Extracting Key Messaging from LinkedIn Ad Library Data | Clay

Extracting Key Messaging from LinkedIn Ad Library Data

I extracted the text from someone's account on their LinkedIn ad library. I'd like to know what copy they're running on their ads but obviously when scraping it scraped a ton of additional text. How do I create a column that pulls out the key messaging that the advertisers are running from the large block of text I retrieved?

6 comments

Channeled
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You can use Clay's AI formulas to extract the key messaging from your scraped LinkedIn ad text. AI formulas are credit-free tools that help format, clean, and reshape your data exactly how you want it.Here's how to do it: 1. Use the "Extract Values from Data" integration in Clay to pull out specific information from your text block 2. When setting up the extraction: • Input your scraped text in the "Data" field • Specify what type of information you want to extract in the "Extraction Type" fieldThis approach is more efficient and cost-effective than using the AI integration, especially when working with large tables, as it can save you hundreds or thousands of credits. Sources: AI Formulas + Conditional Runs [CRM Enrichment] - Clay University Extract Values from Data with Clay We Made 24 Prompts So You Don’t Have To [Automated Outbound] - Clay University
Maya H.
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why does it say it will cost 3 credits per row?
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The 3 credits per row cost applies when using the GPT-4 model with Clay's AI integration. This is because we have to pay for access to OpenAI's API to process your data.However, you can avoid these credit charges by: 1. Using your own OpenAI API key - if you connect your own API key, you can use the AI features in Clay free of charge 2. Using AI formulas instead - these are credit-free tools that can help you format, clean, and reshape your dataAs a general principle, Clay only charges credits for data points where we have to pay a cost for access or use, such as AI processing, company revenue data, or LinkedIn profile enrichment. Sources: Claygent (AI Web Researcher) with Artificial Intelligence Credits Calculator | Clay.com Which actions cost credits (or are free)? - FAQ | Clay.com AI Formulas + Conditional Runs [Clay 101] - Clay University
Maya H.
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what if a website scrape returns a body text too large to create its own field? is it unusable or is there a workaround?
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When scraping websites, you can use two approaches to handle large body text: 1. Use the "Output Fields" parameter to selectively choose which fields you want to receive in your output data. This helps limit the data to just what you need. 2. If you specifically need the body text but want to exclude non-essential content that might be making it too large, you can use the default setting which automatically removes scripts, styles, and images from the returned text.If you do need to keep all content including non-text elements, you can set the "Keep Non-Text in Body" parameter to true, but be aware this will increase the size of the returned data. Source: Scrape Website with Clay
Channeled
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