Hi guys, has anyone build a Linked In Profile Extraction prompt that opperates similar to how the clay “Enrich linked in profile” enrichment works? Surley this can be done via gpt 4o at a fraction of the cost of a clay credit?
Not a prompt, but I’m building an API that does this for a fraction of a cost ($30 for 10k profiles). And the output would look something like this. In your case the profile wasn’t fully scrapable, in other situations it is. Let me know if you wanna give it a try.
{
"personalInfo": {
"name": "Carl Weaver",
"currentTitle": "******* / *****ä****ü**** :rocket: :unicorn_face:",
"location": "Germany",
"connections": "500+"
},
"summary": "We are tech recruitment experts specialising in finding the top 5% of tech talent in the…",
"experience": [
{
"company": "Core Tech Recruitment",
"position": "******* / *****ä****ü**** :rocket: :unicorn_face:",
"location": "Germany",
"isCurrent": true,
"description": "****.**@****-****-***********.*** - +** ** ********\n\nSpecializing in senior talent, focusing on finding top tech talent. Work with companies ranging from startups to established businesses and help them build their tech teams.",
"responsibilities": [
"Technical recruitment",
"Team building",
"Talent acquisition",
"Client relationship management"
]
},
{
"company": "***** ***********",
"position": "*********** **********",
"location": "London, England, United Kingdom",
"description": "Worked as a recruitment consultant with focus on placing technology candidates. Managed client relationships and achieved significant placements."
},
{
"company": "***** ***********",
"position": "****** *********",
"location": "Manchester, United Kingdom",
"description": "Worked as a junior tech recruiter in a fast-paced agency environment."
},
{
"company": "***** ***********",
"location": "Manchester, United Kingdom",
"description": "Initial role in tech recruitment industry, focusing on entry-level technology positions."
}
],
"education": [
{
"institution": "Carlett Park College",
"startYear": 2008,
"endYear": 2010
}
],
"skills": [
"Technical Recruitment",
"Talent Acquisition",
"Team Building",
"Client Relationship Management"
],
"technicalExpertise": [
"C++", "Java", "Python", "Ruby", "PHP", "NodeJS", "React", "Angular", "Vue.js", "AWS", "Kubernetes", "Docker", "CI/CD", "Microservices", "DevOps", "Agile", "Scrum", "Cloud Computing", "Blockchain", "AI", "Machine Learning", "Artificial Intelligence (AI)", "Big Data", "NoSQL", "Cybersecurity", "IoT", "Fullstack"
],
"languages": [],
"awards": [],
"interactionStatistic": {
"follows": 11314
}
}We’re doing it async because we’re never 100% sure that we can return the call immediately and we don’t want to keep that call open for too long. How it works is you make the call in one column, you receive an id back which you can use to make a second call in another column and that will provide the response. It usually takes a minute or two to do it, but we can definitely do a lot more than 50 profiles per minute :)
Thanks for the extra info, I’d love to test it out if it’s available
Cool, sending you a DM
Carl W. you can do this with Apify no problem! https://apify.com/pratikdani/linkedin-people-profile-scraper
Just connect it with a Clay HTTP API request, works great1
Just search for “LinkedIn profile scraper” in their directory
i cant work out the pricing to see if any are cheaper or not, they say things like 49.00/month + usage but whats the usage
It depends on the compute you use when running these actors in Apify – but I believe it can be significantly cheaper in bulk