boltpy 0.1.7

BOLT: Bibliographic Orchestration for Literature Triage

boltpy (BOLT)

BOLT = Bibliographic Orchestration for Literature Triage

boltpy is a Python toolkit to collect and triage literature results from multiple scholarly sources (Crossref, OpenAlex, PubMed, arXiv, Europe PMC, Zenodo, and optionally Elsevier Scopus).

It is designed for literature reviews where you want to:

• choose a set of keywords,
• choose which APIs/sources to query,
• provide API keys when required,
• set a maximum number of results per source,
• receive a clean, deduplicated dataset (plus an ASReview-friendly export).

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Features

• Multi-source harvesting (select the APIs you want)
• Per-source ceilings (ceilings={"crossref": 150, "openalex": 200, ...})
• Optional API key support # currently only Elsevier Scopus is supported
• Deduplication:
  • DOI-based
  • exact normalized title
  • fuzzy title matching
• Export:
  • full CSV (all fields)
  • ASReview CSV (title/abstract/authors/year/doi/url)
  • PRISMA-style counters (JSON)

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Install

pip install boltpy

Example

from boltpy.core import HarvestConfig, harvest

cfg = HarvestConfig( keywords=["your keyword 1", "your keyword 2"], apis=["crossref", "openalex", "pubmed", "arxiv", "europe_pmc", "zenodo"], default_ceiling=100, output_dir="outputs", # optional: exports CSV + JSON export_prefix="boltpy_demo", )

res = harvest(cfg)

Full dataset (all fields)

print(res.full.head())

PRISMA-like counters

print(res.prisma)

Written files (if output_dir is set)

print(res.output_paths)