CSV Lead Processor — Clean, Dedupe & Normalize Lead Lists
Pricing
from $50.00 / 1,000 lead processeds
Cleans and enriches Apollo, LinkedIn, and ZoomInfo CSV exports. Maps columns to a standard format, finds missing emails via website scraping and pattern detection, verifies deliverability, and exports a CRM-ready CSV. $0.05/lead.
You can access the CSV Lead Processor — Clean, Dedupe & Normalize Lead Lists 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 = { "columnMapping": {9 "Company": "companyName",10 "Website": "website",11 "First Name": "firstName",12 "Last Name": "lastName",13 "Email": "email",14 "Phone": "phone",15 "Job Title": "title",16 "Industry": "industry",17 "Employees": "employeeCount",18 "Country": "country",19 } }20
21# Run the Actor and wait for it to finish22run = client.actor("ryanclinton/csv-lead-processor").call(run_input=run_input)23
24# Fetch and print Actor results from the run's dataset (if there are any)25print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])26for item in client.dataset(run["defaultDatasetId"]).iterate_items():27 print(item)28
29# 📚 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 CSV Lead Processor — Clean, Dedupe & Normalize Lead Lists API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: