Introduction: Automating tasks can save time and streamline processes. In this blog post, we will walk through the steps of scraping data from a website and sending it directly to Google Sheets using automation. This process can be incredibly useful for a variety of tasks, from tracking information to analyzing data.

Setting Up Your Google Sheet: To begin the automation process, it is essential to set up your Google Sheet correctly. Add headers in row one to define the data you will be scraping. These headers will serve as reference points for your automation later on, ensuring clarity and organization in your Google Sheet.

Sharing Your Google Sheet: To enable automation, share your Google Sheet with the necessary tools. Click on the share button and ensure that you share it with the specific automation tool you will be using. This step is crucial for granting permissions and access to the automation process.

Creating a New Automation Web: Next, grab the URL of the website you want to scrape data from. Create a new automation web and continue without cookies. Paste the URL into the designated field and save the settings. This step will set the foundation for scraping data from the website efficiently.

Scraping Data: Once the automation web is set up, it's time to scrape data from the website. Click on the "scrape a list" option to collect information from the page. Begin by selecting the first item on the list and continue to click through the items to populate your data collection.

Expanding Data Collection: To capture a comprehensive list of data, continue clicking through the items on the website. By systematically clicking through each item, you can ensure that all relevant data is included in your scrape. This meticulous approach guarantees a thorough data collection process.

Confirming and Sending Data to Google Sheets: After scraping the desired data, confirm the selection and proceed to send the data to your Google Sheet. Paste the URL of your Google Sheet and choose the specific sheet where you want to store the data. This automated process will transfer the scraped data accurately to the designated location.

Review and Analysis: Once the data is sent to your Google Sheet, review the information to ensure its accuracy. You can further analyze the data within Google Sheets or export it as a CSV or JSON file for additional insights.

Conclusion: Automating data scraping and sending it to Google Sheets provides a convenient and efficient way to manage information seamlessly. By following these step-by-step instructions, you can harness the power of automation to streamline your workflow and enhance productivity.

Step 1- Write something on google sheet like country in this case

Step 2- Click on Share —Share with taskmagic.com

Step 3- Copy the URL

Step 4- Click on New Automation

Step 5- Click on Web — Click on continue without cookies

Step 6-Paste the URL and Click on Save to URL

Step 7- Click on Scrape a List

Step 8- Click on All the country name to scrape and Click confirm

Step 9- Go back to Google sheet and Copy the google sheet link

Step 10- Paste the google sheet link — Select the google sheet 1 — Click on Looks good

Step 11- Click on Play steps and everything will be exported to Google sheet

All right. So to scrape a list of things from a website and then send it to our Google sheet, the only thing we need to do in our Google sheet is add something in row one so that we have some headers. And this will be used in other automations later on, um, for our variables. We can get into that part later, but what you should do is just use something that's going to describe what's being put.

in this column. So in my example, it's going to be the country. Then we need to click share and make sure we share this with automations at taskmagic. com. After that, we'll go ahead and grab the URL that we're going to scrape, click new automation web, and then continue without cookies.

And then we will paste that first URL here. So I'll just paste here and then click save and go to URL. Now, when we get to the website, we want to scrape. I'll go ahead and click scrape a list because we want to get a list of things from the page. And then I need to click the first item in this list. So first I'll click Afghanistan, then I'll click Albania, and we'll see down here that it's populating everything in that list.

Now the only thing we will see is that it only grabbed the A's. And that's just the way that this website is set up in particular. What we can do to keep getting more records in this list, because we want to get every, uh, every letter, we'll just go ahead and keep clicking. So I'll click here, click here, and now we'll see that it got Everything on this left side of the screen, all of these countries.

Now, since it still hasn't gotten the right side, and this is still considered that same list of data. I'll go ahead and keep clicking here, Madagascar and the mouth. Is that Malawi? I've never seen that. We'll see it got everything in M and then after we do everything in N, this should be everything on the page.

We would need for task magic to be sure of what the entire list is. So I'll go ahead and click here and then click Nassau. And now we'll see that it got 257 rows, uh, which sounds like the right number, although I'm not positive. And so we'll see everything in here was scraped. Now, if there were more items that we wanted to scrape, we can click add new column and keep scraping.

Like, let's say that we got like the. I don't know the, whatever we wanted to do a description of the, whatever we wanted to do, um, if there was more information about the country, we could click add new column and click that data as well. So that's common on websites with profiles where it's like the name of person and their bio, uh, or things like that.

Anyways, after we scrape this list, we can go ahead and click confirm. And that's all we need in this automation in particular to scrape all of our data. Next, we can go back to Chrome and grab our Google Sheet here. Grab the link to your Google Sheet. And then back in Task Magic again, we'll click send to Google Sheets.

We can paste that URL here and then select the sheet that we want to send to. And we'll see that header that we added here pop up and any steps that we have will show the column that they're going to go to. If you don't have a header, but you have a step, it may not display it here, but it'll still put that data in the column.

Um, but since you didn't give us a column, we're assuming you don't really care about that data. When I click, looks good. This is just a saves button. So this won't send any of the data from when I recorded or when I run to my automation. Um, this only sends the data after clicking place steps or a scheduled automation finishes running.

So again, clicking in here. And then clicking, um, if we click our sheet and we click, looks good. This will never send the data. It just saves the autumn, uh, saves the Google sheet. We connected when I click play steps here, this is going to go ahead and run that automation. And if I click over here, this will be a really fast one.

Um, but we'll see here that it's going to load the page and then scrape the results and we'll see how many results were scraped over in this section here. Um, it'll tell us everything that was found. Um, if this was zero, then something is wrong with our scrape list step. So for whatever reason, this was zero, we would want to rerecord or retest this step.

Um, but anyways, back to the automation part of this, if we go back to our Google sheet, we'll see that everything was exported here. And just to double check, we can also click out and we'll see that all of these were found as well. Um, in this section here, we could download that as a CSV or as a JSON if we wanted to.

Um, but for the most part, clicking send to Google sheets should be enough there.