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GBIF Taxonomy Intelligence

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GBIF Taxonomy Intelligence

GBIF Taxonomy Intelligence

Resolve species names to accepted GBIF taxonomy — taxon keys, classification hierarchy, occurrence data. Biodiversity research, ecology, conservation.

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Pay per usage

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Chris Wakefield

Chris Wakefield

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GBIF Taxonomy & Occurrence Normalizer

Turn the Global Biodiversity Information Facility (GBIF) into clean, analysis-ready biodiversity data. This Actor resolves a searched name to GBIF's accepted taxonomy, fetches occurrence records worldwide, flattens useful Darwin Core fields, preserves raw names for auditability, and removes duplicate records.

Why this is useful

  • Biodiversity and conservation teams: build species distribution datasets.
  • Environmental consultants: prepare evidence for surveys and impact assessments.
  • Researchers and data teams: obtain reproducible, normalized occurrence data without writing API pagination code.
  • AI and analytics pipelines: consume stable JSON through Apify's dataset and output URLs.

Input parameters

ParameterTypeRequiredDescription
scientificNamestringnoSpecies or taxon, e.g. Panthera leo.
maxResultsintegerno1-300 unique records; default 20.
countrystringnoOptional ISO country code, e.g. KE.
basisOfRecordstringnoOptional GBIF record type filter.

Example input

{"scientificName":"Panthera leo","country":"KE","maxResults":10,"basisOfRecord":"HUMAN_OBSERVATION"}

Example output

Each dataset item includes gbifKey, cleaned location/date/observer fields, a taxon object with accepted taxonomy and scientificNameRaw, and a reproducible sourceUrl. A readable table is also saved to the OUTPUT key-value record; machine-readable STATS and the complete RESULTS array are saved alongside it.

{"gbifKey":6129864876,"countryCode":"KE","eventDate":"2024-01-01","taxon":{"scientificName":"Panthera leo","taxonKey":5219404,"family":"Felidae"}}

Data source and attribution

Data is retrieved live from the GBIF API, the Global Biodiversity Information Facility. GBIF data is provided under the licences and attribution requirements attached to each contributing dataset; review source metadata before redistribution.