In 10 minutes you'll understand Data Miner basics, like how to scrape simple data using public recipes and right clicking. As well as downloading and saving the data.
In 30 minutes you will be able to extract large collections of data and do multi-layer scraping by creating a Data Miner Job
To use a Public Recipe, you must first find the data you want to scrape. Data Mine can only extract data when it's visible on your browser.
Next, open up the data miner extension and find the recipe that best describes your data. Then click on it.
Once the recipe runs, click Download and save it to excel.
Some recipes are also filtered by website account type. For example,
Linkedin.com has Basic,
Premium, Recruiter and Sales Navigator. Each account has dedicated recipes indicated by the
account name at the beginning of the recipe name.
Below are some of the suggested recipes for the different LinkedIn accounts.
|$ LinkedIn - People Search||$ LinkedIn Premium - People Search|
|$ LinkedIn - Profile Header (email)||$ LinkedIn Premium - Profile Header (email)|
|$ LinkedIn - Profile Education||$ LinkedIn Premium - Profile Education|
|$ LinkedIn - Profile Experiences||$ LinkedIn Premium - Profile Experiences|
|$ LinkedIn Recruiter - Search People||$ Sales Navigator - People Search|
|$ LinkedIn Recruiter - Profile Header (email)||$ Sales Navigator - Profile Header (email)|
|$ LinkedIn Recruiter - Profile Education||$ Sales Navigator - Profile Education|
|$ LinkedIn Recruiter- Profile Experiences||$ Sales Navigator - Profile Experiences|
Multiple page results is very common for search pages. Data Miner can automatically click and scrape multiple pages by finding the next page button and clicking it.
To start auto pagination, select a search recipe for a site that has multiple pages. Then in the left hand panel, click Start Pagination and watch the rows accumulate.
Once you've accumulated enough rows, simply press Stop Pagination.
For basic tables, you won't even need to select a recipe. Data Miner is capable of analysing basic tables and extracting data automatically with right clicking.
Once the table has been analyzed and scraped, download the data and click save to use later.