Building The Exact Adobe, Vecteezy And Dreamstime Metadata CSVs With One Python Script

Описание и применение

Автоматизация создания CSV‑метаданных для Adobe Stock, Vecteezy и Dreamstime с помощью одного скрипта Python устраняет ошибки заголовков и дублирование загрузок.

Задача

Hand‑building CSV headers for multiple stock platforms caused repeated upload failures and duplicate submissions.

Результат

Automated metadata generation reduced batch failures from header errors, eliminated duplicate uploads, and saved time on large asset collections.

Рабочий процесс

• 1. Place assets in a fixed folder structure.
• 2. Run python make_metadata.py ./my-assets --platform <platform> --out <csv> for each platform.
• 3. Use upload_tracker.py to log completed uploads and avoid duplicates.
• 4. Verify CSVs before uploading to the respective stock sites.

Доказательства

Adobe's uploader checks the column names before it looks at a single file, and I had the columns in the wrong order.

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Vecteezy rejected the same batch for a different reason: I had exported five columns when their importer expects four.

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Their upload CSV is fifteen columns. Nobody builds that by hand twice.

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The script reads a folder, walks the files matching your extension, and writes the exact header each platform expects, nothing else.

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The part I am most satisfied with: make_metadata.py needs no pip install at all.

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