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YouTube Trends Sitemap Scraper

Pricing

$5.00/month + usage

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YouTube Trends Sitemap Scraper

YouTube Trends Sitemap Scraper

Developed by

Nova Integrations

Nova Integrations

Maintained by Community

targets YouTube’s official Trends sitemap index (/trends/sitemap.xml), discovers each dated sub‑sitemap (daily, weekly), and extracts the individual trend‑page URLs. You can configure the number of URLs to collect, making it easy to integrate fresh YouTube Insights into your workflows.

0.0 (0)

Pricing

$5.00/month + usage

0

Total users

1

Monthly users

1

Runs succeeded

0%

Last modified

a day ago

You can access the YouTube Trends Sitemap Scraper 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 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
10# Run the Actor and wait for it to finish
11run = client.actor("sambehnke/youtube-trends-sitemap-scraper").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-start

YouTube Trends Sitemap Scraper API in Python

The Apify API client for Python is the official library that allows you to use YouTube Trends Sitemap Scraper API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

Other API clients include: