scitex-web
Web scraping + PubMed search + URL summarization helpers.
Full Documentation · uv pip install scitex-web[all]
Problem and Solution
| # | Problem | Solution |
|---|---|---|
| 1 | Bulk-fetching links / images means handwriting requests+bs4 boilerplate every project |
get_urls, get_image_urls, download_images — pattern + min-size + same-domain filters in one call |
| 2 | PubMed E-utilities require XML parsing, retries, and pagination — easy to get wrong | search_pubmed(query, retmax=N) — returns parsed records; handles pagination + rate limits |
| 3 | Skimming an article means opening a tab, grabbing the body, summarizing manually | summarize_url(url) — readability extraction + LLM summary (via the SciTeX umbrella) |
Architecture
scitex_web/
├── _scrape.py # get_urls / get_image_urls / download_images
├── _pubmed.py # search_pubmed (E-utilities client)
├── _summarize.py # summarize_url (deferred GenAI import)
└── _utils.py # shared logging + ANSI helpers
flowchart LR
URL[URL] -->|get_urls / get_image_urls| L[Filtered links]
L -->|download_images| F[Local files]
Q[Query string] -->|search_pubmed| R[Parsed PubMed records]
A[Article URL] -->|summarize_url| S[Summary text]
S -.uses.-> AI[(scitex.ai.GenAI<br/>deferred import)]
style F fill:#27ae60,stroke:#2c3e50,color:#fff
style R fill:#27ae60,stroke:#2c3e50,color:#fff
style S fill:#27ae60,stroke:#2c3e50,color:#fff
Figure 1. Module layout. Three independent capabilities — scraping, PubMed search, URL summarization. Only summarization needs the umbrella scitex for the GenAI client.
Installation
pip install scitex-web
pip install "scitex-web[readability]" # readability-lxml for cleaner extraction
Quick Start
import scitex_web as web
results = web.search_pubmed("CRISPR Cas9 review", retmax=5)
images = web.get_image_urls("https://example.com/gallery", min_size=128)
1 Interfaces
Python API
import scitex_web as web
# Scraping
web.get_urls(url, pattern=r"\.pdf$")
web.get_image_urls(url, min_size=128)
web.download_images(url, out_dir="imgs", same_domain=True)
# PubMed
web.search_pubmed("CRISPR Cas9 review", retmax=50)
# URL summarization (requires scitex.ai umbrella)
web.summarize_url("https://example.com/article")
Demo
import scitex_web as web
# 1) Scrape PDFs from a faculty page
pdfs = web.get_urls("https://lab.example.edu/publications", pattern=r"\.pdf$")
# → ['https://lab.example.edu/papers/2024_smith.pdf', ...]
# 2) Bulk-download figures (same domain, ≥256px)
web.download_images(
"https://example.com/gallery",
out_dir="imgs",
same_domain=True,
min_size=256,
)
# 3) Search PubMed
records = web.search_pubmed("CRISPR Cas9 review", retmax=5)
for r in records:
print(r["pmid"], r["title"])
# 4) Summarize an article (requires umbrella scitex)
print(web.summarize_url("https://example.com/article"))
flowchart TD
Start[Start] --> Want{Goal?}
Want -- "harvest URLs" --> A[get_urls / get_image_urls]
Want -- "save images" --> B[download_images]
Want -- "search literature" --> C[search_pubmed]
Want -- "summarize article" --> D[summarize_url]
A --> Out[List / DataFrame]
B --> Out2[Files on disk]
C --> Out3[Parsed records]
D --> Out4[Text summary]
style Out fill:#27ae60,stroke:#2c3e50,color:#fff
style Out2 fill:#27ae60,stroke:#2c3e50,color:#fff
style Out3 fill:#27ae60,stroke:#2c3e50,color:#fff
style Out4 fill:#27ae60,stroke:#2c3e50,color:#fff
Figure 2. Demo. Pick a helper by output shape: links, files, records, or summary text.
Status
Standalone fork of scitex.web. Deps: requests / aiohttp / bs4 / tqdm. The
umbrella package's scitex.web import path is preserved via a
sys.modules-alias bridge.
Decoupling notes:
scitex.logging.getLogger→ stdliblogging.getLogger.scitex.str.printc(colored print) → tiny inline ANSI helper.scitex.ai.GenAI(used bysummarize_url) → deferred import that raises a clear ImportError if the umbrellascitexpackage isn't installed.
Part of SciTeX
scitex-web is part of SciTeX. Install via
the umbrella with pip install scitex[web] to use as
scitex.web (Python) or scitex web ... (CLI).
Four Freedoms for Research
- The freedom to run your research anywhere — your machine, your terms.
- The freedom to study how every step works — from raw data to final manuscript.
- The freedom to redistribute your workflows, not just your papers.
- The freedom to modify any module and share improvements with the community.
AGPL-3.0 — because we believe research infrastructure deserves the same freedoms as the software it runs on.
License
AGPL-3.0-only (see LICENSE).
Metadata
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Total release size: 68.7 kB
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