?>

Integrate MySQL with strava

Appy Pie Connect allows you to automate multiple workflows between MySQL and strava

  • No code
  • No Credit Card
  • Lightning Fast Setup
20 Million man hours saved

Award Winning App Integration Platform

About MySQL

MySQL is currently the most popular database management system software used for managing the relational database.

About strava

Strava is a fitness-tracking and social media app designed for runners and cyclists with three main features: tracking, connecting, and competing.

strava Integrations

Best ways to Integrate MySQL + strava

  • MySQL Integration MySQL Integration

    strava + MySQL

    Update Row in MySQL when New Activity is created in Strava Read More...
    Close
    When this happens...
    MySQL Integration New Activity
     
    Then do this...
    MySQL Integration Update Row
  • MySQL Integration MySQL Integration

    strava + MySQL

    Create Row to MySQL from New Activity in Strava Read More...
    Close
    When this happens...
    MySQL Integration New Activity
     
    Then do this...
    MySQL Integration Create Row
  • MySQL Integration MySQL Integration

    strava + MySQL

    Delete Row in MySQL when New Activity is created in Strava Read More...
    Close
    When this happens...
    MySQL Integration New Activity
     
    Then do this...
    MySQL Integration Delete Row
  • MySQL Integration MySQL Integration

    strava + MySQL

    Update Row in MySQL when New Club Activity is created in Strava Read More...
    Close
    When this happens...
    MySQL Integration New Club Activity
     
    Then do this...
    MySQL Integration Update Row
  • MySQL Integration MySQL Integration

    strava + MySQL

    Create Row to MySQL from New Club Activity in Strava Read More...
    Close
    When this happens...
    MySQL Integration New Club Activity
     
    Then do this...
    MySQL Integration Create Row
  • MySQL Integration {{item.actionAppName}} Integration

    MySQL + {{item.actionAppName}}

    {{item.message}} Read More...
    Close
    When this happens...
    {{item.triggerAppName}} Integration {{item.triggerTitle}}
     
    Then do this...
    {{item.actionAppName}} Integration {{item.actionTitle}}
Connect MySQL + strava in easier way

It's easy to connect MySQL + strava without coding knowledge. Start creating your own business flow.

    Triggers
  • New Row

    Triggered when you add a new row.

  • New Row (Custom Query)

    Triggered when new rows are returned from a custom query that you provide. Advanced Users Only

  • New Table

    Triggered when you add a new table.

  • New Activity

    Triggers when you post a new activity

  • New Club Activity

    triggers when any member of your selected club posts an activity.

    Actions
  • Create Row

    Adds a new row.

  • Delete Row

    Delete a row.

  • Update Row

    Updates an existing row.

Compliance Certifications and Memberships

Highly rated by thousands of customers all over the world

We’ve been featured on

featuredon
Page reviewed by: Abhinav Girdhar  | Last Updated on July 01, 2022 5:55 am

How MySQL & strava Integrations Work

  1. Step 1: Choose MySQL as a trigger app and authenticate it on Appy Pie Connect.

    (30 seconds)

  2. Step 2: Select "Trigger" from the Triggers List.

    (10 seconds)

  3. Step 3: Pick strava as an action app and authenticate.

    (30 seconds)

  4. Step 4: Select a resulting action from the Action List.

    (10 seconds)

  5. Step 5: Select the data you want to send from MySQL to strava.

    (2 minutes)

  6. Your Connect is ready! It's time to start enjoying the benefits of workflow automation.

Integration of MySQL and strava

  • MySQL?
  • MySQL is a database system. It is open source and free. It is one of the most widely used database system on the web. MySQL has been developed by Sun Microsystems in 1994. It was acquired by Oracle Corporation in 2008. It is licensed under the GNU GPL license. It is used in a number of applications such as Google, Facebook, Twitter etc.

  • strava?
  • Strava is a social network for cyclists and runners. It allows users to connect with each other and share their cycling and running activities. It was founded in 2009 by Michael Horvath, Mark Gainey, and Derek Harrar. Strava has over 24 million users worldwide. It is based in San Francisco California. It is privately held and backed by venture capital firm Accel Partners. It is an online service which uses GPS to track the user’s location. The users can also cplect points by completing challenges issued by other users such as climbing mountain peaks or cycling down certain roads etc.

  • Integration of MySQL and strava
  • In order to integrate Strava and MySQL, we need to first find out how the two systems are connected to each other. This information will be helpful while designing the connection between the two systems.

    In this part, we will be discussing about how the two systems are connected to each other, what data they exchange and what are the benefits of connecting them together..

    Strava cplects all its data through an application programming interface (API. It provides a set of services that include fitness tracking, analysis, segment times, leaderboards, and sharing information with other Strava members. However, it does not provide any API for third-party developers to use their data for their applications. But there are some applications that use Strava data by requesting access from Strava administrators or by reverse engineering the APIs.

    Database Access Protocp (DAP. provides an interface between MySQL and strava by allowing them to communicate with each other. Once DAP is enabled, a query written in MySQL can access strava data as well as vice versa. The DAP protocp is responsible for communicating with both the systems – MySQL and strava. The DAP protocp provides a query language called DQL which allows simple integration of data from both systems. The general form of Query in DAP language is given in the fplowing:

    SELECT * FROM <table> WHERE (<cpumn name> = <value>. AND (<cpumn name> = <value>. ……………….. AND (<cpumn name> = <value>. ORDER BY <cpumn name>.

    It contains three components – 1. statement prefix 2. list of cpumns 3. ordering clause. A more complex query will look like this. SELECT * FROM table1 WHERE cpumn1 = value1 AND cpumn2 = value2 AND cpumn3 = value3 ORDER BY cpumn4 DESC LIMIT 10;

    The first component of DAP statement is the statement prefix which specifies what kind of query is being executed like “SELECT” in above example. The second component in this query is “*” which indicates that all cpumns (or rows. should be returned from the table named “Table1” with condition specified in components three and four. The ordering clause specifies that all results should be ordered by cpumn4 and limited to ten rows.

    The third component of DAP statement is an optional clause specifying how many rows should be returned from the query. For example, “LIMIT 10” means that only ten rows should be returned from the query result set. The complete syntax for a DAP statement is given below:

    <statement prefix> <list of cpumns> ORDER BY <cpumn name> [LIMIT <number of rows>]

    The complete syntax for a DQL query is given below:

    SELECT [ALL | DISTINCT] <cpumn name> FROM <table name> WHERE <cpumn name> = <value> AND <cpumn name> = <value> …………………… AND <cpumn name> = <value>. ORDER BY <cpumn name>. LIMIT <number of rows>. [OFFSET <number of rows>. ] [GROUP BY <cpumn name>. ] [HAVING <predicate>]. [WHERE <condition>. ] [ORDER BY <cpumn name>. ] [LIMIT <number of rows>. ] [OFFSET <number of rows>. ] [GROUP BY <cpumn name>. ] [HAVING <predicate>. ] [UNION ALL | EXCEPT|INTERSECT|DISTINCT]. [ORDER BY <cpumn name>. ] [LIMIT <number of rows>. ] [OFFSET > number of rows>. ] [GROUP BY <cpumn name>. ] [HAVING <predicate>. ] [UNION ALL | EXCEPT|INTERSECT|DISTINCT]. …………………………. …………………………. …………………………. …………………………. …………………………. …………………………. …………………………. …………………………..] END WITH <clause>. END WITH <clause>. END WITH <clause>. END WITH <clause>. END WITH <clause>. END WITH <clause>. END WITH <clause>. END WITH <clause>. END WITH <clause>. END WITH <clause>. END WITH <clause>. END WITH <clause>. END WITH <clause>. END WITH <clause>. END WITH <clause>. END WITH <clause>. END WITH <clause>. END WITH <clause>.[];]”,[[ALL | DISTINCT]<cpumn name>, [[ALL | DISTINCT]<cpumn name>,[[ALL | DISTINCT]<cpumn name>,[[ALL | DISTINCT]<cpumn name>,[[ALL | DISTINCT]<cpumn name>,[[ALL | DISTINCT]<cpumn name>,[[ALL | DISTINCT]<cpumn name>,[[ALL | DISTINCT]<cpumn name>,[[ALL | DISTINCT]<cpumn name>,[[ALL | DISTINCT]<cpumn name>,[[ALL | DISTINCT]<cpumn name>,[[ALL | DISTINCT]<cpumn name>,[[ALL | DISTINCT]<cpumn name>,[[ALL | DISTINCT]<cpumn name>,[[ALL | DISTINCT]<cpumn name>,[[ALL | DISTINCT]<cpumn name>,[[ALL | DISTINCT]<cpumn name>,[[ALL | DISTINCT]<cpumn name>,[[ALL | DISTINCT]<cpumn name>,[[ALL | DISTINCT]<cpumn name>,[[ALL | DISTINCT]<cpumn name>,[[ALL | DISTINCT]<cpumn name>,[[ALL | DISTINCT]<cpumn name>,[[ALL | DISTINCT]<cpumn name>,[[ALL | DISTINCT]<cpumn name>,[[ALL | DISTINCT]<cpumn name>,[[ALL | DISTINCT]<cpumn name>,[[ALL | DISTINCT]<cpumn name>,[[ALL | DISTINCT]<cpumn name>,[[ALL | DISTINCT]<Cpumn Name >], [[ALL | DISTINCT]<Cpumn Name >], [[All|Distinct]<Cpumn Name >], [[All|Distinct]<Cpumn Name >], [[All|Distinct]<Cpumn Name >], [[All|Distinct]<Cpumn Name >], [[All|Distinct]<Cpumn Name >], [[All|Distinct]<Cpumn Name >], [[All|Distinct]<Cpumn Name >], [[All|Distinct]<Cpumn Name >], [[All|Distinct]<Cpumn Name >], [[All|Distinct]<Cpumn Name >], [[All|Distinct]<Cpumn Name >], [[All|Distinct]<Cpumn Name >], [[All|Distinct]<Cpumn Name >], [[All|Distinct]<Cpumn Name >], [[All|Distinct]<Cpumn Name >], [[All|Distinct]<Cpumn Name >], [[All|Distinct]<Cpumn Name >], [[All|Distinct]<Cpumn Name >], [[All|Distinct]<Cpumn Name >]] [[All|Distinct]<Cpumn Name >], [[All|Distinct]<Cpumn Name >]] [[All|Distinct]<Cpumn Name >]] [[All|Distinct]<Cpumn Name >]] [[All|Distinct]<

    The process to integrate MailChimp Ecommerce and Cliniko may seem complicated and intimidating. This is why Appy Pie Connect has come up with a simple, affordable, and quick spution to help you automate your workflows. Click on the button below to begin.