Lead Qualifier and Enrichment
Pricing
Pay per usage
Lead Qualifier and Enrichment
Scrapes company websites, qualifies leads using AI, scores buying intent, and generates personalized outreach messages. Supports OpenAI and Anthropic.
Lead Qualifier and Enrichment
Pricing
Pay per usage
Scrapes company websites, qualifies leads using AI, scores buying intent, and generates personalized outreach messages. Supports OpenAI and Anthropic.
You can access the Lead Qualifier and Enrichment 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 = {9 "companyUrls": [10 "https://www.notion.so",11 "https://www.lemlist.com",12 ],13 "yourProductDescription": "We offer an AI-powered sales engagement platform that helps B2B SaaS companies automate personalized outreach, track prospect engagement, and close deals faster.",14 "idealCustomerProfile": "B2B SaaS companies with 50-500 employees that are in a growth phase, have a sales team of 5+, and are actively hiring for sales/marketing roles.",15 "maxResults": 2,16 "proxyConfiguration": { "useApifyProxy": True },17}18
19# Run the Actor and wait for it to finish20run = client.actor("magicfingers/lead-qualifier").call(run_input=run_input)21
22# Fetch and print Actor results from the run's dataset (if there are any)23print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])24for item in client.dataset(run["defaultDatasetId"]).iterate_items():25 print(item)26
27# 📚 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 Lead Qualifier and Enrichment API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: