CSV File to Dataset
Pricing
Pay per usage
Upload a local or remote CSV/text file and convert it to Apify Dataset for further use.
Pricing
Pay per usage
Rating
0.0
(0)
Developer
Lukáš Křivka
Maintained by CommunityActor stats
11
Bookmarked
191
Total users
3
Monthly active users
7 months ago
Last modified
Categories
Security
Limited permissionsShare
You can access the CSV File to Dataset 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.
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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 = {}9
10# Run the Actor and wait for it to finish11run = client.actor("lukaskrivka/csv-file-to-dataset").call(run_input=run_input)12
13# Fetch and print Actor results from the run's dataset (if there are any)14print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")15for item in client.dataset(run.default_dataset_id).iterate_items():16 print(item)17
18# 📚 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 CSV File to Dataset API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: