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Mastering LinkedIn Ads Scraping with Clay & Apify

Table of Contents

Unlocking the potential of LinkedIn ads can propel your marketing strategies forward. In this session, we delve into the mechanics of scraping LinkedIn’s ad library using the powerful combination of Clay and Apify. Here’s how to make the most of it!

🚀 Why Scrape LinkedIn Ads?

In today’s competitive landscape, understanding your competition is paramount. LinkedIn carries a wealth of advertising insights that can inform your strategies, offering a glimpse into what your competitors are promoting and how effectively they do it. Gathering this data allows you to refine your marketing approaches and seize opportunities.

🛠️ Getting Started: Tools You Need

Before we plunge into the technicalities, make sure to have the following in place:

  • 🥇 Clay: A data platform that connects various services allowing you to automate and streamline your data searches.
  • 🌐 Apify: A cloud-based web scraping service that will help you gather and process data from the LinkedIn ad library.
  • 📋 LinkedIn Company Name & URL: You need these to target your scraping effectively.

📊 Key Steps to Scrape LinkedIn Ads

1. Understanding the LinkedIn Ad Library’s Limitations

Unlike Facebook’s robust ad library, LinkedIn’s scraping functionality is a bit tricky. Here’s what you need to know:

  • Searching typically returns variable results depending on how you input company names.
  • Use the company’s name and website together for optimal searching.
  • Spaces in company names must be replaced with a plus sign (+) for LinkedIn to interpret them correctly.

2. Setting Up Your Clay & Apify Connection

To begin scraping:

  1. Connect your Apify account with Clay.
  2. Select the appropriate ad scraper from Apify’s suite.

🔍 Example Search Process

Here’s a quick example to illustrate:

  • If you’re searching for Vanta, construct the query as: Vanta+Inc (assuming “Inc” is part of the company’s displayed name).
  • Once you fetch data, you’ll see the number of ads Vanta is running, allowing further analysis.

Surprising Insight:

Businesses like American Express might have multiple agencies running ads simultaneously. Keep an eye out for that detail in the results.

3. Filtering the Results

Once you get the data back from Apify, it’s crucial to filter through:

  • Impressions Count: Determine which ads are performing well based on the number of impressions.
  • Click URL: This helps you ensure the ads link back to the correct company page.

💡 Practical Tips for Effective Scraping

  • Test Your Queries: Before heavy lifting, test with known companies to validate your process.
  • Iterate Your Searches: If results don’t come out as expected, tweak the keywords or switch up the query structure until you hit the jackpot.
  • Data Normalization: Simplify your data for easier analysis later, especially when running multiple queries.

🚨 Common Edge Cases to Keep in Mind

While the scraping process is relatively straightforward, keep an eye on certain edge cases:

  • Name Variations: Some companies might have different names in their ads versus their official listings (e.g., Pilot.com vs. Pilot).
  • Agency vs. Advertiser Confusion: Understand who the real advertiser is. For instance, ads may be listed under marketing agencies instead of direct company ads.

🔗 Additional Resources for Success

Further your understanding and enhance your skills with these invaluable resources:

  1. ClayGet your free trial here.
  • Start exploring with 3000 free credits after upgrading.
  1. Growth Engine XSocial Proof Deck.
  • Discover their successful campaigns that utilized similar methods.
  1. TallyApplication for Campaign Launch.
  • If you’re interested in a free campaign, fill out this application to see how they can help.
  1. LinkedIn Ad Library Insights – Explore it directly for firsthand experience.
  • Learn about ad formats, effectiveness, and audience targeting.

🔚 Embrace Continuous Learning

Scraping data from LinkedIn ads is an actionable approach to gaining deep insights about competitors. By utilizing Clay and Apify effectively, you can refine your own advertising strategies, targeting mechanisms, and overall outreach efforts.

🌟 Final Thoughts

Equipped with this knowledge, don’t hesitate to experiment with scraping. The more you practice, the better you’ll fine-tune your marketing campaigns based on real-time data from your industry. Remember, the digital landscape is ever-evolving; staying informed is key to remaining competitive!


As you embark on this data-gathering journey, keep an open mind to discovering richer, more nuanced advertising trends, and don’t shy away from sharing your findings with the community!

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