Pricing

from $2.00 / 1,000 results

Google Scholar Scraper

[💰 $2.0 / 1K] Extract academic papers, author profiles, h-index, i10-index, citation counts, abstracts, and PDF links from Google Scholar. Batch search queries and author IDs, filter by year range, sort by relevance or date.

Pricing

from $2.00 / 1,000 results

Rating

0.0

(0)

Developer

SolidCode

Actor stats

Bookmarked

Total users

Monthly active users

0.73 hours

Issues response

11 days ago

Last modified

Categories

Automation

Developer tools

You can access the Google Scholar 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": {
          "searchQueries": {
            "title": "Search Queries",
            "type": "array",
            "description": "Keywords to search on Google Scholar (e.g., 'machine learning healthcare' or 'quantum error correction'). Each query produces its own set of paper results. Leave empty if you only want author profiles.",
            "items": {
              "type": "string"
            }
          },
          "authorIds": {
            "title": "Author IDs or Profile URLs",
            "type": "array",
            "description": "Google Scholar author IDs or profile URLs to scrape full profiles (h-index, i10-index, citation counts, publication list). Paste either the 10-14 character ID (e.g., 'JicYPdAAAAAJ') or the full profile URL (e.g., 'https://scholar.google.com/citations?user=JicYPdAAAAAJ&hl=en'). The ID is the value after `user=` in the URL.",
            "items": {
              "type": "string"
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          },
          "maxResults": {
            "title": "Maximum Results per Query",
            "minimum": 0,
            "maximum": 1000,
            "type": "integer",
            "description": "Maximum number of papers to return per search query. Google Scholar caps searches at roughly 1,000 results. Set to 0 for all available results.",
            "default": 50
          },
          "yearFrom": {
            "title": "Year From",
            "minimum": 1900,
            "maximum": 2100,
            "type": "integer",
            "description": "Only include papers published in this year or later. Leave empty for no lower bound."
          },
          "yearTo": {
            "title": "Year To",
            "minimum": 1900,
            "maximum": 2100,
            "type": "integer",
            "description": "Only include papers published in this year or earlier. Leave empty for no upper bound."
          },
          "sortBy": {
            "title": "Sort By",
            "enum": [
              "relevance",
              "date"
            ],
            "type": "string",
            "description": "How to order paper results.",
            "default": "relevance"
          },
          "language": {
            "title": "Language",
            "enum": [
              "en",
              "es",
              "de",
              "fr",
              "it",
              "pt",
              "nl",
              "pl",
              "tr",
              "ru",
              "ja",
              "ko",
              "zh-CN",
              "zh-TW",
              "ar",
              "he",
              "th",
              "vi",
              "id",
              "hi"
            ],
            "type": "string",
            "description": "Language of the Scholar interface and result snippets.",
            "default": "en"
          },
          "country": {
            "title": "Country",
            "enum": [
              "us",
              "uk",
              "ca",
              "au",
              "nz",
              "ie",
              "fr",
              "de",
              "es",
              "it",
              "nl",
              "be",
              "pt",
              "ch",
              "at",
              "se",
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              "my",
              "th",
              "id",
              "ph",
              "vn",
              "in",
              "br",
              "mx",
              "ar",
              "cl",
              "co",
              "ae",
              "sa",
              "tr",
              "il",
              "za",
              "eg"
            ],
            "type": "string",
            "description": "Country code (gl) for result localization. Affects which regional mirror is used.",
            "default": "us"
          },
          "includeAbstracts": {
            "title": "Include Abstracts",
            "type": "boolean",
            "description": "Include the snippet/abstract text for each paper. Disable to reduce dataset size.",
            "default": true
          },
          "includeCitations": {
            "title": "Include Citing Papers",
            "type": "boolean",
            "description": "For each paper, follow the 'Cited by' link and return the papers that cite it. This significantly increases runtime and cost — leave off unless you need citation graphs.",
            "default": false
          },
          "maxCitationsPerPaper": {
            "title": "Max Citing Papers per Source Paper",
            "minimum": 1,
            "maximum": 200,
            "type": "integer",
            "description": "When 'Include Citing Papers' is on, this caps how many citing papers are fetched per source paper. Default 20; higher values linearly increase runtime and cost.",
            "default": 20
          },
          "includeBibtex": {
            "title": "Include BibTeX",
            "type": "boolean",
            "description": "Also collect a BibTeX entry and formatted citation strings (MLA, APA, Chicago, Harvard, Vancouver) for every paper. Adds 2 extra requests per paper — useful for bibliography workflows.",
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          }
        }
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                "type": "string"
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              "startedAt": {
                "type": "string",
                "format": "date-time",
                "example": "2025-01-08T00:00:00.000Z"
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                  "rebootCount": {
                    "type": "integer",
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                  "restartCount": {
                    "type": "integer",
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                  },
                  "resurrectCount": {
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                  },
                  "computeUnits": {
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                  }
                }
              },
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                "properties": {
                  "build": {
                    "type": "string",
                    "example": "latest"
                  },
                  "timeoutSecs": {
                    "type": "integer",
                    "example": 300
                  },
                  "memoryMbytes": {
                    "type": "integer",
                    "example": 1024
                  },
                  "diskMbytes": {
                    "type": "integer",
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              },
              "buildId": {
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              "defaultKeyValueStoreId": {
                "type": "string"
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              "defaultDatasetId": {
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              "defaultRequestQueueId": {
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              "buildNumber": {
                "type": "string",
                "example": "1.0.0"
              },
              "containerUrl": {
                "type": "string"
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              "usage": {
                "type": "object",
                "properties": {
                  "ACTOR_COMPUTE_UNITS": {
                    "type": "integer",
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                  },
                  "DATASET_READS": {
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                  },
                  "DATASET_WRITES": {
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                  },
                  "KEY_VALUE_STORE_READS": {
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                  },
                  "KEY_VALUE_STORE_WRITES": {
                    "type": "integer",
                    "example": 1
                  },
                  "KEY_VALUE_STORE_LISTS": {
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                    "example": 0
                  },
                  "REQUEST_QUEUE_READS": {
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                  },
                  "REQUEST_QUEUE_WRITES": {
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                  },
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                    "example": 0
                  },
                  "DATA_TRANSFER_EXTERNAL_GBYTES": {
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                    "example": 0
                  },
                  "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
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                  "PROXY_SERPS": {
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              },
              "usageTotalUsd": {
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              },
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                  },
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                    "type": "integer",
                    "example": 0
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                    "type": "integer",
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                  },
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                    "type": "integer",
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                  "DATA_TRANSFER_EXTERNAL_GBYTES": {
                    "type": "integer",
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                  },
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Google Scholar 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 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 Scraper API in Python

Google Scholar Scraper API in JavaScript

Google Scholar Scraper API through CLI

Google Scholar Scraper API

Google Scholar Scraper

lulzasaur/google-scholar-scraper

Scrape Google Scholar search results with titles, authors, citations, abstracts, and PDF links. Also supports author profile mode to extract h-index, i10-index, and publication lists.

lulz bot

Google Scholar Scraper

george.the.developer/google-scholar-scraper

Scrape Google Scholar for academic papers, citations, author profiles. No API key needed. Extract titles, authors, abstracts, citation counts, PDF links, h-index, i10-index. Export JSON, CSV, Excel. Anti-bot protection with residential proxies, UA rotation, CAPTCHA detection.

George Kioko

5.0

Google Scholar Scraper

automation-lab/google-scholar-scraper

Search Google Scholar and extract academic papers. Get titles, authors, citation counts, abstracts, PDF links, and publication details. Supports year filtering.

Stas Persiianenko

Google Scholar | Research Papers, Citations & Author Profiles

johnvc/google-scholar-api

Scrape Google Scholar at scale. Search research papers, get citation formats (MLA, APA, Chicago, BibTeX), author profiles with h-index and i10-index, list an author's publications, view per-article citation history, & map co-author networks. Six modes in one for lit reviews, bibliometrics, & agents.

John

5.0

Google Scholar Scraper — Academic Papers & Citations

muhammadafzal/google-scholar-scraper

Extract academic paper titles, authors, abstracts, citation counts, publication details, and PDF links from Google Scholar. Fast, reliable, no browser overhead. Search by keyword, topic, or author name. MCP-optimized for AI agents.

Muhammad Afzal

Google Scholar Scraper - Academic Papers Search

gio21/google-scholar-scraper

Search Google Scholar for academic papers. Get title, authors, year, publication, snippet, cited-by count, PDF links. Filter by year range, language.

Gio

Google Scholar Scraper — Papers, Citations & Author Profiles

khadinakbar/google-scholar-scraper

Scrape Google Scholar across 6 modes: paper search, citation export (BibTeX/APA/MLA/Chicago), author profiles (h-index, i10-index), publication lists, citation history, and co-author networks. MCP-ready. Hybrid Camoufox + SerpApi managed/BYOK fallback for high reliability.

Khadin Akbar

📄 Academic Paper Scraper — Research & Citations

nexgendata/academic-paper-scraper

Scrape academic papers, research articles, citations, author profiles, and h-index data from Google Scholar. Extract abstracts, publication dates, journal names, and citation counts for literature reviews.

NexGenData

🎓 Google Scholar Scraper — Papers & Citations

nexgendata/google-scholar-scraper

Scrape Google Scholar for papers, citations, authors & h-index data. Semantic Scholar, Scopus & Web of Science alternative for literature reviews, citation analysis, author clustering and research analytics. Pay per paper.

NexGenData

Semantic Scholar Author Profiles Scraper

parseforge/semantic-scholar-author-profiles-scraper

Collect researcher profiles from Semantic Scholar. Extract h-index, citation counts, publication history, affiliations, and external IDs for any academic author. Search by name or author ID. Download structured data as CSV, JSON, or Excel for research evaluation, talent scouting, and grant reviews.