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
Monthly users
87
Runs succeeded
>99%
Response time
11 days
Last modified
2 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.
1# Start Server-Sent Events (SSE) session and keep it running
2curl "https://actors-mcp-server.apify.actor/sse?token=<YOUR_API_TOKEN>&actors=lukaskrivka/images-download-upload"
3
4# Session id example output:
5# event: endpoint
6# data: /message?sessionId=9d820491-38d4-4c7d-bb6a-3b7dc542f1faUsing Dataset Image Downloader & Uploader via Model Context Protocol (MCP) server
MCP server lets you use Dataset Image Downloader & Uploader within your AI workflows. Send API requests to trigger actions and receive real-time results. Take the received sessionId and use it to communicate with the MCP server. The message starts the Dataset Image Downloader & Uploader Actor with the provided input.
1curl -X POST "https://actors-mcp-server.apify.actor/message?token=<YOUR_API_TOKEN>&session_id=<SESSION_ID>" -H "Content-Type: application/json" -d '{
2 "jsonrpc": "2.0",
3 "id": 1,
4 "method": "tools/call",
5 "params": {
6 "arguments": {
7 "pathToImageUrls": "images",
8 "fileNameFunction": "({url, md5}) => md5(url)",
9 "uploadTo": "zip-file",
10 "preDownloadFunction": "/* Example: We get rid of the items with price 0\\n({ data }) => data.filter((item) => item.price > 0)\\n*/",
11 "postDownloadFunction": "/* Example: We remove items without any successfully uploaded images.\\n We also remove any image URLs that were not uploaded\\n \\n ({ data, state }) => {\\n return data.reduce((newData, item) => {\\n const downloadedImages = item.images.filter((imageUrl) => {\\n return state[imageUrl] && state[imageUrl].imageUploaded;\\n });\\n \\n if (downloadedImages.length === 0) {\\n return newData;\\n }\\n \\n return newData.concat({ ...item, images: downloadedImages });\\n }, []);\\n}\\n*/",
12 "imageCheckType": "content-type",
13 "proxyConfiguration": {
14 "useApifyProxy": true
15 }
16},
17 "name": "lukaskrivka/images-download-upload"
18 }
19}'The response should be: Accepted. You should received response via SSE (JSON) as:
1event: message
2data: {
3 "result": {
4 "content": [
5 {
6 "type": "text",
7 "text": "ACTOR_RESPONSE"
8 }
9 ]
10 }
11}Configure local MCP Server via standard input/output for Dataset Image Downloader & Uploader
You can connect to the MCP Server using clients like ClaudeDesktop and LibreChat or build your own. The server can run both locally and remotely, giving you full flexibility. Set up the server in the client configuration as follows:
1{
2 "mcpServers": {
3 "actors-mcp-server": {
4 "command": "npx",
5 "args": [
6 "-y",
7 "@apify/actors-mcp-server",
8 "--actors",
9 "lukaskrivka/images-download-upload"
10 ],
11 "env": {
12 "APIFY_TOKEN": "<YOUR_API_TOKEN>"
13 }
14 }
15 }
16}You can further access the MCP client through the Tester MCP Client, a chat user interface to interact with the server.
To get started, check out the documentation and example clients. If you are interested in learning more about our MCP server, check out our blog post.
Pricing
Pricing model
Pay per usageThis Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage.
