When setting up Phantoms, you may wonder what the difference is between the "Number of results per launch" and "Number of results per search."
Because you can make multiple searches with one Phantom, you'll want it to collect a certain number of results for each. However, your Phantom will only scrape as much information as you tell it to every time it launches. See below for an example on how to control these numbers:
In a Phantom's Setup, you'll often be asked for a 'Search input' (using LinkedIn Search Export as an example):
You have three options for filling in this field:
- Give search criteria (e.g. Haunted House Manager)
- Use a LinkedIn search URL (e.g. https://www.linkedin.com/jobs/search/?geoId=92000000&keywords=haunted%20house&location=Worldwide)
- Use a spreadsheet URL (CSV or Google Sheets) containing multiple LinkedIn searches/search criteria:
If you're using a spreadsheet containing multiple inputs, the following fields will be important to you:
Your Phantom needs to know how many results you want to get per launch (the amount the Phantom scrapes each time it runs) and per search (the amount you want for each of your search criteria).
Let's say you want the Phantom to extract 10 results during each launch, but in total you want 20 results for each of your different LinkedIn searches (e.g. you want to find 20 phantom executive officers, 20 bloodcurdling sound effects producers, and 20 spooky business analysts as shown in the spreadsheet above). This is a total of 60 results overall, therefore by extracting 10 per launch it will take 6 launches for the Phantom to complete its job.
The reason it's important to spread the extraction of all 60 results across multiple launches as opposed to doing it all in one is to respect the respective rate limits from the network you’re automating (in this case, LinkedIn).
This is a worthwhile option when you schedule several automatic launches.
The Phantom will work through each search criteria in the order they appear on your spreadsheet, and will automatically start from where it left off during its previous launch.
N.B. In this example, we used LinkedIn Search Export, but the same logic will apply with Phantoms such as LinkedIn Auto Liker, Google Maps Search Export, Instagram Hashtag Collector, Instagram Follower Collector, Twitter Export Tweets and many more!