emails() - Jmail Data API

client.emails(slim=False) -> pd.DataFrame

Download the email archive as a pandas DataFrame.

Parameters

bool

default:"False"

When True, returns a smaller dataset without body text columns (content_markdown, content_html). Ideal for network analysis, sender/recipient graphs, and timeline visualizations.

Returns

pd.DataFrame with columns depending on the slim parameter.

Example

from jmail import JmailClient

client = JmailClient()

# Full dataset with body text
df = client.emails()

# Slim: no body text, much smaller download
df = client.emails(slim=True)

# Filter to Epstein-sent emails
sent = df[df.epstein_is_sender == True]
print(f"Epstein sent {len(sent)} emails")

Columns (slim)

Column	Type	Description
`id`	int	Unique email ID
`doc_id`	string	Thread grouping ID
`sender`	string	Sender email/name
`subject`	string	Email subject line
`to_recipients`	json	To recipients
`cc_recipients`	json	CC recipients
`bcc_recipients`	json	BCC recipients
`sent_at`	timestamp	Send date
`account_email`	string	Source account
`email_drop_id`	string	Source identifier
`epstein_is_sender`	bool	Whether Epstein sent this email

Additional Columns (full)

Column	Type	Description
`content_markdown`	string	Email body as Markdown
`content_html`	string	Email body as HTML
`attachments`	int	Number of attachments

Direct URLs

https://data.jmail.world/v1/emails.parquet
https://data.jmail.world/v1/emails-slim.parquet
https://data.jmail.world/v1/emails.ndjson.gz
https://data.jmail.world/v1/emails-slim.ndjson.gz

​Parameters

​Returns

​Example

​Columns (slim)

​Additional Columns (full)

​Direct URLs