# Google Scholar API

> Google Scholar returns papers, researcher profiles, citations, and citing papers as a workflow and API.

Google Scholar’s Search papers finds papers using required topic or title words, with optional author, year, and order filters. Get author profile returns public researcher details and citation metrics from a required name, with an optional institution. Get citation formats a paper citation by title; List citing papers finds papers citing a title.

- Page: https://fous.com/workflows/google-scholar
- Handle: `@google-scholar`
- Category: [Science](https://fous.com/workflows/category/science)
- Source website: https://scholar.google.com
- Last verified: Sep 28, 2026
- Fous is not affiliated with Google Scholar.

## Methods

### Get author profile

Operation `get_author_profile`, version 1. 1 credit per call.

Get a researcher’s public Google Scholar profile, citation metrics, yearly citations and up to 20 most-cited papers by name. An institution can help distinguish researchers with the same name.

**Input**

| Field | Type | Required | Example | Description |
|---|---|---|---|---|
| `researcher` | string | yes | `"Yoshua Bengio"` | Researcher’s name, for example Geoffrey Hinton. |
| `institution` | string | no | `"University of Montreal"` | Optional institution to select the right person, for example University of Toronto. |

**Input schema**

```json
{
  "type": "object",
  "required": [
    "researcher"
  ],
  "properties": {
    "researcher": {
      "type": "string",
      "description": "Researcher’s name, for example Geoffrey Hinton.",
      "examples": [
        "Yoshua Bengio",
        "Geoffrey Hinton"
      ]
    },
    "institution": {
      "type": "string",
      "default": "",
      "description": "Optional institution to select the right person, for example University of Toronto.",
      "examples": [
        "University of Montreal",
        "University of Toronto"
      ]
    }
  },
  "additionalProperties": false,
  "examples": [
    {
      "researcher": "Yoshua Bengio",
      "institution": "University of Montreal"
    },
    {
      "researcher": "Geoffrey Hinton",
      "institution": "University of Toronto"
    },
    {
      "researcher": "Geoffrey Hinton"
    }
  ]
}
```

**Output**

| Field | Type | Example | Description |
|---|---|---|---|
| `name` | string | `"Yoshua Bengio"` |  |
| `photo_link` | string or null | `"https://scholar.googleusercontent.com/citations?view_op=view_photo&user=kukA0LcAAAAJ&citpid=3"` |  |
| `top_papers` | array |  |  |
| `top_papers[].year` | integer or null | `2014` |  |
| `top_papers[].title` | string | `"Generative adversarial nets"` |  |
| `top_papers[].venue` | string or null | `"Advances in neural information processing systems 27"` |  |
| `top_papers[].authors` | string or null | `"IJ Goodfellow, J Pouget-Abadie, M Mirza, B Xu, D Warde-Farley, S Ozair, ..."` |  |
| `top_papers[].citations` | integer or null | `121371` |  |
| `top_papers[].page_link` | string | `"https://scholar.google.com/citations?view_op=view_citation&hl=en&user=kukA0LcAAAAJ&citation_for_view=kukA0LcAAAAJ:i8eIf` |  |
| `affiliation` | string or null | `"Professor of computer science, University of Montreal , Mila, IVADO, CIFAR"` |  |
| `profile_link` | string | `"https://scholar.google.com/citations?user=kukA0LcAAAAJ&hl=en"` |  |
| `h_index_all_time` | integer or null | `259` |  |
| `citations_all_time` | integer or null | `1163331` |  |
| `citations_per_year` | array |  |  |
| `citations_per_year[].year` | integer | `2013` |  |
| `citations_per_year[].count` | integer | `4315` |  |
| `i10_index_all_time` | integer or null | `1111` |  |
| `research_interests` | array |  |  |
| `h_index_last_5_years` | integer or null | `211` |  |
| `verified_email_domain` | string or null | `"umontreal.ca"` |  |
| `citations_last_5_years` | integer or null | `777420` |  |
| `i10_index_last_5_years` | integer or null | `953` |  |

**Example input**

```json
{
  "researcher": "Yoshua Bengio",
  "institution": "University of Montreal"
}
```

**Example output**

```json
{
  "name": "Yoshua Bengio",
  "photo_link": "https://scholar.googleusercontent.com/citations?view_op=view_photo&user=kukA0LcAAAAJ&citpid=3",
  "top_papers": [
    {
      "year": 2014,
      "title": "Generative adversarial nets",
      "venue": "Advances in neural information processing systems 27",
      "authors": "IJ Goodfellow, J Pouget-Abadie, M Mirza, B Xu, D Warde-Farley, S Ozair, ...",
      "citations": 121371,
      "page_link": "https://scholar.google.com/citations?view_op=view_citation&hl=en&user=kukA0LcAAAAJ&citation_for_view=kukA0LcAAAAJ:i8eIfGGcn98C"
    },
    {
      "year": 2015,
      "title": "Deep learning",
      "venue": "nature 521 (7553), 436-444",
      "authors": "Y LeCun, Y Bengio, G Hinton",
      "citations": 120679,
      "page_link": "https://scholar.google.com/citations?view_op=view_citation&hl=en&user=kukA0LcAAAAJ&citation_for_view=kukA0LcAAAAJ:naSTrk-c4S8C"
    },
    {
      "year": 2016,
      "title": "Deep learning",
      "venue": "MIT press 1 (2)",
      "authors": "I Goodfellow, Y Bengio, A Courville",
      "citations": 106671,
      "page_link": "https://scholar.google.com/citations?view_op=view_citation&hl=en&user=kukA0LcAAAAJ&citation_for_view=kukA0LcAAAAJ:orDZ08hpP44C"
    }
  ],
  "affiliation": "Professor of computer science, University of Montreal , Mila, IVADO, CIFAR",
  "profile_link": "https://scholar.google.com/citations?user=kukA0LcAAAAJ&hl=en",
  "h_index_all_time": 259,
  "citations_all_time": 1163331,
  "citations_per_year": [
    {
      "year": 2013,
      "count": 4315
    },
    {
      "year": 2014,
      "count": 7262
    },
    {
      "year": 2015,
      "count": 13504
    }
  ],
  "i10_index_all_time": 1111,
  "research_interests": [
    "Machine learning",
    "deep learning",
    "artificial intelligence"
  ],
  "h_index_last_5_years": 211,
  "verified_email_domain": "umontreal.ca",
  "citations_last_5_years": 777420,
  "i10_index_last_5_years": 953
}
```

### Get citation

Operation `get_citation`, version 1. 1 credit per call.

Get a paper’s ready-made Google Scholar citations by title, optionally narrowed by author. Public search results only; Scholar may temporarily limit access.

**Input**

| Field | Type | Required | Example | Description |
|---|---|---|---|---|
| `title` | string | yes | `"Attention is all you need"` | Paper title to find, for example Attention is all you need. |
| `author` | string | no | `"Ashish Vaswani"` | Author name to narrow the paper search, for example Ashish Vaswani. |

**Input schema**

```json
{
  "type": "object",
  "required": [
    "title"
  ],
  "properties": {
    "title": {
      "type": "string",
      "minLength": 1,
      "description": "Paper title to find, for example Attention is all you need.",
      "examples": [
        "Attention is all you need",
        "Deep Residual Learning for Image Recognition"
      ]
    },
    "author": {
      "type": "string",
      "description": "Author name to narrow the paper search, for example Ashish Vaswani.",
      "examples": [
        "Ashish Vaswani"
      ]
    }
  },
  "additionalProperties": false,
  "examples": [
    {
      "title": "Attention is all you need",
      "author": "Ashish Vaswani"
    },
    {
      "title": "Attention is all you need"
    },
    {
      "title": "Deep Residual Learning for Image Recognition"
    }
  ]
}
```

**Output**

| Field | Type | Example | Description |
|---|---|---|---|
| `apa` | string | `"Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A. N., ... & Polosukhin, I. (2017). Attention is` | APA citation in plain text. |
| `mla` | string | `"Vaswani, Ashish, et al. \"Attention is all you need.\" Advances in neural information processing systems 30 (2017)."` | MLA citation in plain text. |
| `title` | string | `"Attention is all you need"` | Matched paper title. |
| `bibtex` | string | `"@article{vaswani2017attention,\n  title={Attention is all you need},\n  author={Vaswani, Ashish and Shazeer, Noam and P` | BibTeX entry for the paper. |
| `chicago` | string | `"Vaswani, Ashish, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Łukasz Kaiser, and Illia Polo` | Chicago citation in plain text. |
| `harvard` | string | `"Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A.N., Kaiser, Ł. and Polosukhin, I., 2017. Atten` | Harvard citation in plain text. |
| `paper_url` | string or null | `"https://proceedings.neurips.cc/paper_files/paper/7181-attention-is"` | Link to the matched paper. |
| `vancouver` | string | `"Vaswani A, Shazeer N, Parmar N, Uszkoreit J, Jones L, Gomez AN, Kaiser Ł, Polosukhin I. Attention is all you need. Adva` | Vancouver citation in plain text. |

**Example input**

```json
{
  "title": "Attention is all you need",
  "author": "Ashish Vaswani"
}
```

**Example output**

```json
{
  "apa": "Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A. N., ... & Polosukhin, I. (2017). Attention is all you need. Advances in neural information processing systems, 30.",
  "mla": "Vaswani, Ashish, et al. \"Attention is all you need.\" Advances in neural information processing systems 30 (2017).",
  "title": "Attention is all you need",
  "bibtex": "@article{vaswani2017attention,\n  title={Attention is all you need},\n  author={Vaswani, Ashish and Shazeer, Noam and Parmar, Niki and Uszkoreit, Jakob and Jones, Llion and Gomez, Aidan N and Kaiser, {\\…",
  "chicago": "Vaswani, Ashish, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Łukasz Kaiser, and Illia Polosukhin. \"Attention is all you need.\" Advances in neural information processing sy…",
  "harvard": "Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A.N., Kaiser, Ł. and Polosukhin, I., 2017. Attention is all you need. Advances in neural information processing systems, 30.",
  "paper_url": "https://proceedings.neurips.cc/paper_files/paper/7181-attention-is",
  "vancouver": "Vaswani A, Shazeer N, Parmar N, Uszkoreit J, Jones L, Gomez AN, Kaiser Ł, Polosukhin I. Attention is all you need. Advances in neural information processing systems. 2017;30."
}
```

### List citing papers

Operation `list_citing_papers`, version 1. 1 credit per call.

Find a paper by title and list public Google Scholar papers that cite it, with citation counts and available PDF links. Results may be temporarily limited by Scholar.

**Input**

| Field | Type | Required | Example | Description |
|---|---|---|---|---|
| `sort` | string | no | `"newest"` | Order of citing papers, for example newest. |
| `title` | string | yes | `"Attention is all you need"` | Title of the paper whose citing papers you want, for example Deep residual learning for image recognition. |
| `author` | string | no | `"Vaswani"` | Author name to distinguish papers with similar titles, for example Kaiming He. |
| `max_results` | integer | no | `4` | Maximum citing papers to return, for example 20. |

**Input schema**

```json
{
  "type": "object",
  "required": [
    "title"
  ],
  "properties": {
    "sort": {
      "enum": [
        "relevance",
        "newest"
      ],
      "type": "string",
      "default": "relevance",
      "description": "Order of citing papers, for example newest.",
      "examples": [
        "newest"
      ]
    },
    "title": {
      "type": "string",
      "description": "Title of the paper whose citing papers you want, for example Deep residual learning for image recognition.",
      "examples": [
        "Attention is all you need",
        "Deep residual learning for image recognition"
      ]
    },
    "author": {
      "type": "string",
      "description": "Author name to distinguish papers with similar titles, for example Kaiming He.",
      "examples": [
        "Vaswani",
        "Kaiming He"
      ]
    },
    "max_results": {
      "type": "integer",
      "default": 20,
      "maximum": 100,
      "minimum": 1,
      "description": "Maximum citing papers to return, for example 20.",
      "x-fous-developer": true,
      "examples": [
        4,
        12
      ]
    }
  },
  "additionalProperties": false,
  "examples": [
    {
      "sort": "newest",
      "title": "Attention is all you need",
      "author": "Vaswani",
      "max_results": 4
    },
    {
      "title": "Deep residual learning for image recognition",
      "author": "Kaiming He",
      "max_results": 12
    }
  ]
}
```

**Output**

| Field | Type | Example | Description |
|---|---|---|---|
| `citing_papers` | array |  | Papers citing the matched paper. |
| `citing_papers[].year` | integer or null | `2026` |  |
| `citing_papers[].title` | string | `"Coarse-to-Fine Long-term Interest Modeling for Generative Recommendation"` |  |
| `citing_papers[].venue` | string or null | `"Proceedings of the 20th …"` |  |
| `citing_papers[].authors` | string or null | `"S Cao , J She, B Zeng, J Liu, C Guo, K Cai …"` |  |
| `citing_papers[].paper_link` | string or null | `"https://dl.acm.org/doi/abs/10.1145/3773078.3831769"` |  |
| `citing_papers[].free_pdf_link` | string or null | `"https://arxiv.org/pdf/2502.17419"` |  |
| `citing_papers[].citation_count` | integer | `0` |  |
| `matched_paper_title` | string | `"Attention is all you need"` | Title of the paper that was matched. |
| `total_citation_count` | integer | `272137` | Number of papers citing the matched paper shown by Google Scholar. |

**Example input**

```json
{
  "sort": "newest",
  "title": "Attention is all you need",
  "author": "Vaswani",
  "max_results": 4
}
```

**Example output**

```json
{
  "citing_papers": [
    {
      "year": 2026,
      "title": "Coarse-to-Fine Long-term Interest Modeling for Generative Recommendation",
      "venue": "Proceedings of the 20th …",
      "authors": "S Cao , J She, B Zeng, J Liu, C Guo, K Cai …",
      "paper_link": "https://dl.acm.org/doi/abs/10.1145/3773078.3831769",
      "free_pdf_link": null,
      "citation_count": 0
    },
    {
      "year": 2026,
      "title": "MDGR: Masked Diffusion Generative Recommendation",
      "venue": "Proceedings of the 20th …",
      "authors": "L Mu, H Deng , H Xing, J Hu , Y Zhang, X Zeng…",
      "paper_link": "https://dl.acm.org/doi/abs/10.1145/3773078.3831862",
      "free_pdf_link": null,
      "citation_count": 0
    },
    {
      "year": 2026,
      "title": "Not All Branches Are Equal: Adaptive Semantic ID Construction for Generative Recommendation",
      "venue": "… of the 20th ACM Conference on …",
      "authors": "G Hadad , H Roitman , B Shapira",
      "paper_link": "https://dl.acm.org/doi/abs/10.1145/3773078.3831756",
      "free_pdf_link": null,
      "citation_count": 0
    }
  ],
  "matched_paper_title": "Attention is all you need",
  "total_citation_count": 272137
}
```

### Search papers

Operation `search_papers`, version 1. 1 credit per call.

Find academic papers on a topic in Google Scholar, in Scholar result order. Includes publicly displayed citation counts and full-text links when available.

**Input**

| Field | Type | Required | Example | Description |
|---|---|---|---|---|
| `sort` | string | no | `"newest"` | Results order: relevance or newest, such as relevance. |
| `query` | string | yes | `"remote work productivity"` | Topic or title words to search, such as remote work productivity. |
| `author` | string | no | `"Galanti"` | Author name to filter by, such as Galanti. |
| `since_year` | integer | no | `2022` | Earliest publication year, such as 2022. |
| `max_results` | integer | no | `12` | Maximum number of papers to return, such as 10 (up to 50). |

**Input schema**

```json
{
  "type": "object",
  "required": [
    "query"
  ],
  "properties": {
    "sort": {
      "enum": [
        "relevance",
        "newest"
      ],
      "type": "string",
      "default": "relevance",
      "description": "Results order: relevance or newest, such as relevance.",
      "examples": [
        "newest"
      ]
    },
    "query": {
      "type": "string",
      "description": "Topic or title words to search, such as remote work productivity.",
      "examples": [
        "remote work productivity",
        "machine learning medical imaging"
      ]
    },
    "author": {
      "type": "string",
      "description": "Author name to filter by, such as Galanti.",
      "examples": [
        "Galanti"
      ]
    },
    "since_year": {
      "type": "integer",
      "description": "Earliest publication year, such as 2022.",
      "examples": [
        2022
      ]
    },
    "max_results": {
      "type": "integer",
      "default": 10,
      "maximum": 50,
      "minimum": 1,
      "description": "Maximum number of papers to return, such as 10 (up to 50).",
      "x-fous-developer": true,
      "examples": [
        12,
        3
      ]
    }
  },
  "additionalProperties": false,
  "examples": [
    {
      "query": "remote work productivity",
      "author": "Galanti",
      "since_year": 2022,
      "max_results": 12
    },
    {
      "sort": "newest",
      "query": "machine learning medical imaging",
      "max_results": 3
    },
    {
      "query": "remote work productivity",
      "max_results": 3
    }
  ]
}
```

**Output**

| Field | Type | Example | Description |
|---|---|---|---|
| `papers` | array |  |  |
| `papers[].year` | integer or null | `2023` |  |
| `papers[].title` | string | `"Rethinking the unthinkable: A Delphi study on remote work during COVID-19 pandemic"` |  |
| `papers[].authors` | string or null | `"T Galanti, B Ferrara, P Benevene, I Buonomo"` |  |
| `papers[].snippet` | string or null | `"… The association of remote working with better work -life … productivity is another positive consequence of remote wor` |  |
| `papers[].paper_link` | string | `"https://www.mdpi.com/2076-0760/12/9/497"` |  |
| `papers[].citation_count` | integer or null | `40` |  |
| `papers[].publication_venue` | string or null | `"Social Sciences"` |  |
| `papers[].free_full_text_link` | string or null | `"https://www.mdpi.com/2076-0760/12/9/497"` |  |

**Example input**

```json
{
  "query": "remote work productivity",
  "author": "Galanti",
  "since_year": 2022,
  "max_results": 12
}
```

**Example output**

```json
{
  "papers": [
    {
      "year": 2023,
      "title": "Rethinking the unthinkable: A Delphi study on remote work during COVID-19 pandemic",
      "authors": "T Galanti, B Ferrara, P Benevene, I Buonomo",
      "snippet": "… The association of remote working with better work -life … productivity is another positive consequence of remote work . … crucial for ensuring productivity , as remote work can still yield …",
      "paper_link": "https://www.mdpi.com/2076-0760/12/9/497",
      "citation_count": 40,
      "publication_venue": "Social Sciences",
      "free_full_text_link": "https://www.mdpi.com/2076-0760/12/9/497"
    },
    {
      "year": 2024,
      "title": "COVID-19 pandemic and remote working: Toward a new way of working",
      "authors": "F Toscano, T Galanti",
      "snippet": "… limitations of remote working , including increased productivity , … of remote working , including the possibility of a hybrid work model and the potential impact of remote working of this work …",
      "paper_link": "https://www.sciencedirect.com/science/chapter/edited-volume/pii/B9780323956505000276",
      "citation_count": 1,
      "publication_venue": "Linking Neuroscience and Behavior in COVID-19",
      "free_full_text_link": null
    },
    {
      "year": 2024,
      "title": "New strategies for psychological well-being at work",
      "authors": "T Galanti, F Toscano",
      "snippet": "… work -life balance for many employees. With the shift to remote work and the blurring of boundaries between work … healthier, more productive , and more fulfilling work environments for …",
      "paper_link": "https://www.sciencedirect.com/science/article/pii/B9780323956505000434",
      "citation_count": 5,
      "publication_venue": "Linking neuroscience and behavior in COVID-19",
      "free_full_text_link": null
    }
  ]
}
```

## Quick start

Call the API with a Fous API key (`FOUS_API_KEY`). To create one, turn on Developer mode in Fous Studio, then open Keys & connections → API keys (https://app.fous.com/keys).

```bash
# First set your key: export FOUS_API_KEY='YOUR_FOUS_API_KEY'
: "${FOUS_API_KEY:?Set FOUS_API_KEY before running this example}"

curl 'https://api.fous.com/v1/query' \
  --fail-with-body --silent --show-error --max-time 120 \
  -H "Authorization: Bearer $FOUS_API_KEY" \
  -H 'Content-Type: application/json' \
  --data-raw '{
  "api": "@google-scholar",
  "visibility": "public",
  "operation": "get_author_profile",
  "version": 1,
  "input": {
    "researcher": "Yoshua Bengio",
    "institution": "University of Montreal"
  },
  "response": {
    "format": "json"
  }
}'
```

```python
# Save as fous.py and run with python3 fous.py. No packages needed.
# First set your key: export FOUS_API_KEY='YOUR_FOUS_API_KEY'
import json
import os
import urllib.error
import urllib.request

api_key = os.environ.get("FOUS_API_KEY")
if not api_key:
    raise RuntimeError("Set FOUS_API_KEY before running this example")

body = json.loads("{\n  \"api\": \"@google-scholar\",\n  \"visibility\": \"public\",\n  \"operation\": \"get_author_profile\",\n  \"version\": 1,\n  \"input\": {\n    \"researcher\": \"Yoshua Bengio\",\n    \"institution\": \"University of Montreal\"\n  },\n  \"response\": {\n    \"format\": \"json\"\n  }\n}")
request = urllib.request.Request(
    "https://api.fous.com/v1/query",
    data=json.dumps(body).encode("utf-8"),
    headers={
        "Authorization": f"Bearer {api_key}",
        "Content-Type": "application/json",
    },
    method="POST",
)
try:
    with urllib.request.urlopen(request, timeout=120) as response:
        result = json.load(response)
except urllib.error.HTTPError as error:
    raise RuntimeError(f"HTTP {error.code}: {error.read().decode('utf-8', errors='replace')}") from error
if result.get("success") is False:
    raise RuntimeError(result.get("error", {}).get("message", "Request failed"))
print(json.dumps(result["data"]["output"], indent=2))
```

```typescript
// Save as fous.mts and run with npx tsx fous.mts.
// First set your key: export FOUS_API_KEY='YOUR_FOUS_API_KEY'
const apiKey = process.env.FOUS_API_KEY;
if (!apiKey) throw new Error("Set FOUS_API_KEY before running this example");

const response = await fetch("https://api.fous.com/v1/query", {
  method: "POST",
  headers: {
    "Authorization": `Bearer ${apiKey}`,
    "Content-Type": "application/json",
  },
  signal: AbortSignal.timeout(120_000),
  body: JSON.stringify({
  "api": "@google-scholar",
  "visibility": "public",
  "operation": "get_author_profile",
  "version": 1,
  "input": {
    "researcher": "Yoshua Bengio",
    "institution": "University of Montreal"
  },
  "response": {
    "format": "json"
  }
}),
});
type ApiResult = { success: boolean; data?: { output: unknown }; error?: { message: string } };
const result: ApiResult = await response.json();
if (!response.ok || result.success === false) {
  throw new Error(result.error?.message ?? `HTTP ${response.status}`);
}
if (!result.data) throw new Error("Missing API response data");
console.log(result.data.output);
```

Or describe the data in plain language: send `{"api":"@google-scholar","prompt":"Describe the data you need, with every detail"}` to the same URL. Fous fills in the input, runs the method that fits and returns only the fields you asked for; `data.route.calls[].request` is the exact call it made. Routing is free; the run costs the same.

## Use cases

- Find papers on a topic for a literature review
- Track a researcher’s citation metrics over time
- Prepare formatted citations for a paper
- Identify papers citing a selected study
- Distinguish researchers with similar names using their institutions

## FAQ

### Is Fous affiliated with Google Scholar?

No. Fous is not affiliated with Google Scholar. This workflow reads the public scholar.google.com website and returns its data.

### How much does it cost?

Each run costs 1 credit. With pay-as-you-go, a credit costs 1¢; monthly plans cost less per credit.

### Do I need a Google Scholar account?

No. You only need a Fous account.

### How current is the data?

Fous gets the data from scholar.google.com when you run it; repeating the same request within a day may return the saved result. Fous checks this workflow automatically; it last passed a check on Sep 28, 2026.

### Which papers cite a particular study?

List citing papers finds public papers citing a paper matched by title, with an optional author filter.

### What are a researcher’s citation metrics?

Get author profile returns citation metrics, yearly citations, and other public profile details for a researcher.

### How can I get a formatted citation for a paper?

Get citation returns ready-made citations in several styles for a paper found by title, with an optional author filter.

## Related

- [Semantic Scholar API](https://fous.com/workflows/semantic-scholar.md): Semantic Scholar returns paper and citation search, paper abstracts, summaries, authors and influence, plus author metrics and up to 10 top-cited papers; dates, summaries, PDFs and affiliation matches may be unavailable.
- [ORCID API](https://fous.com/workflows/orcid.md): Researcher identifiers and public research records.
- [OpenAlex API](https://fous.com/workflows/openalex.md): OpenAlex is an open catalog of scholarly research and connections, offering ranked papers and institution research summaries with annual output, leading topics, and coauthors.
- [Crossref API](https://fous.com/workflows/crossref.md): Find scholarly works and format citations from their registered metadata.
- [arXiv API](https://fous.com/workflows/arxiv.md): arXiv returns up to 100 matching research preprints or individual paper details, and newly announced subject papers in announcement order; announcement dates may differ from today, and replacements are excluded.
- [Google Patents API](https://fous.com/workflows/google-patents.md): Google Patents searches public records and provides patent details and company summaries; legal status is estimated, and citations, claims, and company breakdowns have record limits.
- [Google Search API](https://fous.com/workflows/google-search.md): Google Search returns public web, image, job, event, related-question, and autocomplete results in Google’s order, with answers and details when available; results may be fewer, omit information, or be empty.
- [Google Books API](https://fous.com/workflows/google-books.md): Google Books searches books and provides book details, reader ratings, and local ebook prices when available; newest results sort by publication date.
- [All Science workflows](https://fous.com/workflows/category/science)