Tutorial 4: Finding Speaker/Attendee LinkedIn Profiles

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Goal

1. Extract the names (if they are on a webpage or from a list of pages).
2. For each name, search Google for their LinkedIn profile.
3. Identify the most relevant LinkedIn profile URL from the search results.
4. Navigate to that LinkedIn profile.
5. Extract key information from the profile (e.g., current job title, company).

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Key Blocks Used

• Open Websites
• Extract Data
• Open datasets (if starting with a predefined list of names not on a webpage)
• Google Search
• Find Links
• Follow Links

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What You’ll Learn

• How to chain multiple actions and data sources.
• Using variables (like names) to drive dynamic searches.
• Strategies for identifying correct links from search results.
• Building a more robust, multi-stage data collection workflow.
• Handling paginated lists of source names.

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Scenario A: Names are on a Multi-Page Web List (e.g., Conference Speaker Pages)

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Steps

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1. Create a New Workflow

• Navigate to your Jsonify Dashboard.
• Click: Create an empty workflow ➙ Extract.

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2. Configure Open Websites Block

• Select the Open Websites block.
• We’ll use the Websummit featured attendees list as an example, which spans multiple pages.
• Click the dropdown next to the + Add button and select Add a numbered range of URLs.
  • Enter the URL pattern…: https://websummit.com/featured-attendees/page/{{page}}/
  • And enter the page ranges to add here: Start 1, End 3 (for this example, to process 3 pages of the Websummit list).
• Ensure the toggle is ON for the generated URL pattern.

Screenshot: Open Websites block with Websummit numbered range URL pattern

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3. Configure First Extract Data Block (To Get Names)

• This block will extract names from each page opened by the Open Websites block.
• Select the Extract Data block (it’s already in the template after Open Websites).
• What information…?: A list of items (as each page lists multiple attendees).
• Attributes:

  NAME	EXAMPLE VALUE OR A LONGER DESCRIPTION
  full_name	The full name of the attendee, e.g., Jane Smith

• Additional instructions…: Extract all attendee (conference speaker) full names listed on the current page. Ignore everything before "book tickets"; target attendees come after that text.

Screenshot: First Extract Data block configured to get names from paginated list

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4. Add and Configure Google Search Block

• Now, for each full_name extracted, we search for their LinkedIn profile.
• To add a new block:
  1. Look at the block categories at the top of the editor (Trigger, Input, Transform, Filter, Output).
  2. Select the Ibpur category.
  3. From the dropdown list of blocks that appears, select Google Search.
  4. Now, click the + icon on the canvas at the point where you want to add the block (i.e., after the first Extract Data block). The Google Search block will be added and connected.
• Select the Google Search block.
  • What should the AI search for?: {{full_name}} LinkedIn profile site:linkedin.com/in/
    • Using site:linkedin.com/in/ helps narrow down results to LinkedIn profiles.

Screenshot: Google Search block configured with dynamic name search

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5. Add and Configure Find Links Block

• From the Google search results, we need to find the most relevant LinkedIn profile link.
• To add a new block:
  1. Look at the block categories at the top of the editor.
  2. Select the Transform category.
  3. From the dropdown list, select Find Links.
  4. Click the + icon on the canvas after Google Search.
• Select the Find Links block.
  • What kind of links?: Find one URL of linkedin profile of the person from the query. That must be a personal linkedin profile (contains https://www.linkedin.com/in/), not a company profile, not a linkedin post URL. If you can't find it, set output fields to an empty value.

Screenshot: Find Links block configured to find the LinkedIn profile link

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6. Add and Configure Follow Links Block

• Navigate to the found LinkedIn profile.
• To add a new block:
  1. Look at the block categories at the top of the editor.
  2. Select the Input category.
  3. From the dropdown list, select Follow Links.
  4. Click the + icon on the canvas after Find Links.
• Select the Follow Links block.
  • Which links to follow?: Follow the first link (as we want the most relevant one).

Screenshot: Follow Links block configured to follow the first link

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7. Add and Configure Second Extract Data Block (From LinkedIn Profile)

• Now on the LinkedIn profile page, extract desired information.
• To add a new block:
  1. Look at the block categories at the top of the editor.
  2. Select the Transform category.
  3. From the dropdown list, select Extract Data.
  4. Click the + icon on the canvas after Follow Links.
• Select this new Extract Data block.
• What information…?: A single item.
• Attributes:

  NAME	EXAMPLE VALUE OR A LONGER DESCRIPTION
  linkedin_url	The current URL of the LinkedIn profile page.
  current_title	The person's current job title, e.g., Software Engineer at XYZ Corp.
  current_company	The name of the person's current company.
  headline	The headline text displayed on the LinkedIn profile.

• Additional instructions…: You are on a LinkedIn profile page for {{full_name}}. Extract the specified details. If a field is not found, leave it empty.

Screenshot: Second Extract Data block for LinkedIn profile details

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Scenario B: Starting with a Predefined List of Names

1. Start with Open datasets Block:
   • Create a column named full_name.
   • Enter each person’s name in a new row.
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     Screenshot: Open datasets block with a list of names
2. Proceed from Step 4 (Add and Configure Google Search Block) in Scenario A, using the {{full_name}} variable from the Open datasets block. You would omit steps 2 and 3 from Scenario A.

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Running and Checking Results

• Click Run manually.
• The workflow will iterate through each name, perform the search, navigate, and extract.
• Check the results in “View as sheet”. You should have a row for each person with their extracted LinkedIn details.