Billboard Charts History Scraper
Pricing
Pay per event
Scrape historical Billboard chart data — Hot 100, Billboard 200, Artist 100, genre charts, and more. Walk any date range by chart to get rank, title, artist, last week position, peak, and weeks on chart.
Pricing
Pay per event
Rating
0.0
(0)
Developer
BowTiedRaccoon
Maintained by CommunityActor stats
0
Bookmarked
2
Total users
1
Monthly active users
2 days ago
Last modified
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You can access the Billboard Charts History 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 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 "sp_intended_usage": "Describe your intended use...",10 "sp_improvement_suggestions": "Share your suggestions here...",11 "sp_contact": "Share your email here...",12 "charts": [13 "hot-100",14 "billboard-200",15 ],16 "startDate": "",17 "endDate": "",18 "maxItems": 10,19}20
21# Run the Actor and wait for it to finish22run = client.actor("jungle_synthesizer/billboard-charts-history-scraper").call(run_input=run_input)23
24# Fetch and print Actor results from the run's dataset (if there are any)25print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])26for item in client.dataset(run["defaultDatasetId"]).iterate_items():27 print(item)28
29# 📚 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 Billboard Charts History Scraper API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: