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Data Engineering2026

YouTube Creator Contact Extraction

200-300 verified creator emails a day

Creator outreach kept stalling at the same point. Building a target list of channels takes an afternoon. Reaching the people behind them does not, because the address most creators actually read is the one YouTube holds back behind a button that expects a human.

A single white envelope on the ground beside a notched white wheel feeding envelopes from a belt into an orange tray where several stand upright in a row
PythonPlaywrightPostgreSQL

200-300

Verified creator emails per day

The challenge

Two problems arriving together. The gated address is released slowly by design, so throughput has a real ceiling that no amount of engineering removes and that has to be planned around rather than promised away. Meanwhile the off-the-shelf answer bills per row attempted, so every channel that returns nothing still costs money, and the true price per usable address only becomes visible after the invoice.

Our approach

  1. 1

    Separated the two sources of creator email, the address published in a description and the address held behind the button, and labelled every record with which one it came from. They are not worth the same and should not be priced the same.

  2. 2

    Built collection as a queue with a stated daily ceiling, so the delivery schedule for a campaign is known before it starts instead of discovered halfway through.

  3. 3

    Verified each address after extraction, so what ships is a mailbox that accepts mail rather than a string that looks like one.

  4. 4

    Ran it as a monitored job with a full run history: what was attempted, what returned an address, what failed and why.

The outcome

  • Between 200 and 300 verified creator addresses a day, with the ceiling stated before a campaign is scheduled.

  • Rows that return nothing show up in the run history rather than on an invoice.

  • Outreach timelines are now set from the throughput ceiling, so campaign schedules stop slipping in week two.

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