
LLM Dataset Processor
Pricing
Pay per usage

LLM Dataset Processor
Allows you to process output of other actors or stored dataset with single LLM prompt. It's useful if you need to enrich data, summarize content, extract specific information, or manipulate data in a structured way using AI.
0.0 (0)
Pricing
Pay per usage
2
Total users
29
Monthly users
14
Runs succeeded
50%
Issues response
2.6 days
Last modified
3 months ago
You can access the LLM Dataset Processor 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.
1from apify_client import ApifyClient2
3# Initialize the ApifyClient with your Apify API token4# Replace '<YOUR_API_TOKEN>' with your token.5client = ApifyClient("<YOUR_API_TOKEN>")6
7# Prepare the Actor input8run_input = { "prompt": "Summarize this text: ${text}" }9
10# Run the Actor and wait for it to finish11run = client.actor("dusan.vystrcil/llm-dataset-processor").call(run_input=run_input)12
13# Fetch and print Actor results from the run's dataset (if there are any)14print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])15for item in client.dataset(run["defaultDatasetId"]).iterate_items():16 print(item)17
18# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start
LLM Dataset Processor API in Python
The Apify API client for Python is the official library that allows you to use LLM Dataset Processor API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-client
Other API clients include: