Stubhub is a website for fans to buy and sell tickets for different events. Usually, you can search for the ticket price, time, and location of an event to decide whether to purchase it or not.
This tutorial will show you how to scrape ticket prices from Stubhub.
To follow through the tutorial, you may want to use the URL below:
Here are the main steps of this tutorial:
- Create a Go to Web Page - to open the target website
- Auto-detect the webpage - to create a workflow
- Modify the XPath of Loop Item - to locate the loop accurately
- Create a Pagination - to load more data on the webpage
- Run the task - to get your desired data
1. Create a Go to Web Page - to open the target website
- Enter the target URL into the search bar on the home screen and click Start
2. Auto-detect the webpage - to create a workflow
Octoparse's Auto-detection function can help you quickly create a workflow according to the target website's design.
- Click Auto-detect web page data in Tips and wait for the detection to complete
- Check the data fields in Data preview and delete unwanted fields or rename them if needed
- Click Create workflow
- Modify the XPath of Price
Sometimes, the price of an event might not be a fixed value but a range, so we need to modify the XPath of the Price data field to scrape different types of prices.
The price of the event will now be presented as:
3. Modify the XPath of Loop Item - to locate the loop accurately
The auto-generated XPath of Loop Item needs to be modified; otherwise, Octoparse may fail to correctly locate the loop on different web pages.
- Click Loop Item to open its settings
- Input the Matching XPath as: //div[@class='Panel Panel-Border EventItem']
- Click Apply to save the change
4. Create a Pagination - to load more data on the webpage
- Click See more events at the bottom of the webpage
- Click Loop click single button in the Tips
Now, you will see a workflow created like the one below:
5. Run the task - to get your desired data
- Click Save on the upper right to save your task
- Click Run next to it and wait for a Run Task window to pop up
- Select Run on your device to run the task on your local device
- Wait for the task to complete
Here is the sample output from a local run: