Let’s say you’re building a hiring tool, a sales prospecting workflow, or an investor due-diligence dashboard. At some point you hit the same wall: you have a name or a Profile URL, and you need to know what this person has actually done, their work history, their skill set, maybe their education. Doing this by hand means opening profiles, scrolling, and copy-pasting into a spreadsheet. That doesn’t scale past a handful of profiles.
This is exactly what person enrichment API exist to solve. Give it a profile identifier, get back a structured profile with experience, skills, and the rest of it in a beautiful JSON format, ready to drop into your database or app.
Here’s how to actually do it.
Why do you need EnrichmentAPI?
A few reasons people reach for EnrichmentAPI instead of building this in-house:
No scraping infrastructure to maintain. No proxies, no headless browsers, no CAPTCHA-solving, no getting your IPs blocked. We deal with all of that on our end.
Structured, consistent JSON. You get the same schema back every time. Experience, skills, education,instead of raw HTML you have to parse and keep re-parsing as the source page changes.
Speed to ship. With just one API call you get the data you were always looking for.
Predictable, pay-per-call pricing. No servers to run, no proxy bills, no engineering time sunk into maintenance, just credits per successful request.
Retry logic built in. Requests are automatically retried for up to 60 seconds, and you’re not charged for the ones that ultimately fail.
Basically: it’s the difference between owning a enrichment pipeline and just calling an endpoint.
What you need
A trial account on EnrichmentAPI. You can sign up from here. You will get 50 free credits (No CC required).
I hope you have already installed python 3.x on your machine. If not then you can download it from here.
InstallÂ
**requests**Â for making the HTTP connection with the person API. You can install it using the commandÂ**pip install requests**Â in your terminal.
That’s it. No browser automation, no proxies, no getting your IP flagged by bot detection. We handle the scraping and parsing on our end.
Extracting experience and skills
Before you begin coding, I recommend reading the documentation. You can also enter the profile URL on the dashboard to get ready-to-use Python or Node.js code.
1import requests2 3resp = requests.get(4 "https://api.enrichmentapi.io/person",5 params={6 "api_key": "your-api-key",7 "profile_id": "rahul-patil-a0944836",8 },9)10print(resp.json())<br>In this python code we are making a GET request to the **/person** endpoint and we are passing two parameters to this request. One is the secret API key and second paramter is the unique profile ID of the target person. Do not forget to replace the API key in the above code with your personal key.
Once you make the GET request you will get this beautiful JSON response.

This JSON data has the full experience history of the target prospect and you will also get a skills array.
You can even click on the profile view button to see the data.
Where this actually gets used
A few patterns we see from people using this in production:
Recruiting tools — auto-fill a candidate’s work history and skills the moment they paste in a profile URL, instead of asking them to re-type their resume.
Sales and prospecting — enrich a lead list with role, tenure, and skill data to prioritize outreach or personalize a pitch.
Investor and partner due diligence — quickly pull the professional background of founders or execs before a call.
Internal people-ops tools — keep an employee or alumni database current without manual updates.
Conclusion
For getting clean structured data of someone’s work history can be easily done using python and enrichmentapi. With a simple GET request you get the full work record of any individual.
Whether you want to enrich few hundred prospects or a million, EnrichmentAPI can help you with the seamless data pipeline.