# Semantic Scholar Scraper — example run

**Use case:** 

Ready-to-run Semantic Scholar Scraper. Search 200M+ papers on Semantic Scholar and get clean metadata: abstracts, AI-written TLDR summaries, citation and…

## Input

```json
{
  "searchQueries": [
    "retrieval augmented generation"
  ],
  "paperIds": [
    "10.18653/v1/N19-1423",
    "arXiv:1706.03762"
  ],
  "fields": [
    "abstract",
    "tldr",
    "authors",
    "openAccessPdf",
    "fieldsOfStudy",
    "publicationTypes",
    "journal"
  ],
  "includeCitations": false,
  "year": "2020-2026",
  "minCitationCount": 0,
  "openAccessOnly": false,
  "maxResults": 100,
  "apiKey": "***"
}
```

## Output

```json
{
  "title": {
    "label": "Title"
  },
  "year": {
    "label": "Year"
  },
  "venue": {
    "label": "Venue"
  },
  "citationCount": {
    "label": "Citations"
  },
  "influentialCitationCount": {
    "label": "Influential"
  },
  "isOpenAccess": {
    "label": "Open access"
  },
  "doi": {
    "label": "DOI"
  },
  "url": {
    "label": "S2 page"
  }
}
```

## About this Actor

This example demonstrates how to use [Semantic Scholar Scraper: Papers, Citations & Influence](https://apify.com/arman-bd/semantic-scholar-scraper) with a specific input configuration. Visit the [Actor detail page](https://apify.com/arman-bd/semantic-scholar-scraper) to learn more, explore other use cases, and run it yourself.


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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.
This Task's input is already configured above — use it as-is rather than inventing a new one.

- **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 full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/arman-bd/semantic-scholar-scraper.md

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).
