Clean and deduplicate scraped sales leads automatically

Validates, cleans, and deduplicates scraped leads with AI before adding them to your spreadsheet.

How the work actually flows

It branches. Exactly one path is taken; runs once per one per scraped lead.

Pattern: Exclusive Choice (4) · Simple Merge (5) · Multiple Instances without Synchronization (12)

flowchart TD trig>"batch of scraped leads arrives"]:::trig s0[["correct lead data"]]:::mi s1["check for duplicate"]:::task s2["assign tracking id"]:::task s3[("add lead to spreadsheet")]:::store trig --> s0 s0 --> s1 s2 --> s3 gx{"× is lead already in sheet"}:::gate s1 --> gx p00["skip lead"]:::task gx -->|"duplicate found"| p00 p10["assign tracking id"]:::task gx -->|"new lead"| p10 p11["add to spreadsheet"]:::task p10 --> p11 jn{"○ summary report"}:::gate p00 --> jn p11 --> jn jn --> s2 out[/"clean deduplicated lead spreadsheet"/]:::out pay{{"sales team gets usable leads faster"}}:::pay s3 --> out out --> pay classDef task fill:#e7f6fe,stroke:#34b8f0,color:#2c2a29 classDef svc fill:#f6f8fa,stroke:#7c8795,color:#2c2a29 classDef mi fill:#e7f6fe,stroke:#0079a8,color:#2c2a29,stroke-width:2px classDef human fill:#fff,stroke:#0079a8,color:#0079a8 classDef store fill:#f6f8fa,stroke:#0079a8,color:#2c2a29 classDef trig fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigtime fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigdata fill:#8ad4f5,stroke:#0079a8,color:#06314c,font-weight:bold classDef gate fill:#fff,stroke:#e8a23d,color:#6b4708,font-weight:bold classDef out fill:#1f9d6b,stroke:#167a53,color:#fff,font-weight:bold classDef pay fill:#06314c,stroke:#021f33,color:#fff
Starts itA stepRuns once per itemA record or sheetOne path onlyPaths rejoinResultPayoff
Build size
Advanced

A larger build with multiple systems, AI reasoning, and custom rules.

Business functions
AI Agents & Autonomous SystemsMessaging & NotificationsSpreadsheet & Database Ops
Connects
ApifyGoogle GeminiGoogle SheetsTelegram

The problem it solves

Leads scraped in bulk are often messy: missing names, malformed data, or duplicates of contacts already in your sheet. Sorting through that by hand before your sales team can use it eats up time that should go toward actually reaching out.

Who it fits

Sales operations or growth teams who scrape leads at scale and need clean data before outreach.

How it works

  1. A batch of scraped leads comes in from your source
  2. AI checks each lead for missing or malformed fields and corrects them
  3. The system checks each email against your spreadsheet to skip duplicates
  4. Each new lead gets a unique tracking ID
  5. Your team gets a summary report and the cleaned leads land in your spreadsheet
What you get

Lead records cleaned and ready to verify

You get a cleaned, deduplicated batch of leads with a summary report ready to review before outreach.

What you get

A clean, deduplicated spreadsheet of leads with unique IDs, plus a summary report of the batch.

What you need

An Apify account for scraping, a Google Gemini account, a Google Workspace account, and a Telegram account for reports.

We can build this. But should you?

The hard question is not how to build it. It is whether this is the right thing to build first.

That is what a Fractional Chief AI Officer figures out with you, before anyone writes a line of code.

Let's Talk Strategy

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