Google Scholar Search Scraper

Pricing

$20.00/month + usage

Google Scholar Search Scraper

Extract comprehensive academic data from Google Scholar including research papers, citations, author information, and PDF links. Automate your literature review process with advanced scraping capabilities for researchers and academics.

Pricing

$20.00/month + usage

Rating

1.0

(1)

Developer

ecomscrape

Maintained by Community

Actor stats

Bookmarked

Total users

Monthly active users

3 months ago

Last modified

Categories

Developer tools

Automation

Other

You can access the Google Scholar Search Scraper programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

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  "components": {
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      "inputSchema": {
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        "properties": {
          "urls": {
            "title": "URLs of the scholary list page urls to scrape",
            "type": "array",
            "description": "Add the URLs of the scholary list page urls you want to scrape. You can paste URLs one by one, or use the Bulk edit section to add a prepared list.",
            "items": {
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          },
          "max_items_per_url": {
            "title": "Limit the number of items per URL",
            "type": "integer",
            "description": "Limit the number of items per URL you want to scrape"
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          "max_retries_per_url": {
            "title": "Limit the number of retries for each URL",
            "type": "integer",
            "description": "Limit the number of retries for each URL if the scrape is detected as a bot or the page fails to load"
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            "title": "Proxy configuration",
            "type": "object",
            "description": "Select proxies to be used by your scraper."
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        }
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              },
              "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
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                  "resurrectCount": {
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                  "computeUnits": {
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                    "example": "latest"
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                  "timeoutSecs": {
                    "type": "integer",
                    "example": 300
                  },
                  "memoryMbytes": {
                    "type": "integer",
                    "example": 1024
                  },
                  "diskMbytes": {
                    "type": "integer",
                    "example": 2048
                  }
                }
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              "defaultKeyValueStoreId": {
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                "type": "string",
                "example": "1.0.0"
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                "type": "string"
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                    "type": "integer",
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                    "type": "integer",
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                    "type": "integer",
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                    "type": "integer",
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              },
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Google Scholar Search Scraper OpenAPI definition

OpenAPI is a standard for designing and describing RESTful APIs, allowing developers to define API structure, endpoints, and data formats in a machine-readable way. It simplifies API development, integration, and documentation.

OpenAPI is effective when used with AI agents and GPTs by standardizing how these systems interact with various APIs, for reliable integrations and efficient communication.

By defining machine-readable API specifications, OpenAPI allows AI models like GPTs to understand and use varied data sources, improving accuracy. This accelerates development, reduces errors, and provides context-aware responses, making OpenAPI a core component for AI applications.

You can download the OpenAPI definitions for Google Scholar Search Scraper from the options below:

OpenAPI.json

If you’d like to learn more about how OpenAPI powers GPTs, read our blog post.

You can also check out our other API clients:

Google Scholar Search Scraper API in Python

Google Scholar Search Scraper API in JavaScript

Google Scholar Search Scraper API through CLI

Google Scholar Search Scraper API

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