Hey there, fellow tech enthusiasts! Ever wished there was a way to simplify the process of gathering email addresses from your LinkedIn connections? Well, you're in for a treat because today, we're going to walk you through a step-by-step tutorial on how to achieve just that using the power of automation. We all know the pain of manually collecting data – the endless copying, pasting, and scrolling. But fear not, because with the magic of automation, you can streamline this process and get those coveted email addresses with minimal effort. So, let's jump right in!

Let's kick things off with a friendly greeting and a sneak peek into the magic we're about to unleash. And guess what? You won't need a toolbox full of gadgets for this journey – just grab your trusty Google Sheet and make sure those headers are in place. Yup, that's all we need.

Get ready to revolutionize your LinkedIn game! We start with a warm hello and a sneak peek into the awesomeness ahead. No need for complicated tools here – just your trusty Google Sheet with some snazzy headers.

We kick things off by capture steps¹ for our LinkedIn email scraping mission. This involves setting up the automation to handle the data collection process seamlessly. So lets click on the capture steps¹ button

Before we dive into action, we give a quick heads-up about waiting for the recording window¹, ensuring everything is synced and ready to roll.

Time to connect the dots – we guide you through the process of linking up with your Google account for smooth integration. We click on the Continue with Google¹ button and we sign in like we normally would on google. In this case we see a 2-Step Verification² pop-up, lets verify³ your account this one time and deal with it later.

Verification time! after we get (in this case) this 2FA code¹ we click on Next².

Now, let's get to the heart of the matter. We guide you through navigating to your My Networks¹ section on LinkedIn, setting the stage for our data extraction adventure.

Once the window is visible, direct your attention to the left-hand side of the page, where you'll spot theConnections¹ tab. Clicking on this option is crucial, as it is precisely where we'll find the email addresses of our connections.

Here's the URL¹ we're going to be working with: https://www.linkedin.com/mynetwork/invite-connect/connections/ – the link that holds the key to the data we seek. In order for this to we, we have to select the scraping lists² button for efficient data collection.

We roll up our sleeves and demonstrate how to scrape a list¹ of usernames. We first have to select two of the same elements. For this example we’re using two usernames². When we click on this username, well see the information stored in our Recording Bar. As you can see, scraping this option gives us a pop. We have two options. One for Text³ and one for URL⁴, we are going to be choosing both Text³ and URL⁴, for a comprehensive data capture. We’ll cover what each of them does later on, but if you really want to see, click here.

Time to take a more personalized approach. Once we've wrapped up the essential data scraping, let's navigate to any profile¹ – just as you would on any standard browser. Upon landing on the profile's homepage, you'll have the freedom to scrape a variety of information. However, for our current focus, we're zooming in on the Contact Info².

Simply click the Contact Info² button, and voila, a popup appears. Within this popup, you'll find the user's email address⁴. To ensure precision and avoid unnecessary repetition of elements, we're opting for a scrape text ³ technique here. This allows us to extract a single element – the email address⁴. We’ll cover what it does later on, but if you really want to see, click here.

Mission accomplished! We show you how to gracefully stop recording¹ once your desired data has been successfully scraped.

The harvested data needs a home, right? We can send this information to a Google Sheet¹ or to a Webhook². For this example we’re going to be using Google Sheets¹.

After opting for the Google Sheet choice, a pop-up window will appear. Here, the task at hand involves linking our Google Sheet and verifying the accuracy of our headers and worksheet. If all appears in order¹, simply proceed to click the Looks good² button.

In the realm of automation, adaptability reigns supreme. Remember the captcha we had in the begging? We shed light on a powerful feature – the ability to Allow errors¹ and effortlessly Delete stepsﾲ, giving you full control over your automation journey. Any of these two options can solve this one time issue, but just for this automation (because we are doing 2FA). If you are trying with something else, the solution will most likely be the same steps, if it still doesn't work please check Have an issue running your automation? Check these three steps.

Embark on a journey into the realm of the URL¹ ² option, effortlessly weaving it into the fabric of your data collection approach. The objective: enhance the efficiency of your process, ensuring a seamless experience. To incorporate this URL¹ , simply tap the green + sign located between the steps. Rest assured, we'll tidy up by removing step 2² and step 3² down the line. For now, they serve as placeholders, guiding you to the exact spot for placing the link.

Watch as we effortlessly glide through the task of pasting the URL¹ into its designated spot, ensuring an uninterrupted flow of data. For this we click on the URL¹ option shown bellow.

Back to the URL that holds the key to your LinkedIn connections. We navigate you through the process of adding the cornerstone URL: https://www.linkedin.com/mynetwork/invite-connect/connections/¹. Once you’ve placed the URL, you can click on save².

Elevating efficiency to unprecedented levels! We unveil a revolutionary approach – harnessing the scraped many links step as a dynamic variable – tapping into automation's prowess to elevate the potency of your data collection endeavors. Similar to the preceding step, we seamlessly incorporate a URL, and strategically position this dynamic variable where we initially clicked on the username profile². In the context of this instance, envision clicking on Juan Carlos Banos²profile link; thus, we position the variable¹ just prior to step 5², the pivotal click on the green +¹ button will unveil all the links profile details.

During the process of scraping the My Connections page, a choice arose between text and URL extraction. Step 4 served as the designated repository for these URLs. Now, we are set to harness the power of step 4 as a dynamic variable, utilizing it to efficiently access and open the collected links.

With a clear understanding of step 4 significance and having seamlessly integrated a subsequent step to opt for URLs once again, we find ourselves at a juncture where we won't be inserting any new links. Instead, we'll strategically insert the variable @step4 – this is where the magic happens. After selecting step 4, a simple click on Save is all that's needed.

The moment of automation truth has arrived. We demonstrate the art of setup trigger, initiating a beautifully orchestrated dance of data collection.

Decisions, decisions. We dive into the choice of Skip Google Sheet setup, or to Setup a Google Sheet with data, enabling you to hone in on the loop setup and maximize your efficiency. But for this moment we want to skip this step. I you want to know What’s the difference between exporting and importing data from Google Sheets?

Navigating the loop count waters can be a breeze with our guidance. We walk you through the process of determining the number of iterations – in this case, we've chosen 5 for illustrative purposes.

We delve deeper into the intricate art of scheduling¹ the loop, ensuring a flawless execution that aligns with your objectives. But in this example, simply by clicking Continue² is more than enough.

Customization at its finest. We empower you to fine-tune the loop trigger to suit your specific needs, ensuring a data collection masterpiece. for this example, we’re going to be loop from Step 5 which is the scraped URL’s we got from the scraping lists button , all the way to Step 7. This is where we scraped the users email address.

Now we just adjust the loop slider¹ to the steps desired (in this case Step 5 through Step 7) and then we can press Play steps and see our app do its Magic.

You are about to witness the magic of automation. We will show you how it works and how to handle any unwanted tabs³ that may pop up. You can stop or pause¹ this automation at any time. The automation will take place in the first tab². If you see any new tabs³ that you don’t want, you can close⁴ them or switch back to the first tab². It’s up to you because our automation runs independently from your normal browsing experience. For example, you can watch a YouTube video in the same browser where the automation is running and it won’t affect the automation (unless you close the main tab²).

The loop elegantly navigates through the array of URL¹ links, optimizing your data collection process like never before. At step 4¹, you can see the URL¹ of the variable take its place. You can also see the automation clicking² on the exact same elements² ³ I did in the recording, and you can see the email³ being scraped from all the links we scraped either.

It’s a moment of triumph and validation when that cherished complete¹ notification graces your screen. You know you’ve surmounted the automation challenge victoriously. Curious? We guide you to the ultimate destination - your Google Sheet². Behold the results of your labor, neatly organized³ and ready for your perusal. As you can see, column one has the profile name, column two has the links we looped through (in this case it was @step 4), and we can see the five loops we did in the third column ⁴

And now it's your turn! Dive right in and give it a go. Remember, practice makes perfect. Reflect on your journey from automation initiation to efficient data scraping. Your LinkedIn email scraping skills have reached new heights. Get out there and make the most of your newfound prowess!