Dataset Processor in Python
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Dataset Processor in Python
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This actor utilizes Python to process the dataset.
You can access the Dataset Processor in Python programmatically from your own applications by using the Apify API. You can 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.
1# Set API token
2API_TOKEN=<YOUR_API_TOKEN>
3
4# Prepare Actor input
5cat > input.json << 'EOF'
6{
7 "dataset": "test-dataset",
8 "rowFnc": "def process_row(row):\n row[\"process\"] = True\n print(f'Row was procesed {row}')\n return row\n"
9}
10EOF
11
12# Run the Actor using an HTTP API
13# See the full API reference at https://docs.apify.com/api/v2
14curl "https://api.apify.com/v2/acts/drobnikj~dataset-processor-python/runs?token=$API_TOKEN" \
15 -X POST \
16 -d @input.json \
17 -H 'Content-Type: application/json'Dataset Processor in Python API
Below, you can find a list of relevant HTTP API endpoints for calling the Dataset Processor in Python Actor. For this, you’ll need an Apify account. Replace <YOUR_API_TOKEN> in the URLs with your Apify API token, which you can find under Integrations in Apify Console. For details, see the API reference .
Run Actor
https://api.apify.com/v2/acts/drobnikj~dataset-processor-python/runs?token=<YOUR_API_TOKEN>Note: By adding the method=POST query parameter, this API endpoint can be called using a GET request and thus used in third-party webhooks. Please refer to our Run Actor API documentation .
Run Actor synchronously and get dataset items
https://api.apify.com/v2/acts/drobnikj~dataset-processor-python/run-sync-get-dataset-items?token=<YOUR_API_TOKEN>Note: This endpoint supports both POST and GET request methods. However, only the POST method allows you to pass input data. For more information, please refer to our Run Actor synchronously and get dataset items API documentation .
Get Actor
https://api.apify.com/v2/acts/drobnikj~dataset-processor-python?token=<YOUR_API_TOKEN>For more information, please refer to our Get Actor API documentation .
Actors can be used to scrape web pages, extract data, or automate browser tasks. Use the Dataset Processor in Python API programmatically via the Apify API.
You can choose from:
You can start Dataset Processor in Python with the Apify API by sending an HTTP POST request to the Run Actor endpoint. An Actor’s input and its content type can be passed as a payload of the POST request, and additional options can be specified using URL query parameters. The Dataset Processor in Python is identified within the API by its ID, which is the creator’s username and the name of the Actor.
When the Dataset Processor in Python run finishes you can list the data from its default dataset (storage) via the API or you can preview the data directly on Apify Console .
Jakub DrobníkActor Metrics
3 monthly users
-
2 stars
97% runs succeeded
Created in Jan 2023
Modified a year ago
