PrepLadder APIprepladder.com ↗
Access PrepLadder NEET PG study material articles and extract structured MCQ questions with options A–D and answers from previous year papers.
What is the PrepLadder API?
The PrepLadder API exposes 2 endpoints for searching NEET PG study material articles and extracting structured MCQ questions from previous year question papers. search_questions returns paginated article listings with titles, categories, and URL paths, while get_article_questions fetches a specific article and returns each question with four labeled options and the correct answer.
curl -X POST 'https://api.parse.bot/scraper/49406171-ec4e-406e-9aa2-d64f1b239f91/search_questions' \
-H 'X-API-Key: $PARSE_API_KEY' \
-H 'Content-Type: application/json' \
-d '{
"page": "1",
"query": "anatomy"
}'Typed, relational, agent-ready
A generated client with real types, enums, and the links between objects — the structure a flat JSON response can't carry. Autocompletes in your editor and reads cleanly to coding agents.
- Fully typed · autocompletes
- Objects link to objects
- Typed errors & pagination
Typed Python client. Set up the SDK in your uv project, then pull this API’s typed client:
uv add parse-sdk uv run parse init uv run parse add --marketplace prepladder-com-api
uv run parse add --marketplace pulls a pinned snapshot of this canonical API — it won’t change underneath you. To customize it, subscribe and swap to your own copy.
"""Walkthrough: PrepLadder NEET PG API — search articles and extract MCQ questions."""
from parse_apis.PrepLadder_NEET_PG_API import PrepLadder, ArticleNotFound
client = PrepLadder()
# Search for study material articles by subject keyword
for article in client.articles.search(query="pharmacology", limit=3):
print(article.title, article.category, article.date)
# Drill into a specific article to extract its structured MCQ questions
article = client.articles.search(query="anatomy", limit=1).first()
if article:
for q in article.questions.list(limit=5):
print(q.question[:80], "|", q.option_a, "|", q.option_b, "|", q.option_c, "|", q.option_d, "|", q.answer)
# Handle a non-existent article path gracefully
try:
bad_article = client.article(url_path="neet-pg-study-material/nonexistent-article")
for q in bad_article.questions.list(limit=1):
print(q.question)
except ArticleNotFound as exc:
print(f"Article not found: {exc.url_path}")
print("exercised: articles.search / article.questions.list / ArticleNotFound error handling")
Search PrepLadder NEET PG study material articles by keyword. Returns paginated article results matching the query, including title, category, date, URL path, and content preview. Each article may contain multiple MCQ questions. Use get_article_questions with the returned url_path to extract structured questions.
| Param | Type | Description |
|---|---|---|
| page | integer | Page number for pagination, starting from 1. |
| queryrequired | string | Search keyword or phrase to find relevant study material articles (e.g. 'anatomy', 'pharmacology', 'deltoid ligament'). |
{
"type": "object",
"fields": {
"page": "integer",
"articles": "array of article objects with id, title, date, category, url_path, content_preview, image",
"total_count": "integer",
"total_pages": "integer"
},
"sample": {
"page": 1,
"articles": [
{
"id": 53624,
"date": "Sep 23 2025",
"image": "https://image.prepladder.com/prepladder/2025/09/23103747/Rapid-Revision-Reignite-Anatomy.webp",
"title": "Rapid Revision Reignite Anatomy: Question-Answer Format",
"category": "anatomy",
"url_path": "neet-pg-study-material/anatomy/rapid-revision-reignite-anatomy-question-answer-format",
"content_preview": "Types of Joints and EpiphysisBig Question 1: What are the types of joints in the human body?..."
}
],
"total_count": 489,
"total_pages": 48
}
}About the PrepLadder API
Searching NEET PG Study Material
The search_questions endpoint accepts a required query string — such as 'anatomy', 'pharmacology', or 'cardiology' — and an optional page integer for pagination. The response includes total_count, total_pages, and an articles array. Each article object contains id, title, date, category, url_path, content_preview, and image. The url_path field is what you pass to the second endpoint to retrieve the full question set.
Extracting Structured MCQ Questions
The get_article_questions endpoint takes a url_path string (as returned by search_questions) and returns url, total_questions, and a questions array. Each question object carries the question text, option_a through option_d, and an answer field indicating the correct choice. This structure maps directly to the four-option single-best-answer format used in NEET PG examinations.
Coverage and Scope
The API covers articles published under PrepLadder's NEET PG previous year question paper section, spanning multiple medical subjects. Articles are categorized and dated, so you can filter search results by subject by adjusting the query parameter. Pagination lets you walk through large result sets by incrementing the page parameter from 1.
The PrepLadder API is a managed, monitored endpoint for prepladder.com — not a raw scraper you maintain. Every endpoint is automatically health-checked on a schedule, and when prepladder.com changes and a check fails, the API is automatically queued for repair and re-verified. It is built to keep working as the site underneath it changes.
This isn't an official prepladder.com API — it's an independent, maintained REST wrapper over public data. Where the source has no official API (or only a limited one), Parse gives you a stable contract over a source that never promised one, and keeps it current. Need a new endpoint or field? You can revise it yourself in plain English and the agent rebuilds it against the live site in minutes — contributing the change back to the shared API is free.
Will this API break when the source site changes?+
Is this an official API from the source site?+
Can I fix or extend this API myself if I need a new endpoint or field?+
What happens if I call an endpoint that has an issue?+
- Build a subject-wise MCQ quiz app using questions filtered by
query(e.g., 'pharmacology') fromsearch_questions - Aggregate NEET PG previous year questions by category to identify high-frequency topics across subjects
- Automatically populate a flashcard deck using the
question,option_a–option_d, andanswerfields fromget_article_questions - Track publication dates via the
datefield to surface the most recently added question paper articles - Cross-reference
content_previewsnippets to shortlist relevant articles before fetching full question sets - Build a mock test engine that presents randomly ordered options from structured MCQ objects returned per article
| Tier | Price | Credits/month | Rate limit |
|---|---|---|---|
| Free | $0/mo | 100 | 5 req/min |
| Hobby | $30/mo | 1,000 | 20 req/min |
| Developer | $100/mo | 5,000 | 100 req/min |
One credit = one API call regardless of which marketplace API you call. Exceeding the rate limit returns a 429 response. Authenticate with the X-API-Key header.
Does PrepLadder have an official developer API?+
What does `get_article_questions` return for each question?+
questions array contains the full question text, four answer options labeled option_a through option_d, and an answer field indicating the correct choice. The total_questions field tells you how many MCQs were found in that article.Does the API cover subjects beyond NEET PG previous year papers, such as NEET SS or FMGE material?+
How does pagination work in `search_questions`?+
total_pages and total_count so you know the full result size. Start with page: 1 and increment up to total_pages. If a query returns zero results, try a broader or differently spelled subject keyword.Are explanations or solution rationales included with each MCQ?+
get_article_questions response returns the question text, four options, and the correct answer only — detailed explanations are not a returned field. You can fork this API on Parse and revise it to extract explanation content if it is present in the source article.