Returns
pd.DataFrame with photo metadata.
Documentation Index
Fetch the complete documentation index at: /docs/llms.txt
Use this file to discover all available pages before exploring further.
Download photo metadata
client.photos() -> pd.DataFrame
pd.DataFrame with photo metadata.
from jmail import JmailClient
client = JmailClient()
photos = client.photos()
# Photos with descriptions mentioning "pool"
pool = photos[photos.image_description.str.contains("pool", case=False, na=False)]
| Column | Type | Description |
|---|---|---|
id | int | Unique photo ID |
source | string | Source identifier |
release_batch | string | Volume/batch |
original_filename | string | Original filename |
content_type | string | MIME type |
width | int | Image width in pixels |
height | int | Image height in pixels |
image_description | string | AI-generated description |
https://data.jmail.world/v1/photos.parquet
https://data.jmail.world/v1/photos.ndjson.gz
