# OpenAlex Scraper - Low-cost💲🔥📚🌍 (`delectable_incubator/openalex-scraper-low-cost`) Actor

🔍 Extract OpenAlex research data with ease. Collect publication titles, authors, institutions, journals, publication years, citations, funding information, concepts, and entity URLs. Ideal for bibliometric analysis, research intelligence, academic analytics and science mapping. 📚📊🌍

- **URL**: https://apify.com/delectable\_incubator/openalex-scraper-low-cost.md
- **Developed by:** [Prime Scrape](https://apify.com/delectable_incubator) (community)
- **Categories:** Automation, Integrations
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.00005 / actor start

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.
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 a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
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.

In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md):

```bash
npm install apify-client
```

In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md):

```bash
pip install apify-client
```

In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):

````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash

In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).

If your project is in a different language, use 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

<p align="center">
  <img src="https://i.ibb.co/jkNS73wX/readme.png" alt="OpenAlex Scraper" width="100%">
</p>

---

## 📚🔬 OpenAlex Scraper 🌍 | Bulk Research, Authors, Institutions & Funding Data Scraper | Apify Actor

### 🚀 Extract OpenAlex Research Data in Seconds (No Code)

The **OpenAlex Scraper (Apify Actor)** is a powerful, scalable, and **SEO-optimized scholarly data extraction tool** designed to collect structured research information from OpenAlex — one of the world's largest open catalogs of academic works, authors, institutions, journals, publishers, and funders.

Built for researchers, universities, bibliometric analysts, publishers, data scientists, research intelligence teams, and AI developers, this scraper enables you to **extract OpenAlex data in bulk** and export it into structured datasets ready for analytics and automation.

---

### 🔥 Why This OpenAlex Scraper?

✔ Best OpenAlex scraper on Apify

✔ Supports **bulk keyword scraping (multi-search)**

✔ Scrape Works, Authors, Institutions, Sources & Funders

✔ Fast & scalable extraction engine

✔ Automatic pagination handling

✔ Structured JSON / CSV / Excel output

✔ Perfect for bibliometric analysis

✔ Ideal for academic intelligence and AI datasets

✔ No coding required

---

### 🎯 What This Scraper Does (OpenAlex Data Extraction)

This Apify Actor extracts structured research and scholarly metadata directly from OpenAlex.

#### 📌 Core Features

✅ Scrape OpenAlex Works

✅ Scrape OpenAlex Authors

✅ Scrape OpenAlex Institutions

✅ Scrape OpenAlex Sources (Journals & Publishers)

✅ Scrape OpenAlex Funders

✅ Bulk keyword scraping support (SEO BOOST 🚀)

✅ Automatic pagination handling

✅ Extract citation and publication metrics

✅ Extract affiliations and institutions

✅ Extract funding information

✅ Extract authorship data

✅ Clean structured dataset output

✅ High-speed extraction engine

---

### ⚡ Input Configuration (Simple & Powerful)

#### 🔥 BULK KEYWORD MODE (SEO BOOST 🚀)

````

{
"keywords": \[
"artificial intelligence",
"machine learning",
"climate change",
"cancer research",
"quantum computing",
"renewable energy"
],
"entity\_type": "works",
"max\_items": 1000
}

```

#### Input Fields

| Field       | Description                                    |
| ----------- | ---------------------------------------------- |
| keywords    | List of search keywords                        |
| entity_type | works, authors, institutions, sources, funders |
| max_items   | Maximum records to collect                     |

---

### 📊 Extracted Data (Structured Output)

| Field           | Description                      |
| --------------- | -------------------------------- |
| entityType      | Entity type                      |
| title           | Work or entity title             |
| entityUrl       | OpenAlex URL                     |
| year            | Publication year                 |
| authors         | Author names                     |
| source          | Journal, publisher or source     |
| location        | Geographic location              |
| entitySubtype   | Journal, conference, grant, etc. |
| fundingAmount   | Funding amount                   |
| funderName      | Funding organization             |
| institutionName | Affiliated institution           |
| countText       | Citation count or works count    |
| subtitle        | Additional description           |

---

### 💡 Use Cases (High Demand SEO Keywords)

This OpenAlex scraper is used for:

📚 Academic research analytics

📊 Bibliometric analysis

🏫 University research intelligence

💰 Funding and grant analysis

🧠 Scientific knowledge mapping

📈 Citation trend monitoring

🤖 AI training datasets

🔬 Research impact analysis

📡 Scholarly data aggregation

⚡ Bulk OpenAlex data extraction

---

### 🚀 Key Features (Apify SEO Optimized)

⚡ Bulk keyword scraping support

🌍 Global academic research coverage

📌 Smart pagination system

🧠 Structured scholarly metadata

📊 Citation and publication metrics

🔁 Auto retry & stability system

💾 Export-ready datasets

⚙️ Scalable cloud execution

🏫 Institution and funding intelligence

---

### 📤 Output Formats Supported

✔ JSON (API Ready)

✔ CSV (Excel Compatible)

✔ Excel XLSX

✔ XML

✔ HTML

---

### 📦 Example Output

```

{
"entityType": "Work",
"title": "Artificial Intelligence in Healthcare",
"entityUrl": "https://openalex.org/W123456789",
"year": 2024,
"authors": \[
"John Smith",
"Sarah Johnson"
],
"source": "Nature Medicine",
"location": "United States",
"entitySubtype": "Journal Article",
"institutionName": "Stanford University",
"countText": "432 citations",
"subtitle": "Applications and Future Directions"
}

````

---

### 🔥 Why This is the BEST OpenAlex Scraper on Apify?

✔ Optimized for Apify marketplace ranking

✔ High-performance scholarly extraction engine

✔ Bulk keyword support (rare feature)

✔ Multi-entity research scraping

✔ Structured research datasets

✔ Enterprise-ready scalability

✔ Ideal for universities and research teams

✔ Perfect for SEO visibility and organic traffic

---

### 💸 Pricing

This scraper runs on a **pay-per-result pricing model**.

You only pay for successfully extracted records.

💳 **Price: $0.98 / 1,000 results**

---

### ❓ FAQ (SEO BOOST SECTION)

#### Can I scrape multiple keywords at once?

Yes — bulk keyword mode is fully supported.

#### Can I scrape authors, institutions and publications?

Yes — simply choose the desired entity type.

#### Does the scraper handle pagination?

Yes — pagination is fully automated.

#### Can I use it for bibliometric analysis?

Absolutely. It is specifically designed for citation analysis, publication monitoring, and research intelligence.

#### Can I use it for AI datasets?

Yes. OpenAlex data is widely used for AI, NLP, LLM training, and knowledge graph projects.

#### Is coding required?

No — this is a fully no-code Apify Actor.

#### Can I export data?

Yes — JSON, CSV, Excel, XML, and HTML are supported.

---

### ⚠️ Disclaimer

This tool is not affiliated with OpenAlex.

It is an independent data extraction solution designed for research, analytics, academic intelligence, and automation purposes.

---

### 🔗 Related Actors (PrimeScrape Ecosystem)

We are building a complete **PrimeScrape Research Intelligence Suite**.

👉 More Research, Academic, AI, Business, Jobs, E-commerce, Lead Generation and Social Media Scrapers Coming Soon 🚀

---

### 🌍 PrimeScrape Ecosystem

Built for large-scale data collection, research intelligence, automation, and AI workflows.

📚 Research Intelligence

🏫 Academic Analytics

📈 Bibliometric Analysis

💰 Funding Intelligence

🤖 AI Training Datasets

🔬 Scientific Data Collection

📊 Analytics Pipelines

⚙️ Automation Workflows

🌐 Data Extraction at Scale

---

### 📬 Support

⭐⭐⭐⭐⭐ Leave a review if you enjoy this scraper.

📩 Need a custom scraper, enterprise solution, or additional features?

Contact the PrimeScrape team directly through Apify.

**PrimeScrape — Data Extraction & Intelligence at Scale 🚀**

# Actor input Schema

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

One or more keywords to search for on OpenAlex (e.g., machine learning, ai, data science). Each keyword is fetched separately via the official OpenAlex API.
## `entity_type` (type: `string`):

Type of entity to search for
## `max_items` (type: `integer`):

Maximum number of entities to fetch per keyword

## Actor input object example

```json
{
  "keywords": [
    "ai",
    "machine learning"
  ],
  "entity_type": "works",
  "max_items": 200
}
````

# Actor output Schema

## `overview` (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 = {
    "keywords": [
        "ai",
        "machine learning"
    ],
    "entity_type": "works",
    "max_items": 200
};

// Run the Actor and wait for it to finish
const run = await client.actor("delectable_incubator/openalex-scraper-low-cost").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 = {
    "keywords": [
        "ai",
        "machine learning",
    ],
    "entity_type": "works",
    "max_items": 200,
}

# Run the Actor and wait for it to finish
run = client.actor("delectable_incubator/openalex-scraper-low-cost").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 '{
  "keywords": [
    "ai",
    "machine learning"
  ],
  "entity_type": "works",
  "max_items": 200
}' |
apify call delectable_incubator/openalex-scraper-low-cost --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=delectable_incubator/openalex-scraper-low-cost",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "OpenAlex Scraper - Low-cost💲🔥📚🌍",
        "description": "🔍 Extract OpenAlex research data with ease. Collect publication titles, authors, institutions, journals, publication years, citations, funding information, concepts, and entity URLs. Ideal for bibliometric analysis, research intelligence, academic analytics and science mapping. 📚📊🌍",
        "version": "0.0",
        "x-build-id": "XVgJiX2iyIXfuoWPL"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/delectable_incubator~openalex-scraper-low-cost/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-delectable_incubator-openalex-scraper-low-cost",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/delectable_incubator~openalex-scraper-low-cost/runs": {
            "post": {
                "operationId": "runs-sync-delectable_incubator-openalex-scraper-low-cost",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK",
                        "content": {
                            "application/json": {
                                "schema": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/delectable_incubator~openalex-scraper-low-cost/run-sync": {
            "post": {
                "operationId": "run-sync-delectable_incubator-openalex-scraper-low-cost",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        }
    },
    "components": {
        "schemas": {
            "inputSchema": {
                "type": "object",
                "required": [
                    "keywords"
                ],
                "properties": {
                    "keywords": {
                        "title": "Search Keywords 🔍",
                        "type": "array",
                        "description": "One or more keywords to search for on OpenAlex (e.g., machine learning, ai, data science). Each keyword is fetched separately via the official OpenAlex API.",
                        "default": [
                            "ai",
                            "machine learning"
                        ],
                        "items": {
                            "type": "string"
                        }
                    },
                    "entity_type": {
                        "title": "Entity Type",
                        "enum": [
                            "works",
                            "awards",
                            "authors",
                            "sources",
                            "funders",
                            "institutions"
                        ],
                        "type": "string",
                        "description": "Type of entity to search for",
                        "default": "works"
                    },
                    "max_items": {
                        "title": "Maximum Items to Scrape (per keyword)",
                        "type": "integer",
                        "description": "Maximum number of entities to fetch per keyword",
                        "default": 200
                    }
                }
            },
            "runsResponseSchema": {
                "type": "object",
                "properties": {
                    "data": {
                        "type": "object",
                        "properties": {
                            "id": {
                                "type": "string"
                            },
                            "actId": {
                                "type": "string"
                            },
                            "userId": {
                                "type": "string"
                            },
                            "startedAt": {
                                "type": "string",
                                "format": "date-time",
                                "example": "2025-01-08T00:00:00.000Z"
                            },
                            "finishedAt": {
                                "type": "string",
                                "format": "date-time",
                                "example": "2025-01-08T00:00:00.000Z"
                            },
                            "status": {
                                "type": "string",
                                "example": "READY"
                            },
                            "meta": {
                                "type": "object",
                                "properties": {
                                    "origin": {
                                        "type": "string",
                                        "example": "API"
                                    },
                                    "userAgent": {
                                        "type": "string"
                                    }
                                }
                            },
                            "stats": {
                                "type": "object",
                                "properties": {
                                    "inputBodyLen": {
                                        "type": "integer",
                                        "example": 2000
                                    },
                                    "rebootCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "restartCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "resurrectCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "computeUnits": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            },
                            "options": {
                                "type": "object",
                                "properties": {
                                    "build": {
                                        "type": "string",
                                        "example": "latest"
                                    },
                                    "timeoutSecs": {
                                        "type": "integer",
                                        "example": 300
                                    },
                                    "memoryMbytes": {
                                        "type": "integer",
                                        "example": 1024
                                    },
                                    "diskMbytes": {
                                        "type": "integer",
                                        "example": 2048
                                    }
                                }
                            },
                            "buildId": {
                                "type": "string"
                            },
                            "defaultKeyValueStoreId": {
                                "type": "string"
                            },
                            "defaultDatasetId": {
                                "type": "string"
                            },
                            "defaultRequestQueueId": {
                                "type": "string"
                            },
                            "buildNumber": {
                                "type": "string",
                                "example": "1.0.0"
                            },
                            "containerUrl": {
                                "type": "string"
                            },
                            "usage": {
                                "type": "object",
                                "properties": {
                                    "ACTOR_COMPUTE_UNITS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_WRITES": {
                                        "type": "integer",
                                        "example": 1
                                    },
                                    "KEY_VALUE_STORE_LISTS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_INTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_EXTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_SERPS": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            },
                            "usageTotalUsd": {
                                "type": "number",
                                "example": 0.00005
                            },
                            "usageUsd": {
                                "type": "object",
                                "properties": {
                                    "ACTOR_COMPUTE_UNITS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_WRITES": {
                                        "type": "number",
                                        "example": 0.00005
                                    },
                                    "KEY_VALUE_STORE_LISTS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_INTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_EXTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_SERPS": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```