# Google Scholar Scraper (`googleapi/google-scholar-scraper`) Actor

Collect public Google Scholar publication records with bibliographic metadata, author links, public full-text links, citations, and versions.

- **URL**: https://apify.com/googleapi/google-scholar-scraper.md
- **Developed by:** [Google API](https://apify.com/googleapi) (community)
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $3.99 / 1,000 results

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

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

Search public Google Scholar results for scholarly publications. Records include publication titles, bibliographic details, authors shown on the result, citations, versions, and links to publicly listed full-text resources.

You can optionally enrich selected records with public author-profile information and publication details from Google Scholar. The Actor does not open publisher pages or claim that a listed document is open access.

### How to use

1. Enter one or more research queries, or provide public Google Scholar search URLs.
2. Set the result limit and page range.
3. Choose whether to include authors, citation information, and version links.
4. Optionally enable identity-matched author or publication details.
5. Run the Actor and inspect the publication dataset.

Example:

```json
{
  "queries": ["information retrieval", "scholarly search"],
  "maxItems": 20,
  "page": 1,
  "maxPages": 2,
  "includeAuthors": true,
  "includeCitations": true,
  "includeVersions": true
}
```

### Input

| Input | Description | Default |
|---|---|---:|
| `query` / `queries` | One or more Scholar queries (up to 20). `keywords` and `searchQuery` are aliases. | — |
| `startUrls` | Public Google Scholar search URLs containing a query. `urls` is an alias. | — |
| `maxItems` | Maximum unique publication records across the run. | 25 |
| `page` / `maxPages` | First results page and maximum pages per query or URL. | 1 / 10 |
| `includeAuthors` | Include visible author names, public profile links, venue, year, and bibliographic line. | `true` |
| `includeCitations` | Include visible citation counts and related-article links. | `true` |
| `includeVersions` | Include visible version counts and version links. | `true` |
| `language` | Google Scholar language. | `en` |
| `country` | Accepted for compatibility; Google Scholar does not provide a country search filter. | `US` |
| `sourceTransport` | Use direct HTTP (`http`) or a fresh standard browser session (`browser`). | `http` |
| `enrichPublications` | Add matching public author-profile and publication details. | `false` |
| `maxEnrichedPublications` | Maximum publications to enrich across the run. | 3 |
| `maxSourcePagesPerPublication` | Set to `1` for author profiles or `2` to also inspect the matching Scholar publication page. | 1 |
| `detailTransport` | HTTP or standard browser for optional detail lookups. | `http` |
| `proxyConfiguration` | Optional proxy settings for public page requests. | — |

The Input tab includes controls for page timeouts, retries, and delays. Browser rendering uses more compute than HTTP requests. Optional enrichment matches profiles and publications against the selected search result; it does not infer profiles from author names alone.

### Output

Each dataset item represents a publication and includes the required `title`. Depending on the result, it can also include:

- **Publication details:** ID, DOI, type, publication URL, venue, publisher, year, and bibliographic metadata.
- **Authors:** visible author names, linked Scholar profiles, and author-list information.
- **Summary and access:** result snippet, PDF/HTML links, and available formats.
- **Citation context:** cited-by count and link, version count and link, and related-article link.
- **Optional enrichment:** matching public author profiles and publication details when `enrichPublications` is enabled.

Citation counts and available links reflect what Google Scholar shows and can change over time. Missing information is not invented. The Actor records links as shown; it does not open external publication destinations.

Example dataset item:

```json
{
  "publicationId": "scholar-paper-001",
  "title": "Public Web Scraping",
  "publicationUrl": "https://example.org/papers/web-scraping",
  "doi": "10.0000/example.123",
  "authorNames": ["A. Researcher", "B. Analyst"],
  "publicationVenue": "Journal of Data",
  "publicationYear": 2025,
  "snippet": "A study of extracting structured information from public web pages.",
  "citationCount": 12,
  "versionCount": 3,
  "pdfUrl": "https://example.org/papers/web-scraping.pdf",
  "publicationDetails": null
}
```

The Output tab shows the available result fields. Run summary information is available with the run output in Apify.

### Limits and responsible use

Google Scholar may vary or limit results by query and time. Page limits and optional profile lookups affect run time. The Actor does not sign in or bypass access checks.

Author names and public profile links can be personal data. Use collected information lawfully and follow Google Scholar terms and applicable privacy requirements. This Actor is not affiliated with Google.

# Actor input Schema

## `sourceTransport` (type: `string`):

Direct HTTP or a fresh standard browser session from the start. Both stop at access boundaries. Browser sessions use more compute and do not reuse account cookies.

## `query` (type: `string`):

One public Google Scholar query. Use this or queries.

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

Up to 20 public Google Scholar queries. Results share the global maxItems limit.

## `keywords` (type: `array`):

Compatibility alias for queries.

## `searchQuery` (type: `string`):

Compatibility alias for query.

## `startUrls` (type: `array`):

Public HTTPS Google Scholar /scholar search URLs containing a q parameter. When supplied with queries, both sources are searched.

## `urls` (type: `array`):

Compatibility alias for public Google Scholar URLs.

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

Global maximum unique publication records across all queries and URLs.

## `page` (type: `integer`):

One-based Google Scholar results page to start from. Each page contains up to 10 results.

## `maxPages` (type: `integer`):

Maximum result pages to inspect for each query or start URL.

## `includeAuthors` (type: `boolean`):

Include source-visible authors, author profile links, venue, year, and the publication metadata line.

## `includeCitations` (type: `boolean`):

Include visible citation counts and related-article links.

## `includeVersions` (type: `boolean`):

Include visible version counts and version links.

## `language` (type: `string`):

Google Scholar language code used in the public search URL and request language.

## `country` (type: `string`):

Accepted for input compatibility. Google Scholar's public search page does not provide a country filter.

## `timeoutSecs` (type: `integer`):

Timeout for each public Google Scholar request.

## `timeoutMs` (type: `integer`):

Compatibility override for timeoutSecs; when both are supplied, timeoutMs takes precedence.

## `requestDelayMs` (type: `integer`):

Polite pause between sequential public page requests.

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

Finite retries for transient public request failures. Access boundaries are not retried.

## `maxResponseBytes` (type: `integer`):

Maximum HTML body size accepted for one public page.

## `proxyConfiguration` (type: `object`):

Optional existing Apify or custom HTTP proxy applied to every public source request and approved redirect. Residential proxies are recommended for Google domains. Proxy initialization or authentication failures stop without direct fallback.

## `enrichPublications` (type: `boolean`):

Opt-in identity-matched public author and article details. Disabled by default.

## `maxEnrichedPublications` (type: `integer`):

Maximum number of publication records considered for optional public detail fetching across the run.

## `maxSourcePagesPerPublication` (type: `integer`):

1: matched author profile. 2: profile and its matching public publication detail.

## `detailTransport` (type: `string`):

Explicit transport for opt-in public Scholar author and article details. A fresh ordinary browser can be selected from the start; no challenge fallback or cookie reuse.

## Actor input object example

```json
{
  "sourceTransport": "http",
  "maxItems": 25,
  "page": 1,
  "maxPages": 10,
  "includeAuthors": true,
  "includeCitations": true,
  "includeVersions": true,
  "language": "en",
  "country": "US",
  "timeoutSecs": 30,
  "requestDelayMs": 200,
  "maxRetries": 1,
  "maxResponseBytes": 4000000,
  "enrichPublications": false,
  "maxEnrichedPublications": 3,
  "maxSourcePagesPerPublication": 1,
  "detailTransport": "http"
}
```

# Actor output Schema

## `dataset` (type: `string`):

No description

## `runSummary` (type: `string`):

No description

## `output` (type: `string`):

No description

## `runHealth` (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 = {
    "maxItems": 25
};

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

# Prepare the Actor input
run_input = { "maxItems": 25 }

# Run the Actor and wait for it to finish
run = client.actor("googleapi/google-scholar-scraper").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 '{
  "maxItems": 25
}' |
apify call googleapi/google-scholar-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,googleapi/google-scholar-scraper"
        }
    }
}
```

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/QutcezhRD0c5Apj2V/builds/KtkpSK36VZTSGYLaM/openapi.json