Google Scholar Scraper
Pricing
from $4.06 / 1,000 results
Google Scholar Scraper
Retrieve paper metadata from Google Scholar search results. Pull title, authors, year, journal, citations, cited by, and h-index for each result. Use search terms, language, and year filters to target research. Ideal for literature reviews, citation analysis, and academic trend tracking.
Pricing
from $4.06 / 1,000 results
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ParseForge
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Google Scholar Scraper
Extract academic paper metadata from Google Scholar search results – including titles, authors, citation counts, publication years, and h-indexes – to enable systematic literature reviews, competitor research, or citation analysis.
Features
- Scrape search results for any query on Google Scholar
- Filter results by publication year range
- Choose from eight result languages (English, French, German, Spanish, Chinese, Japanese, Portuguese, Russian)
- Set a maximum number of results to collect
- Automatically rotate proxies to avoid blocks (Apify Proxy supported)
- Output clean JSON with key fields like title, authors, cited_by, year, journal, h_index, and citations
Input
| Field | Type | Default | Description |
|---|---|---|---|
| searchQuery | string | (required) | Enter search terms for Google Scholar (e.g., machine learning). |
| language | string | en | Language of the results (e.g., en for English). |
| yearFrom | integer | 2020 | Start year for publication date filter (e.g., 2020). |
| yearTo | integer | 2025 | End year for publication date filter (e.g., 2025). |
| maxItems | integer | 100 | Maximum number of search results to scrape. |
| proxyConfiguration | object | {"useApifyProxy":true} | Configure proxies for scraping Google Scholar. |
Output
Each dataset item is a JSON object representing a single search result. Example:
{"title": "Machine learning: a review","authors": ["Michael I. Jordan", "Tom M. Mitchell"],"cited_by": 1234,"year": 2015,"journal": "Science","h_index": 85,"citations": 5678}
Usage
- Go to the Google Scholar Scraper on Apify Console. Sign up for a free account if you don’t have one.
- In the input form, set your search query (e.g., "deep learning"), choose a language, optionally restrict years, and decide how many results to scrape.
- Click Start and wait for the run to complete. Your results will be available as a downloadable dataset (JSON, CSV, Excel, etc.). 🆘 Need Help? Open our contact form
⚠️ Disclaimer: independent tool, not affiliated with the source website. Only publicly available data is collected.
