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Export as JSON

data = client.export.json("tbl_abc123")
print(data)  # [{"product_name": "...", "price": 29.99}, ...]

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Export as CSV

csv_data = client.export.csv("tbl_abc123")

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Export as XLSX

client.export.xlsx("tbl_abc123", path="export.xlsx")

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Export images

Download all images from image columns as a ZIP: 
client.export.images("tbl_abc123", path="images.zip")

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Select specific columns

data = client.export.json("tbl_abc123", columns="product_name,price,image_url")

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Pandas integration

Load all rows as a pandas DataFrame for analysis: 
df = client.tables.results_as_dataframe("tbl_abc123")

expensive = df[df["price"] > 100]
df.to_csv("products.csv", index=False)

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Next steps

API Reference

Explore all available endpoints.

Webhooks

Get notified when extraction completes.

Learn: Schemas

Understand column types and schema design.

Learn: Enhancement

Deep dive into AI enhancement features.