The main issue with the full cloud is the ease of detecting abnormal activity on social networks. Detailed explanations below □ The trade-off: the cost of the full cloud We’re less of a fan of this, but it can be defended in some cases. The alternative is to use the built-in tool to chain Phantombuster scenarios. Conceptually, it’s very, very compelling. Running the data through proprietary spreadsheets allows you to inject human validation processes and intelligently mix robots & humans. There will always be noise, empty results at best, and false positives at worst. The data will automatically update every 2 hours as long as the Phantom is running.īy automating, we will never achieve 100% accuracy. To obtain this link, simply click on the “Copy Link” button on the CSV file of your results located under the “Files” section on a page in the Phantom console. To import the results file into Google Sheets, first open a Google Sheet and use the =IMPORTDATA function with the CSV link as an argument. By importing this data systematically into Google Sheets, it will be updated at each new launch. If your Phantom is set up with repeated automatic launches, your CSV file will be updated with each launch. The 100% cloud philosophy and the super management of inputs/outputs allows you to build almost perfect flows, while keeping the hand on the process. This is one of the most powerful aspects of the solution in our opinion, and yet not well documented. Using Phantombuster with Google sheets allows you to create (almost) perfect workflow processes You can also, for example, extract professional emails from your LinkedIn connections and then automatically integrate the resulting information into your HubSpot CRM tool. You can also use the following workflow that enriches your CRM tool with your Linkedin relationships: The same exists with Sales Navigator which allows you to extract contacts from an advanced search URL on Linkedin : And there you have it, a list of prospecting emails ready to use! Simply extract the profiles of people in your LinkedIn search results, and use the scraping option to extract only verified professional emails. If you don’t particularly want to reinvent the wheel, Phantombuster also offers ready-made workflows, most of which are quite well thought out.įor example, you can turn a LinkedIn search into an email list by following this Phantombuster scenario: This is a real particularity of Phantombuster, compared to other more “packaged” solutions such as waalaxy, dux-soup, linkedhelper, …) which are much more rigid, because they are focused on use cases imagined by the product team. For each imaginable object on Linkedin (post, people, company, comment, invitation, …), each possible action is available in the form of a phantom. The design of the phantoms is also very efficient. We counted about 30 of them, just for Linkedin! The phantom library is very deep, and this is a real feature of Phantombuster, which offers very “atomic” things to allow you to get only what you want, and imagine original things. You send an input, and it returns an output.įor example, you give the URL of a Linkedin post, and the phantom returns a list of Linkedin profiles that have commented on that post. Phantombuster is primarily a sales automation tool, a bit like Apify or Captain Data.Ī phantom works like an API route. According to us, and according to other users. In this article, we detail the philosophy of the tool, the use cases, and the things the tool is really good for. The tool is undeniably effective in setting up flow processes. Phantombuster has become an essential tool in the toolbox of the growth hacker and/or sales ops.
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