S3 Bucket Uploader
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S3 Bucket Uploader
No credit card required
Upload the items from the default dataset of an actor's run to an S3 bucket in JSON format.
You can access the S3 Bucket Uploader programmatically from your own Python 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 ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = {
9 "pathName": "{actorName}/runs/{date}",
10 "fileName": "{runId}-{incrementor}",
11}
12
13# Run the Actor and wait for it to finish
14run = client.actor("mstephen190/s3-bucket-uploader").call(run_input=run_input)
15
16# Fetch and print Actor results from the run's dataset (if there are any)
17print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
18for item in client.dataset(run["defaultDatasetId"]).iterate_items():
19 print(item)
20
21# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startS3 Bucket Uploader API in Python
The Apify API client for Python is the official library that allows you to use S3 Bucket Uploader API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
pip install apify-clientOther API clients include:
Matthias StephensActor Metrics
6 monthly users
-
2 stars
>99% runs succeeded
Created in May 2022
Modified a year ago
