A Make workflow that uses Apify. NexGenData has no official Make app — you chain public-data Apify actors inside Make through Make’s official Apify integration, with your own Apify token.
The problem: lead lists arrive dirty and get worse over time
New leads land from forms, events, and exports full of duplicates, malformed emails, role addresses, and inconsistent company names. Sequencing that as-is wastes sends and hurts deliverability. A Make scenario cleans, verifies, and enriches every new batch automatically before it reaches your CRM or sequencer.
Who this is for
RevOps, growth, and outbound teams who want list hygiene to run as a background job, not a manual chore.
The Make workflow
- Schedule trigger — run on a schedule, or trigger on a new file/webhook of incoming leads.
- Run an Actor (chain) — Apify “Run an Actor” for B2B Lead List Cleaner (dedupe/normalize/MX) → Email Verification (SMTP, disposable, role) → Company Enrichment (firmographics, tech stack).
- Get Dataset Items — pull each actor’s structured output.
- Filter / format — derive a verdict (deliverable / review / reject); drop rejects.
- Send to destination — Google Sheets, Airtable, or a webhook into your CRM/sequencer.
Sample input (raw list)
| company | domain | |
|---|---|---|
| JOHN.SMITH@acmerobotics.com | Acme Robotics Inc | www.acmerobotics.com |
| wchen@@globex.co | Globex | globex.co |
| sarah.lee@disposablemail.test | Initech | initech.com |
Sample output (cleaned + enriched)
| company | mx | deliverable | industry | verdict | |
|---|---|---|---|---|---|
| john.smith@acmerobotics.com | Acme Robotics | yes | yes | Industrial Automation | deliverable |
| wchen@globex.co | Globex | yes | yes | Telecommunications | deliverable |
| sarah.lee@disposablemail.test | Initech | no | unknown | — | reject (disposable) |
Illustrative sample.
Run it on a schedule
Point the scenario at a recurring source and every new lead is deduped, verified, and enriched before a rep ever sees it — clean data with zero manual steps.
Try it
Run the B2B Lead List Cleaner →
Email Verification → · Company Enrichment →
Browse more: Lead Generation & Enrichment cluster
More Make workflows
FAQ
Can I chain all three actors in one scenario? Yes — run them in sequence in a single Make scenario and map each output to the next.
Is this an official Make app? No — it’s a Make workflow using Make’s official Apify integration with your own Apify token.
What about catch-all domains? They return “risky/catch-all” rather than a guaranteed inbox, by design.