RESP: Research Papers Search
Fetch academic research papers from multiple sources including Google Scholar, Arxiv, Semantic Scholar, ACL, ACM, and more
Installation
pip install respsearch
For Connected Papers support (requires Selenium):
pip install respsearch[selenium]
Quick Start
Simple API (Recommended)
from resp import arxiv, semantic_scholar, acm, google_scholar
# Arxiv - No API key needed
papers = arxiv.search_papers("deep learning", max_results=10)
# Semantic Scholar - No API key needed
papers = semantic_scholar.search_papers("natural language processing", max_results=5)
# ACM Digital Library - No API key needed
papers = acm.search_papers("machine learning", max_results=5)
# Google Scholar - Requires free SerpAPI key from https://serpapi.com/
google_scholar.set_api_key("your_serpapi_key")
papers = google_scholar.search_papers("machine learning", num_results=10)
Advanced API (Direct Class Access)
from resp.apis.arxiv_api import Arxiv
from resp.apis.semantic_s import Semantic_Scholar
from resp.apis.serp_api import Serp
# Arxiv
ap = Arxiv()
papers = ap.arxiv('deep learning', max_pages=5)
# Semantic Scholar
sc = Semantic_Scholar()
papers = sc.ss('neural networks', max_pages=3)
# Google Scholar via Serp
serp = Serp(api_key="your_serpapi_key")
papers = serp.google_scholar_search('transformers', max_pages=2)
Features
- 🔍 Search papers by keywords across multiple academic sources
- 📚 Fetch citations of any paper from Google Scholar
- 🔗 Find related papers from Google Scholar
- 🕸️ Connected Papers - discover papers using similarity graphs (not just citations)
Supported Sources
| Source | API Key Required | Status |
|---|---|---|
| Arxiv | ✅ Free | ✅ Working |
| Semantic Scholar | ✅ Free | ✅ Working |
| Google Scholar | 🔑 Required (SerpAPI) | ✅ Working |
| ACM Digital Library | ✅ Free | ⚠️ Limited* |
| ACL Anthology | ✅ Free | ✅ Via Resp |
| PMLR | ✅ Free | ✅ Via Resp |
| NeurIPS | ✅ Free | ✅ Via Resp |
| IJCAI | ✅ Free | ✅ Via Resp |
| OpenReview | ✅ Free | ✅ Via Resp |
| CVF Open Access | ✅ Free | ✅ Via Resp |
| Connected Papers | ✅ Free | ✅ Requires Selenium |
*ACM website structure changes frequently, may return limited results
Advanced Features
Google Scholar: Get Citations & Related Papers
from resp import google_scholar
# Set API key once
google_scholar.set_api_key("your_serpapi_key")
# Search papers
papers = google_scholar.search_papers("attention mechanism", num_results=5)
# Get citations for a paper
citations = google_scholar.get_citations("Attention is all you need")
# Get related papers
related = google_scholar.get_related_papers("BERT language model")
Connected Papers (Requires Selenium)
from resp import connected_papers
# Install first: pip install respsearch[selenium]
papers = connected_papers().get_connected_papers("paper_title")
Using Resp Class for Multiple Sources
from resp import Resp
# Search across ACL, PMLR, NeurIPS, etc.
resp = Resp()
papers = resp.search_papers("keyword", source="acl")
Citation
If you find this repository useful, please cite:
@misc{Resp2021,
title = {RESP: Research Papers Search},
author = {Pal, Ankit},
year = {2021},
howpublished = {\url{https://github.com/monk1337/resp}},
note = {Fetch academic research papers from multiple sources}
}
Support
If you'd like to support this project:
Metadata
Release files for respsearch 0.1.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| respsearch-0.1.2.tar.gz | 27.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| respsearch-0.1.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 45.7 kB
Release files / respsearch-0.1.2.tar.gz
| Download URL | respsearch-0.1.2.tar.gz |
|---|---|
| Size | 27.9 kB |
| Tags | Source |
|
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| Size | 17.8 kB |
| Tags | Python 3 |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.7
|
Provenance
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