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: Jordan Matthews10Email: jordan.matthews@samplemail.com11Phone: +1 (206) 555-017312Location: Seattle, WA13LinkedIn: linkedin.com/in/jordan-matthews-data14Summary: Data scientist with eight years of experience building production-grade machine learning systems for fraud detection and customer analytics. Led cross-functional teams delivering models that reduced chargebacks by 18% and improved lead scoring accuracy by 22%. Skilled at translating business goals into deployable models with clear monitoring.15Experience: Senior Data Scientist — Stripe (2021–Present): Designed real-time risk models using transaction and behavioral signals; partnered with engineering to ship models with feature stores and continuous evaluation. Data Scientist — Dropbox (2017–2021): Built churn prediction pipelines, delivered uplift models for trials, and launched dashboards tracking retention KPIs. Junior Data Scientist — Zillow (2015–2017): Implemented pricing signal features and collaborated with analysts on A/B experiments.16Education: M.S. in Statistics — University of Washington (2015)17Skills: Python, TypeScript, SQL, Spark, Airflow, Docker, Kubernetes, feature stores, experiment design, ML observability, graph features18Certifications: AWS Machine Learning Specialty (2023)"""],19 "applicationFileUrl": [],20}21
22# Run the Actor and wait for it to finish23run = client.actor("parseforge/applicant-authenticity-analyzer").call(run_input=run_input)24
25# Fetch and print Actor results from the run's dataset (if there are any)26print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])27for item in client.dataset(run["defaultDatasetId"]).iterate_items():28 print(item)29
30# 📚 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: