# Semantic Scholar Papers Scraper (`scrapers_lat/semantic-scholar-scraper`) Actor
Scrape academic papers with title, year, venue, citation count, authors, DOI, abstract and a direct link. Search by keyword. Export to JSON, CSV or Excel.
- **URL**: https://apify.com/scrapers\_lat/semantic-scholar-scraper.md
- **Developed by:** [Scrapers Lat](https://apify.com/scrapers_lat) (community)
- **Categories:** Business, Developer tools, Other
- **Stats:** 2 total users, 1 monthly users, 92.9% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet
## Pricing
from $6.80 / 1,000 results
This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.
Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event
## What's an Apify Actor?
Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".
## How to integrate an Actor?
If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.
- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).
For usage examples, see the [API](#api) section below.
For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).
# README
## Semantic Scholar Papers Scraper
> Search and export academic papers as clean structured data: title, year, venue, citation count, authors, DOI and abstract.
**📥 [Input](https://apify.com/scrapers_lat/semantic-scholar-scraper/input-schema) · 📤 [Output](https://apify.com/scrapers_lat/semantic-scholar-scraper/output-schema) · 💰 [Pricing](https://apify.com/scrapers_lat/semantic-scholar-scraper/pricing) · ▶️ [Examples](https://apify.com/scrapers_lat/semantic-scholar-scraper/examples)**
Citations & authors per paper
Venue & abstract plus DOI
JSON / CSV / Excel output formats
### Who is it for
| Use case | Who benefits |
|---|---|
| Literature reviews | Researchers gathering papers on a topic |
| Bibliometrics | Analysts studying citations and venues |
| AI and NLP | Teams building datasets from titles and abstracts |
| Discovery | Anyone finding influential papers by keyword |
### How to use it
1. Enter a **search query** (a topic, method or keyword).
2. Set **Max Items** and run.
3. Export as JSON, CSV or Excel, or pull it through the Apify API.
### Frequently Asked Questions
**What does the search match?**
The search looks across titles and abstracts and returns the most relevant papers for your query.
**Do records include the abstract and citations?**
Yes. Each record includes the abstract where available, the citation count, the venue and the authors.
**Can I get the DOI?**
Yes, where available, along with the arXiv identifier for preprints.
**How fresh is the data?**
Records are read live at run time, so each reflects the index at the moment of the run (see observedAt).
### Example use cases
Ready-to-run example tasks, each preconfigured for a common scenario. Open one and press run, or use it as a template:
- [Large Language Models papers from Semantic Scholar](https://apify.com/scrapers_lat/semantic-scholar-scraper/examples/ss-large-language-models-papers): Search Semantic Scholar for large language models papers with titles, authors, abstracts, citation counts, venues, and open access PDF links.
- [Transformer Architecture papers from Semantic Scholar](https://apify.com/scrapers_lat/semantic-scholar-scraper/examples/ss-transformer-architecture-papers): Search Semantic Scholar for transformer architecture papers with titles, authors, abstracts, citation counts, venues, and open access PDF links.
- [Reinforcement Learning papers from Semantic Scholar](https://apify.com/scrapers_lat/semantic-scholar-scraper/examples/ss-reinforcement-learning-papers): Search Semantic Scholar for reinforcement learning papers with titles, authors, abstracts, citation counts, venues, and open access PDF links.
- [Graph Neural Networks papers from Semantic Scholar](https://apify.com/scrapers_lat/semantic-scholar-scraper/examples/ss-graph-neural-networks-papers): Search Semantic Scholar for graph neural networks papers with titles, authors, abstracts, citation counts, venues, and open access PDF links.
- [Protein Structure Prediction papers from Semantic Scholar](https://apify.com/scrapers_lat/semantic-scholar-scraper/examples/ss-protein-structure-prediction-papers): Search Semantic Scholar for protein structure prediction papers with titles, authors, abstracts, citation counts, venues, and open access PDF links.
- [Climate Change Modeling papers from Semantic Scholar](https://apify.com/scrapers_lat/semantic-scholar-scraper/examples/ss-climate-change-modeling-papers): Search Semantic Scholar for climate change modeling papers with titles, authors, abstracts, citation counts, venues, and open access PDF links.
- [Gene Editing CRISPR papers from Semantic Scholar](https://apify.com/scrapers_lat/semantic-scholar-scraper/examples/ss-gene-editing-crispr-papers): Search Semantic Scholar for gene editing crispr papers with titles, authors, abstracts, citation counts, venues, and open access PDF links.
- [Natural Language Processing papers from Semantic Scholar](https://apify.com/scrapers_lat/semantic-scholar-scraper/examples/ss-natural-language-processing-papers): Search Semantic Scholar for natural language processing papers with titles, authors, abstracts, citation counts, venues, and open access PDF links.
- [Computer Vision papers from Semantic Scholar](https://apify.com/scrapers_lat/semantic-scholar-scraper/examples/ss-computer-vision-papers): Search Semantic Scholar for computer vision papers with titles, authors, abstracts, citation counts, venues, and open access PDF links.
- [Quantum Machine Learning papers from Semantic Scholar](https://apify.com/scrapers_lat/semantic-scholar-scraper/examples/ss-quantum-machine-learning-papers): Search Semantic Scholar for quantum machine learning papers with titles, authors, abstracts, citation counts, venues, and open access PDF links.
### Related scrapers
- [OpenAlex Scholarly Works Scraper](https://apify.com/scrapers_lat/openalex-scraper)
- [Crossref Scholarly Metadata Scraper](https://apify.com/scrapers_lat/crossref-scraper)
- [PubMed Articles Scraper](https://apify.com/scrapers_lat/pubmed-scraper)
### More scrapers at scrapers.lat
This actor is built and maintained by [scrapers.lat](https://scrapers.lat), where we publish scrapers for public platforms: finance, news, real estate, jobs, e-commerce and government data. Browse the full catalog or ask us for a custom scraper at [scrapers.lat](https://scrapers.lat).
***
> This actor is an independent tool and has no affiliation with Semantic Scholar. It only accesses publicly available data. Use the results in accordance with the source's terms.
# Actor input Schema
## `maxPapers` (type: `integer`):
Maximum number of papers to collect. Optional.
## `searchQuery` (type: `string`):
Keyword to search academic papers by title and abstract (for example 'large language models', 'gene therapy', 'quantum computing').
## Actor input object example
```json
{
"maxPapers": 50,
"searchQuery": "large language models"
}
```
# Actor output Schema
## `results` (type: `string`):
No description
# API
You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.
## JavaScript example
```javascript
import { ApifyClient } from 'apify-client';
// Initialize the ApifyClient with your Apify API token
// Replace the '' with your token
const client = new ApifyClient({
token: '',
});
// Prepare Actor input
const input = {
"maxPapers": 50,
"searchQuery": "large language models"
};
// Run the Actor and wait for it to finish
const run = await client.actor("scrapers_lat/semantic-scholar-scraper").call(input);
// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
console.dir(item);
});
// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs
```
## Python example
```python
from apify_client import ApifyClient
# Initialize the ApifyClient with your Apify API token
# Replace '' with your token.
client = ApifyClient("")
# Prepare the Actor input
run_input = {
"maxPapers": 50,
"searchQuery": "large language models",
}
# Run the Actor and wait for it to finish
run = client.actor("scrapers_lat/semantic-scholar-scraper").call(run_input=run_input)
# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)
# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start
```
## CLI example
```bash
echo '{
"maxPapers": 50,
"searchQuery": "large language models"
}' |
apify call scrapers_lat/semantic-scholar-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=scrapers_lat/semantic-scholar-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
Download the OpenAPI definition: https://api.apify.com/v2/acts/KpcQsPWtO0dQhJjwk/builds/ifOnu7kenSyYuCwT9/openapi.json