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.
1import { ApifyClient } from 'apify-client';2
3// Initialize the ApifyClient with your Apify API token4// Replace the '<YOUR_API_TOKEN>' with your token5const client = new ApifyClient({6 token: '<YOUR_API_TOKEN>',7});8
9// Prepare Actor input10const input = {11 "prompt": "Summarize this text: ${text}"12};13
14// Run the Actor and wait for it to finish15const run = await client.actor("dusan.vystrcil/llm-dataset-processor").call(input);16
17// Fetch and print Actor results from the run's dataset (if any)18console.log('Results from dataset');19console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);20const { items } = await client.dataset(run.defaultDatasetId).listItems();21items.forEach((item) => {22 console.dir(item);23});24
25// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docsLLM Dataset Processor API in JavaScript
The Apify API client for JavaScript is the official library that allows you to use LLM Dataset Processor API in JavaScript or TypeScript, providing convenience functions and automatic retries on errors.
Install the apify-client
$npm install apify-clientOther API clients include:
