Dataset MCP Uploader
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Pricing
Pay per usage
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Lukáš Křivka
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You can access the Dataset MCP 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 = { "query": "Tell me what are the latest posts by humansofny on Instagram, check last 10 of them and give me a summary of repeating topics. Use the apify/instagram-post-scraper. Then create a new Notion page and write the summary there and give me back the link to that page." }9
10# Run the Actor and wait for it to finish11run = client.actor("lukaskrivka/dataset-mcp-uploader").call(run_input=run_input)12
13# Fetch and print Actor results from the run's dataset (if there are any)14print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])15for item in client.dataset(run["defaultDatasetId"]).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 Dataset MCP Uploader API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: