# GBIF Species Intelligence (`wakey7dev/gbif-species-intelligence`) Actor

Query GBIF for species occurrence data — taxonomy, geographic distribution, observation records. Biodiversity research, ecology, conservation monitoring.

- **URL**: https://apify.com/wakey7dev/gbif-species-intelligence.md
- **Developed by:** [Chris Wakefield](https://apify.com/wakey7dev) (community)
- **Categories:** AI
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

Pay per usage

This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-usage

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

![Chris The Dev](https://raw.githubusercontent.com/chriswakefield87/appstore-screenshot-translator/main/assets/actor-banner.png)

## GBIF Species Intelligence Normalizer

Search the Global Biodiversity Information Facility (GBIF) and receive clean, deduplicated biodiversity occurrence records with accepted taxonomy, normalized country codes, consistent record fields, and direct source links. GBIF is a global open-data infrastructure used by researchers, conservation teams, environmental consultants, and biodiversity analysts.

### Why use this Actor?

GBIF records come from thousands of institutions and vary in naming, casing, locality fields, and taxonomic spelling. This Actor resolves the requested name through GBIF's taxonomic backbone, uses the accepted GBIF taxon key for occurrence search, removes duplicate occurrence keys, and preserves the original verbatim scientific name for auditability.

### Input parameters

| Parameter | Type | Required | Description |
|---|---:|:---:|---|
| `scientificName` | string | Yes | Species, genus, or other name understood by GBIF. |
| `country` | string | No | Two-letter ISO country code, such as `KE` or `GB`. |
| `maxResults` | integer | No | Maximum records (1–100). Default: `20`. |

### Example input

```json
{"scientificName":"Panthera leo","country":"KE","maxResults":10}
```

### Example normalized output

```json
{
  "occurrenceKey": "1234567890",
  "taxon": {
    "acceptedName": "Panthera leo (Linnaeus, 1758)",
    "canonicalName": "Panthera leo",
    "rank": "SPECIES",
    "taxonomicStatus": "ACCEPTED",
    "gbifTaxonKey": 5219404,
    "confidence": 99
  },
  "verbatimScientificName": "Panthera leo",
  "country": "KE",
  "eventDate": "2020-01-15",
  "basisOfRecord": "HUMAN_OBSERVATION",
  "decimalLatitude": -1.29,
  "decimalLongitude": 36.82,
  "sourceUrl": "https://www.gbif.org/occurrence/1234567890"
}
```

### Use cases

- Biodiversity and conservation research
- Environmental impact assessment data preparation
- Species-distribution and ecological modelling
- Museum, university, and citizen-science dataset harmonization
- AI/ML training-data preparation with traceable source records

### Data source and attribution

Data is retrieved live from the [GBIF Species API](https://api.gbif.org/v1/species/match) and [GBIF Occurrence Search API](https://api.gbif.org/v1/occurrence/search). Please follow the [GBIF data-use and citation guidance](https://www.gbif.org/terms/data-use).

### Output locations

The Actor writes normalized records to the default dataset. It also provides a formatted summary in the `OUTPUT` key-value record, the complete array in `RESULTS`, and machine-readable run statistics in `STATS`.

# Actor input Schema

## `scientificName` (type: `string`):

Species, genus, or common name accepted by GBIF.

## `country` (type: `string`):

Optional two-letter ISO country code, e.g. KE or GB.

## `maxResults` (type: `integer`):

Maximum normalized occurrence records to return (1–100).

## Actor input object example

```json
{
  "scientificName": "Panthera leo",
  "maxResults": 20
}
```

# Actor output Schema

## `results` (type: `string`):

Full normalized dataset items.

## `summary` (type: `string`):

Human-readable run summary.

## `stats` (type: `string`):

Machine-readable statistics.

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "scientificName": "Panthera leo"
};

// Run the Actor and wait for it to finish
const run = await client.actor("wakey7dev/gbif-species-intelligence").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "scientificName": "Panthera leo" }

# Run the Actor and wait for it to finish
run = client.actor("wakey7dev/gbif-species-intelligence").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "scientificName": "Panthera leo"
}' |
apify call wakey7dev/gbif-species-intelligence --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,wakey7dev/gbif-species-intelligence"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/AjCAryM71axQ3PRbt/builds/sk61ijYVXyBlYLiII/openapi.json