Documentation Index
Fetch the complete documentation index at: https://productlasso.com/docs/llms.txt
Use this file to discover all available pages before exploring further.
Once your table is complete, you can export the data in several formats.
| Format | Description | Use case |
|---|
| JSON | Array of row objects | Programmatic processing, API integrations |
| CSV | Semicolon-delimited file | Spreadsheet import, data analysis |
| XLSX | Excel spreadsheet | Business users, reporting |
| Images | ZIP archive of all images | Asset management, media libraries |
Exporting via SDK
// JSON -- returns data directly
const data = await client.export.json("tbl_abc123");
// CSV -- returns raw CSV string
const csv = await client.export.csv("tbl_abc123");
// XLSX -- returns binary buffer
const xlsx = await client.export.xlsx("tbl_abc123");
// Images -- returns ZIP buffer
const images = await client.export.images("tbl_abc123");
Selecting columns
By default, all columns are exported. To export only specific columns, pass a comma-separated list of column keys:
const data = await client.export.json("tbl_abc123", {
columns: "product_name,price,image_url",
});
Pandas integration (Python)
The Python SDK includes a helper to load all rows as a pandas DataFrame:
df = client.tables.results_as_dataframe("tbl_abc123")
# Filter, analyze, or export further
expensive = df[df["price"] > 100]
df.to_csv("products.csv", index=False)
