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Cellosaurus Cell Lines Scraper

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from $0.50 / 1,000 results

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Cellosaurus Cell Lines Scraper

Cellosaurus Cell Lines Scraper

$0.5/1K πŸ”₯ Cellosaurus Cells! Look up cell lines with origin, disease & cross-references. No key. JSON, CSV, Excel or API in seconds. Verify cell-line identity for lab research ⚑

Pricing

from $0.50 / 1,000 results

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ninhothedev

ninhothedev

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3 days ago

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Structured cell-line metadata from Cellosaurus β€” the reference knowledge base of cell lines used in biomedical research. Get species, disease, sex, age, origin, STR profiles and 30+ database cross-references for any cell line, as clean JSON. No API key required.

Pricing: pay-as-you-go, roughly ~$0.5 per 1,000 cell lines. Cellosaurus data is licensed CC-BY-4.0.

Why this actor

Cell-line misidentification and cross-contamination is one of the biggest reproducibility problems in the life sciences. Every record this actor emits carries an is_problematic flag β€” set whenever Cellosaurus marks a line as "Problematic cell line" or Contaminated. That single field turns a bulk export into a research-integrity screen you can run over your whole lab inventory.

Use cases

  • Cell line authentication β€” verify a line's identity, STR profile presence and known aliases before you trust an experiment.
  • Cancer research β€” filter by is_cancer, disease (NCIt) and category to build cohorts of cancer cell lines with their DepMap ids.
  • Reproducibility checks β€” screen your inventory against is_problematic to catch contaminated or misidentified lines.
  • Lab inventory enrichment β€” map internal names to canonical CVCL accessions, species, and provider cross-references.

Input

FieldTypeDescription
modeselectsearch (full-text queries) or accessions (explicit CVCL ids). Default search.
queriesarrayFree-text queries. Prefilled ["HeLa","Jurkat","HEK293"]. Used in search mode.
accessionsarrayExplicit CVCL ids, e.g. ["CVCL_0030"]. Used in accessions mode.
maxItemsintegerMax records to store. Default 200, max 3000.

Example input

{
"mode": "search",
"queries": ["HeLa", "Jurkat", "HEK293"],
"maxItems": 200
}

Output

Each dataset item:

{
"type": "cell_line",
"accession": "CVCL_0030",
"secondary_accessions": [],
"name": "HeLa",
"synonyms": ["HELA", "He-La", "Henrietta Lacks cells"],
"category": "Cancer cell line",
"sex": "Female",
"age": "30Y6M",
"species": "Homo sapiens (Human)",
"species_accession": "9606",
"disease": "Human papillomavirus-related endocervical adenocarcinoma",
"disease_ncit": "C27677",
"derived_from": null,
"is_problematic": false,
"is_cancer": true,
"str_profile_present": true,
"cross_references": [{"db": "DepMap", "accession": "ACH-001086"}],
"depmap_id": "ACH-001086",
"comment_count": 34,
"web_pages": [],
"url": "https://www.cellosaurus.org/CVCL_0030",
"source": "cellosaurus",
"scraped_at": "2026-08-11T00:00:00Z"
}

All fields are nullable. cross_references is capped at 30 and web_pages at 5.

Data source & license

Data from Cellosaurus (SIB Swiss Institute of Bioinformatics), licensed CC-BY-4.0. This actor is an independent tool and is not affiliated with SIB.