Skip to main content
All CollectionsData Enrichment
Scraping Leads from LinkedIn - Person Profile
Scraping Leads from LinkedIn - Person Profile
K
Written by Khadija
Updated over a week ago

With Pipl.ai’s scraping LinkedIn leads feature, you can now pull the desired data of your business leads and potential clients with a single click.

This article covers the steps for importing a person’s LinkedIn profile data into your Pipl.ai campaign.

Pre-requisites

The lead’s record must have a valid LinkedIn profile URL. To verify:

  1. Open the lead’s record in edit mode.

  2. Check if the LinkedIn profile link is added in the “Linkedin Person URL” field.

👉 If it hasn't been added already, you can add a link. Make sure the link is added to the correct field, i.e., LinkedIn Person URL if the profile link is for a personal profile and not a company profile.

Steps to scrape LinkedIn profile data

To scrape LinkedIn profile data, follow these steps:

  1. Select a campaign to edit from your campaigns page. It will open campaign details where you can see all the added leads and their details in the corresponding columns.

  2. Under the Leads tab, click the green button, “Enrich & Verify Leads.” It will open the data enrichment sheet.

  3. There are two different ways to scrape LinkedIn data:

    1. Either you can click the green button, “Add Enrichment,” or

    2. You can click the purple button, “Add Enrichment” > Scrape LinkedIn URL.

Steps for the green button “Add Enrichment”

Clicking the green Add Enrichment button will open the Add Enrichment window with multiple data scraping options.

a. Select Scrape LinkedIn >LinkedIn INTEL

b. The Scrape Linkedin URL dialog box will appear. Select Person from the scrape type.You can toggle the additional data points on/off based on the data you want to fetch from Linkedin.

c. Click on the Save & Run first 10 rows button. You will be navigated back to your data enrichment screen/sheet, where the system pulls the data. It will take a while until it finishes fetching and displays the data.

Steps for the purple button “Add Enrichment”

This is more of a direct and shortcut path for quick data scraping.

a. Click on the blue Add Enrichment column, and select Scrape Linkedin URL from the dropdown menu.

b. The same Scrape Linkedin URL dialog box will appear. The only difference is that this time, it appears directly rather than first displaying all the enrichment options. Perform the same steps of selecting the Person, turning on/off toggles if needed, and hitting the Save and Run first 10 rows button.

4. Whichever method you choose from the above, once you hit the Save & Run first 10 rows button, the workflow will be triggered, and data will be retrieved from Linkedin based on your data point selection. For example, if you turn off the headline, it won’t pull the headline of the person’s LinkedIn profile.

Your LinkedIn profile URL should be a valid one in order to scrape data successfully.

5. Once the system completes its fetching process, you will be able to see the new columns containing data from the provided lead’s LinkedIn profile.

Errors

There are potentially two errors that can occur.

1. Wrong LinkedIn URL Type

This error occurs when a LinkedIn URL is missing from your lead’s contact. Make sure you add a LinkedIn profile URL and then try again.

2. 404 - Profile not found

This error occurs when you have an incorrect LinkedIn profile URL in your lead contact.

To resolve this error, open the lead’s record in edit mode and enter a valid URL in the Linkedin Person URL field.

Export Data

You can follow these steps to export the scraped data:

  1. If you wish to export selected rows, you can select the individual row by check-marking them.

  2. Click the dropdown arrow on the Export button and select the “Export Selected” option.

  3. An Excel file will start downloading automatically.

  4. If you wish to export all the rows, select the Export All option from the Export button dropdown.

👉 Before downloading, you can also customize the data view within Pipl.ai. Learn more about it.

Did this answer your question?