Pricing

Pay per event

Multi-Source Lead Enrichment

Enrich business leads with normalized company data, contact scoring, industry classification, seniority detection, email validation, and smart deduplication. Accepts leads as JSON from any source — CRM exports, scrapers, spreadsheets, or APIs. No scraping or external API calls.

Pricing

Pay per event

Rating

0.0

(0)

Developer

Stas Persiianenko

Actor stats

Bookmarked

Total users

Monthly active users

2 days ago

Last modified

Categories

Lead generation

You can access the Multi-Source Lead 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.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = {
9    "leads": [
10        {
11            "companyName": "Stripe",
12            "domain": "stripe.com",
13            "contactName": "Jane Smith",
14            "contactTitle": "VP of Engineering",
15            "email": "jane@stripe.com",
16            "phone": "+1-555-0123",
17            "location": "San Francisco, CA",
18            "source": "LinkedIn",
19        },
20        {
21            "companyName": "Notion",
22            "domain": "notion.so",
23            "contactName": "John Doe",
24            "contactTitle": "Product Manager",
25            "location": "New York, NY",
26            "source": "Conference",
27        },
28        {
29            "companyName": "Datadog",
30            "domain": "datadoghq.com",
31            "email": "sales@datadoghq.com",
32            "source": "Website",
33        },
34    ],
35    "maxLeads": 20,
36}
37
38# Run the Actor and wait for it to finish
39run = client.actor("automation-lab/multi-source-lead-enrichment").call(run_input=run_input)
40
41# Fetch and print Actor results from the run's dataset (if there are any)
42print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
43for item in client.dataset(run["defaultDatasetId"]).iterate_items():
44    print(item)
45
46# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Lead Enrichment: Score, Deduplicate & Classify API in Python

The Apify API client for Python is the official library that allows you to use Multi-Source Lead Enrichment API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

Other API clients include:

Multi-Source Lead Enrichment API in JavaScript

Multi-Source Lead Enrichment API through CLI

Multi-Source Lead Enrichment OpenAPI definition

Multi-Source Lead Enrichment API

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DRG Phantom Core - Genesis Pilot

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A stealth-grade autonomous lead intelligence engine that discovers, enriches, analyzes, and qualifies B2B prospects using multi-source scraping and AI scoring. This pilot release showcases the system’s core capabilities and foundational architecture.

Țugui Dragoș

3.9

(4)

⭐ Leads Finder - $1.5/1k leads with Emails ✅ like Apollo

amr-mando/lead-finder

$1.5/1000 - REAL Emails & Linkedin & way more... ✅ Similar to Apollo, Zoominfo, Lusha, Crunchbase (Please read supported countries & limits in information section) ⭐ Kindly leave us a review🙏🙏🙏⭐