Pricing
Pay per event
Upload resumes, cover letters, or job application text to detect potential fraud. The actor extracts text from PDF/DOCX/TXT files, evaluates authenticity with OpenAI, and returns a verdict, score, and justification.
You can access the Applicant Authenticity Analyzer programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
1from apify_client import ApifyClient2
3# Initialize the ApifyClient with your Apify API token4# Replace '<YOUR_API_TOKEN>' with your token.5client = ApifyClient("<YOUR_API_TOKEN>")6
7# Prepare the Actor input8run_input = {9 "applicationText": ["Name: Laura G. Rivera Email: laura.rivera.tech@gmail.com Phone: +1 (415) 782-4319 LinkedIn: linkedin.com/in/laura-rivera-tech Location: San Francisco, CA Professional Summary: Software engineer with over seven years of experience designing cloud-native backend systems. Focused on reliability, performance, and clean architecture. Laura has led the development of payment APIs, deployment pipelines, and data services used by thousands of users daily. She combines strong technical depth with a collaborative mindset, helping teams deliver robust and scalable products. Experience: Senior Backend Engineer — Atlassian (Jan 2021 – Present): Designed and implemented microservice clusters for Jira Cloud handling more than 10M daily requests. Spearheaded an observability project that unified metrics, tracing, and logging across teams. Reduced infrastructure costs by 22% through optimized Kubernetes resource allocation and auto-scaling policies. Software Engineer — Stripe (Feb 2018 – Dec 2020): Built secure payment processing APIs in Node.js and Go for international merchants. Created an internal transaction reconciliation system that increased accuracy by 18%. Collaborated with fraud detection teams to deploy event-driven pipelines for anomaly scoring in near real time. Backend Developer — ThoughtWorks (Jul 2016 – Jan 2018): Developed RESTful APIs for logistics and e-commerce clients. Introduced automated integration testing frameworks that reduced production defects by 40% and improved delivery speed. Education: Bachelor of Science in Computer Engineering — Stanford University, Graduated 2016 Skills: Go, Node.js, TypeScript, PostgreSQL, Redis, Docker, Kubernetes, AWS, Terraform, CI/CD, Microservices, REST, GraphQL Certifications: AWS Certified Solutions Architect – Professional (2023), Kubernetes Administrator (CKA) (2022), Advanced Go Programming (2021)"],10 "applicationFileUrl": [],11}12
13# Run the Actor and wait for it to finish14run = client.actor("parseforge/applicant-authenticity-analyzer").call(run_input=run_input)15
16# Fetch and print Actor results from the run's dataset (if there are any)17print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])18for item in client.dataset(run["defaultDatasetId"]).iterate_items():19 print(item)20
21# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startThe Apify API client for Python is the official library that allows you to use Applicant Authenticity Analyzer API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: