Skip to content
Go to file


Failed to load latest commit information.
Latest commit message
Commit time

Build Status is a Python API for accessing music charts from


To install with pip, run

pip install

You can also clone this repository and run python install.


To download a Billboard chart, we use the ChartData() constructor.

Let's fetch the current Hot 100 chart.

>>> import billboard
>>> chart = billboard.ChartData('hot-100')
>>> chart.title
'The Hot 100'

Now we can look at the chart entries, which are of type ChartEntry and have attributes like artist and title:

>>> song = chart[0]  # Get no. 1 song on chart
>>> song.title
'Nice For What'
>>> song.artist
>>> song.weeks  # Number of weeks on chart

We can also print the entire chart:

>>> print(chart)
hot-100 chart from 2018-04-28
1. 'Nice For What' by Drake
2. 'God's Plan' by Drake
3. 'Meant To Be' by Bebe Rexha & Florida Georgia Line
4. 'Psycho' by Post Malone Featuring Ty Dolla $ign
5. 'The Middle' by Zedd, Maren Morris & Grey
# ...


Listing all charts

Use the charts function to list all chart names:

>>> billboard.charts()
['hot-100', 'billboard-200', 'artist-100', 'social-50', ...

Alternatively, the bottom of this page shows all charts grouped by category.

Downloading a chart

Use the ChartData constructor to download a chart:

ChartData(name, date=None, fetch=True, timeout=25)

The arguments are:

  • name – The chart name, e.g. 'hot-100' or 'pop-songs'.
  • date – The chart date as a string, in YYYY-MM-DD format. By default, the latest chart is fetched.
  • fetch – A boolean indicating whether to fetch the chart data from immediately (at instantiation time). If False, the chart data can be populated at a later time using the fetchEntries() method.
  • max_retries – The max number of times to retry when requesting data (default: 5).
  • timeout – The number of seconds to wait for a server response. If None, no timeout is applied.

Walking through chart dates

Every ChartData instance has a previousDate attribute containing a string representation of the previous chart's date. You can feed this into another ChartData instance to effectively walk back through previous charts.

chart = billboard.ChartData('hot-100')
while chart.previousDate:
    chart = billboard.ChartData('hot-100', chart.previousDate)

Accessing chart entries

If chart is a ChartData instance, we can ask for its entries attribute to get the chart entries (see below) as a list.

For convenience, chart[x] is equivalent to chart.entries[x], and ChartData instances are iterable.

Chart entry attributes

A chart entry (typically a single track) is of type ChartEntry. A ChartEntry instance has the following attributes:

  • title – The title of the track.
  • artist – The name of the artist, as formatted on
  • image – The URL of the image for the track.
  • peakPos – The track's peak position on the chart as of the chart date, as an int (or None if the chart does not include this information).
  • lastPos – The track's position on the previous week's chart, as an int (or None if the chart does not include this information). This value is 0 if the track was not on the previous week's chart.
  • weeks – The number of weeks the track has been or was on the chart, including future dates (up until the present time).
  • rank – The track's current position on the chart.
  • isNew – Whether the track is new to the chart.

More resources

For additional documentation, look at the file, or use Python's interactive help feature.

Think you found a bug? Create an issue here.


Pull requests are welcome! Please adhere to the following style guidelines:

  • We use Black for formatting.
    • If you have pre-commit installed, run pre-commit install to install a pre-commit hook that runs Black.
  • Variable names should be in mixedCase.

Running tests

We use Travis CI to automatically run our test suite on all PRs.

To run the test suite locally, install nose and run


To run the test suite locally on both Python 2.7 and 3.4, install tox and run


Made with

Projects and articles that use

Have an addition? Make a pull request!



  • This project is licensed under the MIT License.
  • The Billboard charts are owned by Prometheus Global Media LLC. See's Terms of Use for more information.
You can’t perform that action at this time.