Dataset Processor in Python
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Jakub Drobník
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Pricing
Pay per usage
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Pay per usage
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Developer

Jakub Drobník
Actor stats
2
Bookmarked
39
Total users
4
Monthly active users
2 years ago
Last modified
Categories
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You can access the Dataset Processor in Python programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
$echo '{< "dataset": "test-dataset",< "rowFnc": "def process_row(row):\\n row[\\"process\\"] = True\\n print(f'\''Row was procesed {row}'\'')\\n return row\\n"<}' |<apify call drobnikj/dataset-processor-python --silent --output-datasetThe Apify CLI is the official tool that allows you to use Dataset Processor in Python locally, providing convenience functions and automatic retries on errors.
Using installation script (macOS/Linux):
$curl -fsSL https://apify.com/install-cli.sh | bashUsing installation script (Windows):
$irm https://apify.com/install-cli.ps1 | iexUsing Homebrew:
$brew install apify-cliUsing NPM:
$npm install -g apify-cliOther API clients include: