How to Scrape LinkedIn Using n8n (Free Template!) - 2026

Chapters: 0:00 Introduction to LinkedIn scraping · 0:36 Setting up the Apify scraper · 1:25 Configuring scraper parameters · 3:02 Building the HTTP request · 4:51 Connecting to Apify endpoint · 5:43 Exporting data to Google Sheets

0:22 Hi, my name is Anibi Bstram. I'm a tech consultant based in Stockholm. In this tutorial, I will show you how to use an N template to scrape job details from LinkedIn in less than 2 minutes. Let's get started. For scraping LinkedIn, we will use a tool called Appify. We will log into console.appify.com. And from here, you can see that every single user in Epify gets free $5 every month. So from here we will click on EPify store and from Epifi store we will search for LinkedIn job scraper. You can see that there are a lot of options here and I don't recommend to use an option that is trying to get your cookie information or session information.

1:09 This is highly not recommended because it is not safe. And in my case I will use LinkedIn job scraper. The reason I'm using this one is because this one was free for the first three days. Now under manual tab you will enter job title. This will be the title of the job that you are trying to get or you want to scribe from LinkedIn. So for me it will be developer I workload automation specialist and so on. Then for the location you will choose either a continent, several continents or you can choose just a country for example Italy or Sweden. Then if you are looking for a certain company of course you will add the name of the certain company here for example you can click on add button and you can add Facebook.

1:59 Then company ID published ad and in my case I will just choose past week then total rows. This is the number of rows of output or how many outputs you want to get. And you also have option to choose if you want to work remote or if you want to work on site or if it can be hybrid for example. And under the job type for me it is contract because I'm looking for contract opportunities. Experience level you can choose if you like but you don't have to. And that's it. Then you will click on save button. Once that is done, you will go to JSON.

2:47 And here you will see the JSON code that was created when you were doing your manual choices. So you will just copy this by clicking on this copy to clipboard button. Now back to N again. And here we will create an HTTP request. If I double click on HTTP request, you can see that the code that we copied from apply will be passed in here. Under JSON, we will choose body content type JSON. Specify body using JSON and then under JSON, we will just past the code that you copied from epify.com. And here you can think so which of those input information is variable for you.

3:35 So will you for example change location every time you try to scrape data from LinkedIn or will you change the amount of output that you want to get from LinkedIn or will you change the title for me rows titles and locations are variable information. So the way I will manage this is that I will create submission form in here. You can see if I double click on this, you can see that I will create input variable called job title and then element type will be text area because here you might want to enter for example developer or I specialist or Python developer and so on. So you want to give you the chance to not only enter text but enter long text.

4:23 So that's why you will choose text area and then under that you will choose another field name job location and in this case for example if you want to search for a certain country or for a certain continent you will enter that information in here. Next you will choose total rows. This is how many rows you want to get. Like then one more thing is that in http request you will need to know which URL you will use and for getting this URL you will go back to epify.com and then you will go to integration tab and from here you will search EP endpoints. So here you can see that there are a lot of different endpoints.

5:11 The one that you need is run action synchronously. So you will just copy this one and you can even see that the token information is already included in this URL. So you just copy this one and you will go back to NAN and here under URL you will just post this one. Also make sure to change the method to post in here. If you come out of this, you can see that we have another tab which is Google sheet tab. And the reason we use this one is because after we scribe information from LinkedIn, we want to save it in a Google sheet. And how you will do that? you will just connect to your Google sheet account and from there you will map you will map all your input information with your columns in Google sheet.

6:04 So if I go to the Google sheet, you can see that I have already created a Google sheet and I entered all the different column names that are the same as the column names that are coming from LinkedIn. Now let's see this in practice. If we try to execute previous note so that you can see all the information. So here job title I will enter developer job location USA and total cost can be just one and I will submit the form this can take couple of seconds to contact to epify and get information via epify's URL.

6:58 So now we have the information and you can see all the input values and you can see how I mapped input values with Google sheet. So in Google sheet for ID I will just drag and drop the ID from input to Google sheet mapping area. Then the same thing with publish and so on. You get the idea. And now I will be giving away this N10 template for free. You just need to like this video and comment anything down below. I hope this was helpful. Have a good day. Bye.