We have carefully collected all of the companies that extract data from Spotify and can connect it to your database so you have more options to choose from.
We highly recommend to contact integration platforms to figure out what metrics they can extract. Sometimes integration platforms don't have certain metrics out of the box, so it's better to contact them.
Useful integrations
1
Add a new row to an existing table
(Google Big Query) when an artist posted a new album in Spotify
2
Add a new row to an existing table
(Google Big Query) when a new track is added to playlist in Spotify
3
Add a new row to an existing table
(Google Big Query) when a track is played in Spotify
4
Add a new row to an existing table
(Google Big Query) when a new track is saved in Spotify
5
Add a new row to an existing table
(Google Big Query) when an artist posted a new album in Spotify
6
Update a record in a table
(Google Big Query) when an artist posted a new album in Spotify
7
Update a record in a table
(Google Big Query) when a new track is added to playlist in Spotify
8
Update a record in a table
(Google Big Query) when a track is played in Spotify
9
Update a record in a table
(Google Big Query) when a new track is saved in Spotify
10
Update a record in a table
(Google Big Query) when an artist posted a new album in Spotify
11
Create a table
(Google Big Query) when an artist posted a new album in Spotify
12
Create a table
(Google Big Query) when a new track is added to playlist in Spotify
13
Create a table
(Google Big Query) when a track is played in Spotify
14
Create a table
(Google Big Query) when a new track is saved in Spotify
15
Create a table
(Google Big Query) when an artist posted a new album in Spotify
More integrations
More integrations to Google Big Query
Like spreadsheets, but a lot more powerful. BigQuery is a tool that lets you query massive datasets instantly and get results in seconds or milliseconds.
Your BigQuery data can be integrated with other information. Find out what you can connect to your data warehouse.