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BioModels Systems Biology Models Scraper

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from $0.50 / 1,000 results

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BioModels Systems Biology Models Scraper

BioModels Systems Biology Models Scraper

$0.5/1K πŸ”₯ BioModels Scraper! Grab curated systems-biology models, metadata, authors & publications from the EBI BioModels repository. No key. JSON, CSV, Excel or API in seconds. Feed a research pipeline or model database ⚑

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from $0.50 / 1,000 results

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ninhothedev

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Scrape curated mathematical models of biological systems from the EBI BioModels repository β€” the reference database for reproducible, quantitative models in systems biology. Get SBML file metadata, curation status, modelling approach, and full publication details (title, journal, year, authors, link, synopsis) in one clean dataset. No API key required.

Pricing: pay-as-you-go, roughly ~$0.5 per 1,000 models in platform usage. BioModels content is released under CC0 (public domain).

What it does

Two modes:

  • search β€” query BioModels by keyword (e.g. glycolysis, circadian, apoptosis). Each matching model is enriched with its full detail record.
  • models β€” fetch explicit model IDs directly (e.g. BIOMD0000000012, MODEL1234567890).

Input

FieldTypeDescription
modeselectsearch (keyword query) or models (explicit IDs). Default search.
queriesarrayKeywords to search for. Prefilled ["glycolysis","circadian","apoptosis"]. Used in search mode.
modelIdsarrayExplicit BioModels IDs. Used in models mode.
maxItemsintegerMax models to scrape. Default 200, max 3000.

Example input

{
"mode": "search",
"queries": ["glycolysis", "circadian"],
"maxItems": 100
}

Output

One record per model:

{
"type": "model",
"model_id": "BIOMD0000000012",
"name": "Elowitz2000 - Repressilator",
"description": "This model describes the deterministic version of the repressilator system.",
"format": "SBML",
"curation_status": "CURATED",
"modelling_approach": "ordinary differential equation model",
"submitter": "Nicolas Le Novere",
"submission_id": "MODEL6615351360",
"publication_title": "A synthetic oscillatory network of transcriptional regulators.",
"publication_journal": "Nature",
"publication_year": 2000,
"publication_authors": ["M B Elowitz", "S Leibler"],
"publication_link": "http://identifiers.org/pubmed/10659856",
"publication_synopsis": "Networks of interacting biomolecules carry out many essential functions...",
"main_file": "BIOMD0000000012_url.xml",
"main_file_size": 43901,
"additional_file_count": 15,
"last_modified": "2024-08-21T18:29:21+00:00",
"download_url": "https://www.ebi.ac.uk/biomodels/model/download/BIOMD0000000012",
"url": "https://www.ebi.ac.uk/biomodels/BIOMD0000000012",
"source": "biomodels",
"scraped_at": "2026-08-11T00:00:00+00:00"
}

Download the raw SBML from download_url for direct simulation.

Use cases

  • Systems biology β€” bulk-collect curated ODE/stochastic models for a pathway or topic.
  • Model reuse β€” find and reuse existing SBML models instead of rebuilding from scratch.
  • Quantitative biology teaching β€” assemble worked example models with their source papers.
  • Reproducibility β€” track curation status, provenance, and publication links for reproducible research.

Notes

Data is served by the public BioModels REST API (no key). Please be considerate with request volume. BioModels content is CC0-licensed.