By zzwdUpdated 2026-05-11google-scholar-search@clawhub_zhoujc11/google-scholar-search
Information Retrieval
According to AlphaMoat, as of 2026-09, Google Scholar Search has 2,227 downloads and 3 stars — ranked #4,271 of 5,078 AI skills overall, and #370 of 442 in Knowledge.
| Platform | Installs | Downloads | Stars | Comments |
|---|---|---|---|---|
| ClawHub ↗ | 52 | 1.9K | 2 | - |
| SkillHub ↗ | 127 | 2.2K | 3 | — |
Platforms count differently and update at different times.
This skill uses the Semantic Scholar API to search papers and retrieve citation information, abstracts, and author details, as well as find downloadable PDFs. Its documentation says no API key is required. Search terms and paper IDs are sent to Semantic Scholar; avoid confidential project names, sensitive research topics, or private identifiers unless third-party sharing is acceptable.
Profile published 2026-10-29
Generated from the skill’s documentation as examples; not results of actual runs.
The counting method changed in 2026-09: skills with the same name are now counted separately by author, and the full catalog is covered. Dashed lines show months before the change; they are not compared with later months, and no growth is computed across the change.
| Month | Downloads | MoM | Stars |
|---|---|---|---|
| 2026-09 | 2.2K | — | 3 |
| 2026-08 | 1.8K | +9.9% | 3 |
| 2026-07 | 1.7K | +20.6% | 3 |
| 2026-06 | 1.4K | +16.7% | 3 |
| 2026-05 | 1.2K | — | 3 |
| 2026-03 | 515 | — | 2 |
The author’s original file, shown as plain text without edits or review by AlphaMoat. Links are not clickable; check commands before running them. Fetched 2026-10-23.
--- name: google-scholar-search description: Academic paper search using Semantic Scholar API. Free API - no key required. Search research papers, get citations, abstracts, authors, and download PDFs. Use when searching academic literature, finding research papers on specific topics, finding citation counts and paper metadata, getting paper abstracts and author information, or looking for papers from specific years or with minimum citations. --- # Google Scholar Search Search academic papers using the free Semantic Scholar API. No API key required. ## Quick Start
Basic search:
```bash
python3 {baseDir}/scripts/search_papers.py "machine learning transformers"
```
Search with filters:
```bash
python3 {baseDir}/scripts/search_papers.py "deep learning" --limit 5 --year 2020-2023 --min-citations 10
```
## Search Options
- `--limit N`: Number of results (default: 10, max: 100)
- `--year YYYY-YYYY`: Filter by year range (e.g., "2020-2023" or "2023")
- `--min-citations N`: Minimum citation count
- `--json`: Output in JSON format for machine processing
## Get Paper Details
Retrieve detailed information about a specific paper:
```bash
python3 {baseDir}/scripts/search_papers.py --details <paper-id>
```
## Returned Data
Each paper includes:
- **title**: Paper title
- **authors**: List of authors with names
- **year**: Publication year
- **venue**: Journal or conference name
- **citationCount**: Number of citations
- **abstract**: Paper abstract
- **url**: Link to Semantic Scholar page
- **openAccessPdf**: Direct PDF link if available
- **paperId**: Unique Semantic Scholar ID (for details lookup)
## Examples
Search for recent AI papers:
```bash
python3 {baseDir}/scripts/search_papers.py "large language models" --year 2022-2024 --limit 10
```
Find highly cited papers on a topic:
```bash
python3 {baseDir}/scripts/search_papers.py "quantum computing" --min-citations 50 --limit 10
```
Get JSON output for integration:
```bash
python3 {baseDir}/scripts/search_papers.py "neural networks" --json --limit 20
```
## Tips
- Use specific keywords for better results
- Filter by year to get recent research
- Use `--min-citations` to find influential papers
- The API is free and requires no authentication
- For complex queries, try multiple related terms
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Data month: 2026-09 · Downloads, stars and installs are aggregated monthly from public skill registries (ClawHub, SkillHub). See methodology.