# DOI / PMID / arXiv → Academic Work Markdown (`ingenious_quip_bxq/academic-works-markdown`) Actor

Batch DOI, PubMed PMID and arXiv ids (+ optional keyword queries) → scholarly-work Markdown RAG cards + JSON from public Crossref, OpenAlex, PubMed E-utilities and arXiv APIs. Keyless; optional buyer API keys. Failed / not-found rows free. 256 MB.

- **URL**: https://apify.com/ingenious_quip_bxq/academic-works-markdown.md
- **Developed by:** [新世紀書僮](https://apify.com/ingenious_quip_bxq) (community)
- **Categories:** AI, Developer tools, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $4.00 / 1,000 academic work cards

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## DOI / PMID / arXiv → Academic Work Markdown

Batch-resolve **DOIs, PubMed PMIDs and arXiv ids** (plus optional keyword `queries`) into scholarly-work **Markdown RAG cards** and JSON.

**Sources (public, keyless, HTTPS only):** Crossref REST, OpenAlex, NCBI PubMed E-utilities, arXiv export API. No paywalled PDFs, no LLMs, no scraping.

### Input

- `ids`: DOIs / doi.org URLs, PMIDs, arXiv ids / URLs. `queries`: optional keyword searches.
- `provider`: `auto` (default: DOI→Crossref, PMID→PubMed, arXiv→arXiv, enriched with an exact-id OpenAlex lookup), or force one source.
- Optional **your own** `openAlexApiKey` / `ncbiApiKey` (secret) for higher quotas. `contactEmail` for polite pools.

### Output

- Dataset: one card per work (`overview`, `failed` views).
- KV: `REPORT.md`, `CHUNKS.jsonl`, `SUMMARY`, `OUTPUT`.
- Card sections: **Identity · Authors · Abstract · Bibliometrics · Links · Source**. Only metadata returned by the APIs is shown; citations/counts are never invented.

### Pricing (pay per event)

- Actor start $0.001, **work-card $0.004** per successful card. Invalid, not-found and failed rows are **free**.

License: AGPL-3.0.

### Source code

Open source (AGPL-3.0): https://github.com/xbox002000/academic-works-markdown

# Changelog

This Actor's version history is a separate document: https://apify.com/ingenious_quip_bxq/academic-works-markdown/changelog.md

# Actor input Schema

## `ids` (type: `array`):

DOIs (10.x/… or doi.org URLs), PubMed PMIDs, arXiv ids or URLs. One per line.

## `queries` (type: `array`):

Optional free-text searches (OpenAlex by default; provider-specific otherwise).

## `provider` (type: `string`):

auto = best source per id type + OpenAlex enrichment.

## `enrich` (type: `boolean`):

Add citation counts / OA status via exact-id OpenAlex lookup.

## `includeAbstract` (type: `boolean`):

No description

## `includeBibtex` (type: `boolean`):

Generated from returned metadata only.

## `includeRagChunks` (type: `boolean`):

No description

## `abstractMaxChars` (type: `integer`):

No description

## `maxAuthors` (type: `integer`):

No description

## `searchLimit` (type: `integer`):

No description

## `maxItems` (type: `integer`):

Cap on total cards (0 = unlimited).

## `maxConcurrency` (type: `integer`):

No description

## `maxRetries` (type: `integer`):

No description

## `requestTimeoutSecs` (type: `integer`):

No description

## `contactEmail` (type: `string`):

Sent as mailto to Crossref/OpenAlex/NCBI polite pools. Defaults to a non-personal address.

## `openAlexApiKey` (type: `string`):

Your own OpenAlex key for higher quotas.

## `ncbiApiKey` (type: `string`):

Your own NCBI E-utilities key (10 req/s).

## `datasetId` (type: `string`):

Read ids/queries from a dataset.

## `idField` (type: `string`):

Field name holding the id in dataset/KV items.

## `keyValueStoreId` (type: `string`):

No description

## `keyValueRecordKey` (type: `string`):

No description

## Actor input object example

```json
{
  "ids": [
    "10.1038/nature14539",
    "1706.03762",
    "26017442"
  ],
  "provider": "auto",
  "enrich": true,
  "includeAbstract": true,
  "includeBibtex": true,
  "includeRagChunks": true,
  "abstractMaxChars": 4000,
  "maxAuthors": 100,
  "searchLimit": 5,
  "maxItems": 50,
  "maxConcurrency": 2,
  "maxRetries": 3,
  "requestTimeoutSecs": 30,
  "keyValueRecordKey": "INPUT_WORKS"
}
```

# Actor output Schema

## `results` (type: `string`):

No description

## `reportMarkdown` (type: `string`):

Identity · Authors · Abstract · Bibliometrics · Links · Source

## `chunks` (type: `string`):

No description

## `summary` (type: `string`):

No description

## `output` (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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "ids": [
        "10.1038/nature14539",
        "1706.03762",
        "26017442"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("ingenious_quip_bxq/academic-works-markdown").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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "ids": [
        "10.1038/nature14539",
        "1706.03762",
        "26017442",
    ] }

# Run the Actor and wait for it to finish
run = client.actor("ingenious_quip_bxq/academic-works-markdown").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "ids": [
    "10.1038/nature14539",
    "1706.03762",
    "26017442"
  ]
}' |
apify call ingenious_quip_bxq/academic-works-markdown --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,ingenious_quip_bxq/academic-works-markdown"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/qxjcWADQ2k3qAcuYO/builds/Mc7gbJtnfM6xaJV8P/openapi.json