Which API would you reccomment for LinkedIn usage? OpenAI oder Claude? I want them to filter information from profiles. Also which payed version is suitable for that?
For filtering profile information, use Claygent - our AI web scraper that can access live profile data. OpenAI's API can't scrape live data from the internet.
With Claygent, you can analyze profiles using custom prompts. Simple yes/no questions use 1 credit, while deeper analysis needs 2-3 credits per profile. [1] The credit cost depends on research complexity, not the AI model type.
Start with 10 rows to test your approach before scaling up.
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OpenAI was working quite well until now. I saw some changes in the last days.
OpenAI's API can't access live profile data from the internet - it only uses data from its training. For real-time profile filtering, you need Claygent or "Enrich Person from Profile" which pulls current information directly from profiles. [1]
If you're seeing changes, it might be because third-party data gets refreshed every 2-3 weeks and isn't always current. Switch to live enrichment tools for the most up-to-date results.
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I will try, thank you. Is OpenAI oder Claude better for individual messaging?
Both OpenAI and Claude (Anthropic) work well for individual messaging in Clay. We have native integrations with both models for generating personalized LinkedIn messages and emails. [1]
Try both and see which output style you prefer for your messaging tone.
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thank you
Glad I could help. Let me know if you need anything else.
Use B2b enrichment tool to enrich profiles if you have linkedin That tool is good and easy with integration by using API call
Yes, we have several enrichment tools for profiles. The "Enrich Person from Profile" integration works great with profile URLs - just provide the URL and it pulls comprehensive details. [1]
All these integrate easily through our API and enrichment columns. Which specific data points are you looking to enrich?
If you still need help with choosing or using the enrichment tools, I’m here to assist. Would you like to provide more details about the specific data points or use cases you want to address?
Hey Georgios K. If you want to parse LinkedIn-style profile data, I’d go with OpenAI’s API it’s better for text-analysis and structuring unstructured info. Use a paid tier with enough tokens to handle long profile info like GPT 4 level. Claude is okay too but OpenAI is generally stronger for that kind of parsing.
For parsing profile data in Clay, use Claygent instead of external APIs. OpenAI's API can't access live profile data - it only uses training data.
Claygent pulls real-time information directly from profiles and handles the parsing automatically. Simple analysis uses 1 credit, deeper research needs 2-3 credits per profile. [1]
If you need OpenAI integration, you'll need tier 2 API access with sufficient usage limits for reliable performance.
