🎵 Billboard Charts Scraper - Hot 100 & Chart History - PunkRecordsData

🚀 Export Billboard charts as data in seconds. The Hot 100, Billboard 200, Global 200 and 12 more charts, for the current week or any historical week back to 1958, as structured rows: rank, title, artist, last week, peak position, weeks on chart, new-entry and re-entry flags, plus cover art. The June 13, 2020 Hot 100 comes back with Rockstar at #1 (up from #3, week 7). Export to CSV, Excel, JSON or XML.

The Billboard Charts Scraper turns the industry's reference music rankings into datasets. Pick charts and week dates and every position becomes a row; an optional summary row per chart week adds the #1, entry counts and re-entries for fast trend tables.

🎯 Target Audience	💡 Primary Use Cases
Music industry analysts and labels	Chart performance tracking across weeks and markets
Journalists and playlist curators	Instant historical chart tables for stories
Data scientists	65+ years of Hot 100 history as tidy panel data
Marketing teams	Sync campaigns to chart movements automatically

📋 What the Billboard Charts Scraper does

• Chart entries: rank, title, artist, last-week position, peak, weeks on chart, NEW and RE-ENTRY flags and the cover image, for every position you request (top-10 to full chart).
• 15 charts: Hot 100, Billboard 200, Artist 100, Global 200, Global excl. US, Streaming, Radio, Digital Sales, Country, R&B/Hip-Hop, Rock, Pop Airplay, Latin, Dance/Electronic and Christian.
• Any week since 1958: pass dates (YYYY-MM-DD) and each resolves to its Billboard week.
• Chart-week summaries (optional): #1 title/artist, total entries, new entries and re-entries per chart week.

💡 Why it matters: chart positions drive playlisting, booking and marketing decisions, but the site shows one week at a time. Here a decade of Hot 100 history is one input list.

📊 Output of the Billboard chart search

Real sample from a live run:

{
  "recordType": "chart-entry",
  "imageUrl": "https://charts-static.billboard.com/img/2020/04/dababy-xbz-rockstar-w4d-180x180.jpg",
  "chart": "hot-100",
  "chartDate": "2020-06-13",
  "rank": 1,
  "title": "Rockstar",
  "artist": "DaBaby Featuring Roddy Ricch",
  "lastWeek": 3,
  "peakPosition": 1,
  "weeksOnChart": 7,
  "isNew": "No",
  "isReEntry": "No",
  "error": null
}

✨ Why choose this Billboard scraper

• 15 charts and full history through one input, not one actor per chart.
• Movement fields included (last week, peak, weeks, new/re-entry), verified against known historical weeks.
• Cover art as an image column, presentation-ready.
• Chart-week summary rows for instant week-over-week trend tables, a separate switchable event.
• Position cap control: pay for a top-10 sweep, not 100 rows you don't need.

📈 How this Billboard scraper compares to alternatives

Measured against the Billboard actors on the Apify Store (September 2026):

	This actor	Closest alternative
Billable data events	2 (entries + week summaries)	1
Charts covered	15	Fewer, often Hot 100 only
Historical weeks	Back to 1958 by date list	Varies
Movement stats verified	Yes (LW/peak/weeks)	Partial
Price per 1,000 entries	$1.20	$1.00

🚀 How to use the Billboard Charts Scraper

1. Create a free Apify account (with $5 of credit) at console.apify.com.
2. Open this actor's page and click Try for free.
3. Pick charts, add week dates (or leave empty for the current week), set positions per chart.
4. Click Start and download CSV, Excel, JSON or XML.

💼 Business use cases

A&R and label analytics

Track your roster's chart runs across all 15 charts weekly, with peaks and week counts as columns.

Music journalism

"Every #1 of the 1990s" is a list of 520 dates in the input, one run, one table.

Playlist and radio strategy

Movement flags (new, re-entry, climbing) as data for programming decisions.

Longitudinal research

Decades of chart panel data for genre and industry studies.

🔌 Automating the Billboard Charts Scraper

Connect to Make, Zapier, Slack, Airbyte, GitHub or Google Drive: a Tuesday chart-refresh schedule, #1-change alerts to Slack, or warehouse syncs of the full history.

🌟 Beyond business use cases

• Research: music-industry studies with reproducible chart panels.
• Personal: your favorite artist's complete chart history.
• Non-profit: music-history archives and educational datasets.
• Experimentation: clean data for viz portfolios (chart race videos love this).

🤖 Ask an AI assistant about this scraper

"I need the Billboard Hot 100 for every week of 2023 with rank, artist, peak and weeks-on-chart as CSV. Would the Billboard Charts Scraper on Apify (apify.com/punkrecordsdata/billboard-charts-scraper) handle it?"

❓ Frequently Asked Questions

🎵 How do I export the Billboard Hot 100 to CSV or Excel?

Select hot-100, click Start, and download from the Storage tab. Add week dates for history.

📅 How far back can I go?

The Hot 100 reaches back to its first week, August 4, 1958; other charts to their own launch dates.

📊 Which charts are included?

15: Hot 100, Billboard 200, Artist 100, both Global charts, Streaming, Radio, Digital Sales and seven genre charts.

🔢 Can I get just the top 10?

Yes, set positions per chart to 10 and each week bills only 10 entries.

🆕 How are debuts and re-entries marked?

isNew and isReEntry flags per row, with lastWeek shown as N/A for them.

🖼 Does it include cover art?

Yes, the image URL per entry renders as a thumbnail column in the dataset view.

💵 What does the summary row add?

Per chart week: the #1 title/artist, total entries, debut count and re-entry count, billed as its own small event.

📦 How many rows can one run return?

Up to 1,000,000 on paid plans (a full year of Hot 100 is 5,200 rows). Free users get a 10-row preview.

⚙️ Does it need an API key?

No. It reads the public chart pages politely with built-in pacing.

🕒 When do new charts appear?

Billboard publishes new charts on Tuesdays; schedule the actor Tuesday evening for the freshest week.

📆 What if my date is not a chart Saturday?

Nearby dates resolve to that week's chart automatically, exactly like the site does.

🔌 Integrate with any app

Datasets are available via the Apify API in JSON, CSV, Excel or XML, with webhooks on completion, ready for Python, Sheets or BI tools.

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💡 Pro Tip: browse the complete PunkRecordsData collection for more data tools.

🆘 Need Help? contact.punkrecordsdata@gmail.com

⚠️ Disclaimer: independent tool, not affiliated with Billboard; only publicly available data.