JSONL Toolkit
Pricing
from $0.05 / 1,000 jsonl records
Clean, validate, deduplicate, and PII-redact JSONL/NDJSON datasets for LLM fine-tuning, batch APIs, and RAG pipelines. Reports data-quality issues and estimates token counts.
You can access the JSONL Toolkit 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 API & Integrations 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 = { "raw_text": """{\"user\": {\"email\": \"lin@example.com\", \"name\": \"Lin\"}, \"score\": 42}9{\"user\": {\"email\": \"lin@example.com\", \"name\": \"Lin\"}, \"score\": 42}10{\"user\": {\"name\": \"Wu\"}, \"score\": \"high\",}""" }11
12# Run the Actor and wait for it to finish13run = client.actor("flyerlin/jsonl-toolkit").call(run_input=run_input)14
15# Fetch and print Actor results from the run's dataset (if there are any)16print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")17for item in client.dataset(run.default_dataset_id).iterate_items():18 print(item)19
20# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startThe Apify API client for Python is the official library that allows you to use JSONL Toolkit API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: