Adobe, Vecteezy, Dreamstime: Building Exact Upload CSVs From a Folder With Bare Python

Описание и применение

Скрипт на Python генерирует корректные CSV‑файлы для Adobe Stock, Vecteezy и Dreamstime, устраняя ошибки ручного ввода и ускоряя процесс подготовки цифровых активов.

Задача

Hand‑building CSVs for multiple stock platforms caused errors and wasted time.

Результат

The script pipeline produces correctly formatted CSVs for all three platforms, reduces upload errors, and streamlines the asset preparation process.

Рабочий процесс

• 1. Create a folder with asset files (e.g., JPEGs).
• 2. Run python make_metadata.py ./my-assets --platform adobe --out metadata.csv --ext .jpg to generate Adobe CSV.
• 3. Run python make_metadata.py ./my-assets --platform vecteezy --out vecteezy.csv --ext .jpg to generate Vecteezy CSV.
• 4. Run python make_metadata.py ./my-assets --platform dreamstime --out dreamstime.csv --ext .jpg to generate Dreamstime CSV.
• 5. Optionally use upload_tracker.py to track pending/done files and avoid double‑posting.

Доказательства

Adobe Stock wants a 5-column CSV: Filename, Title, Keywords, Category, Releases.

Источник

Vecteezy wants 4 columns: file, title, keywords, category.

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Dreamstime is the painful one at 15 columns.

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The mistake I see other makers make is maintaining three spreadsheets by hand.

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