XMLs To Dataset
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XMLs To Dataset
mtrunkat/xmls-to-dataset
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Go to actor anytime you need to download XML files and store them in the dataset.
You can access the XMLs To Dataset 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 "sources": [
10 { "url": "https://www.w3schools.com/xml/plant_catalog.xml" },
11 { "url": "https://www.w3schools.com/xml/cd_catalog.xml" },
12 ],
13 "proxy": { "useApifyProxy": True },
14}
15
16# Run the Actor and wait for it to finish
17run = client.actor("mtrunkat/xmls-to-dataset").call(run_input=run_input)
18
19# Fetch and print Actor results from the run's dataset (if there are any)
20print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
21for item in client.dataset(run["defaultDatasetId"]).iterate_items():
22 print(item)
23
24# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startXMLs To Dataset API in Python
The Apify API client for Python is the official library that allows you to use XMLs To Dataset API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
pip install apify-clientOther API clients include:
Developer
Marek TrunkátMaintained by Community
Actor Metrics
5 monthly users
-
5 stars
>99% runs succeeded
Created in Feb 2018
Modified 2 years ago
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