Dataset Image Downloader & Uploader
Pricing
Pay per usage
Dataset Image Downloader & Uploader
Download image files from image URLs in your datasets and save them to a Zip file, Key-Value store, or directly your AWS S3 bucket.
0.0 (0)
Pricing
Pay per usage
18
Total users
792
Monthly users
111
Runs succeeded
>99%
Issues response
60 days
Last modified
4 months ago
You can access the Dataset Image Downloader & Uploader 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 = {9 "pathToImageUrls": "images",10 "fileNameFunction": "({url, md5}) => md5(url)",11 "uploadTo": "zip-file",12 "preDownloadFunction": """/* Example: We get rid of the items with price 013({ data }) => data.filter((item) => item.price > 0)14*/""",15 "postDownloadFunction": """/* Example: We remove items without any successfully uploaded images.16 We also remove any image URLs that were not uploaded17 18 ({ data, state }) => {19 return data.reduce((newData, item) => {20 const downloadedImages = item.images.filter((imageUrl) => {21 return state[imageUrl] && state[imageUrl].imageUploaded;22 });23 24 if (downloadedImages.length === 0) {25 return newData;26 }27 28 return newData.concat({ ...item, images: downloadedImages });29 }, []);30}31*/""",32 "imageCheckType": "content-type",33 "proxyConfiguration": { "useApifyProxy": True },34}35
36# Run the Actor and wait for it to finish37run = client.actor("lukaskrivka/images-download-upload").call(run_input=run_input)38
39# Fetch and print Actor results from the run's dataset (if there are any)40print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])41for item in client.dataset(run["defaultDatasetId"]).iterate_items():42 print(item)43
44# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startDataset Image Downloader & Uploader API in Python
The Apify API client for Python is the official library that allows you to use Dataset Image Downloader & Uploader API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include:
