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Web Data Extraction -> T61 - Extract people data from Web and transfer it to a database

Task Description: Extract people data from web and transfer it to a database.

Note: This sample task uses an example of searching people by last name and city on Yahoo and putting their name and address information in the database.

Solution
1.Record a new task
  • Click on Tools->Web Recorder.
  • Type in the http://people.yahoo.com/ and click on Start
  • Specify last name, City and Click on Search button.
2.Extract the addresses and phone numbers
  • Click on the 'Extract Table' button from the bottom right corner toolbar.
  • Click on the search results table that lists the people who met the search criteria.
  • Save the search results to a csv file.
  • Click Next to fetch the next set of results.
  • Again extract the table of search results. Repeat this step as per your requirement.
  • Stop the recording and save the task.
3.Save the addresses and phone numbers in the database
  • After every Extract Table command is executed, you can use System Variable command, $Table Column(index)$ to extract the row data of the Table.
  • Insert Database commands to connect and insert the Tabular data extracted from the web into the database.
  • The task would look as shown in Screenshot 1
 
When you run this task, it searches people by last name and city and extracts their addresses and phone numbers and saves them to a .csv file and inserts them into your database.

Customer Testimony

"Wow! This program is fantastic. I was given the task to figure out how to get a list of over 1000 contacts off of a website and into Excel. I was trying to write some kind of macro for days through Excel's VB extension and was making no progress. So I went online and found Automation Anywhere, it took me only minutes to write a macro to copy the addresses. I owe Tethys Solutions hours of my life that I was prepared to spend copying and pasting. Thank you so much Tethys"- Ben Kinney, Monterey media  

Read more Customer Testimonies

Screenshot 1:

 

Tags: Web data extraction, web data mining, screen scraping

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