
NHS Jobs Scraper & AI Personalized Cover Letter Generator
Pricing
Pay per event

NHS Jobs Scraper & AI Personalized Cover Letter Generator
NHS Jobs Scraper & AI Cover Letter Generator automatically scrapes NHS job listings, extracts key details, and uses AI to generate personalized cover letters. It’s fast, automated, and ATS-optimized. Ideal for job seekers in the healthcare sector. More portals/features coming soon! 🚀
0.0 (0)
Pricing
Pay per event
0
Monthly users
1
Runs succeeded
>99%
Last modified
13 days ago
NHS Jobs Scraper & AI Cover Letter Generator
NHS Jobs Scraper & AI Cover Letter Generator 🚀
What It Does
- 🔍 Scrapes NHS Job Listings – Automatically fetches job postings from the NHS job portal.
- 📄 Extracts Key Details – Gathers job titles, descriptions, requirements, and locations.
- 📝 Generates Personalized Cover Letters – Uses AI to tailor cover letters based on job details and user input.
Key Features
- ✅ Fast & Automated – Saves time by eliminating manual job searching.
- ✅ Custom-Tailored Letters – AI adapts cover letters to highlight relevant skills.
- ✅ Optimized for NHS Jobs – Ensures ATS-friendly formatting and keywords.
🎯 Ideal for job seekers looking to apply quickly and efficiently in the healthcare sector!
The agent uses gpt-4o-mini model, and it expects a valid OPENAI API key to be set in the environment variable OPENAI_API_KEY
.
Input
The agent has two input:
url
: (required): The URL of the NHS job listings search page.aboutMe
: (required): A brief description of the user's skills and experience to be included in the cover letter.OPENAI_API_KEY
: (required): The OpenAI API key to use
Note that this was developed as a part of Apify AI agents hackathon.
Output
The agent returns a JSON object with the following structure:
1[ 2 { 3 "job_url": "string", 4 "cover_letter": "string", 5 } 6]
Example:
1[ 2 { 3 "job_url": "https://www.jobs.nhs.uk/candidate/jobadvert/C9325-25-0181", 4 "cover_letter": "Dear Olivia Southwell, I am writing to express my interest in the 8a Principal Clinical/Counselling Psychologist/Psychotherapist position at Surrey and Borders Partnership NHS Foundation Trust. With my Doctorate in Clinical Psychology and extensive experience working with personality disorders, I am well-prepared to contribute to your Psychologically Informed Consultation and Training Team. I have a solid background in providing training and consultation to multidisciplinary teams, which aligns with the duties of this role. I am particularly impressed by your commitment to enhancing the understanding of personality disorders and supporting clinicians across various sectors. I look forward to the opportunity to bring my skills in clinical supervision and co-production to your esteemed Trust. Thank you for considering my application. Sincerely, Abdelaziz" 5 }, 6 { 7 "job_url": "https://www.jobs.nhs.uk/candidate/jobadvert/C9290-25-0347", 8 "cover_letter": "Dear Daniel Dennis, I am excited to apply for the Medical Education Service Manager position at Imperial College Healthcare NHS Trust. With my background in managing educational programs and a degree in management, I am eager to support the development of medical education across your Trust. My experience in leading teams and my familiarity with medical education matters make me a strong candidate for this role. I am particularly drawn to your commitment to career development and flexible working opportunities for staff. I am passionate about promoting high-quality training programs and would love to contribute to your team's success. Thank you for considering my application. Best regards, Abdelaziz" 9 } 10]
More job portals and features will be added soon (depending on demand and bandwidth). Stay tuned! 🚀
Pricing
Pricing model
Pay per eventThis Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Price for Actor start
$0.010
Flat fee for starting an Actor run.
Price for calling the job portal search scraping tool
$0.040
Flat fee for calling the job portal search scraping tool.
Price for pushing the result to the dataset
$0.030
Flat fee for pushing the result to the dataset.