# Gbif Biodiversity Scraper (`openclawmara/gbif-biodiversity-scraper`) Actor - **URL**: https://apify.com/openclawmara/gbif-biodiversity-scraper.md - **Developed by:** [OpenClaw Mara](https://apify.com/openclawmara) (community) - **Categories:** Developer tools - **Stats:** 2 total users, 1 monthly users, 0.0% runs succeeded, NaN 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/platform/actors/running/actors-in-store#pay-per-usage ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. 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. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use 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 ## GBIF Biodiversity Data Scraper Scrape species, occurrence records, and datasets from the **Global Biodiversity Information Facility (GBIF)** — the world's largest open biodiversity database with **2+ billion occurrence records**. ### Features - **Species Search** — Find species by common or scientific name, filter by taxonomy (kingdom, phylum, family, genus) - **Species Details** — Get comprehensive info including vernacular names, distributions, and full taxonomy - **Occurrence Search** — Find biodiversity sightings with GPS coordinates, dates, and collection metadata - **Dataset Discovery** — Search research datasets by topic, type, or publishing country ### Use Cases - **Ecological research** — Find occurrence data for species distribution modeling - **Conservation** — Track species sightings across regions and time periods - **Data journalism** — Build biodiversity visualizations from open data - **Education** — Access taxonomic data for learning and teaching - **Citizen science** — Aggregate and analyze biodiversity observations ### Input Examples #### Search for species ```json { "mode": "species_search", "query": "Panthera tigris", "limit": 10 } ```` #### Get species details ```json { "mode": "species_details", "speciesKey": 5219404 } ``` #### Find occurrences (sightings) ```json { "mode": "occurrence_search", "scientificName": "Panthera tigris", "country": "IN", "year": "2024", "limit": 50 } ``` #### Search datasets ```json { "mode": "dataset_search", "query": "butterflies", "datasetType": "OCCURRENCE", "limit": 10 } ``` ### Output Results are pushed to the default Apify dataset. Each mode returns structured JSON with relevant fields: - **Species**: scientific name, taxonomy, occurrence counts, vernacular names - **Occurrences**: coordinates, dates, collection info, recording institutions - **Datasets**: title, description, record counts, DOI, license ### API Uses the [GBIF REST API](https://www.gbif.org/developer/summary) — no authentication required. Free and open access. ### Limits - GBIF API returns up to 1000 results per request (species/datasets) or 300 (occurrences) - Use `offset` parameter for pagination through larger result sets - Rate limits are generous for the public API # Actor input Schema ## `mode` (type: `string`): What type of data to scrape. ## `query` (type: `string`): Search term (for species\_search and dataset\_search modes). Examples: 'tiger', 'orchid', 'Panthera tigris'. ## `speciesKey` (type: `integer`): GBIF species key (for species\_details mode). Get this from species\_search results. ## `scientificName` (type: `string`): Filter occurrences by scientific name (for occurrence\_search mode). Example: 'Panthera tigris'. ## `kingdom` (type: `string`): Filter by taxonomic kingdom. ## `phylum` (type: `string`): Filter by taxonomic phylum. Example: 'Chordata'. ## `family` (type: `string`): Filter by taxonomic family. Example: 'Felidae'. ## `genus` (type: `string`): Filter by genus. Example: 'Panthera'. ## `rank` (type: `string`): Filter by taxonomic rank. ## `country` (type: `string`): Two-letter ISO country code to filter occurrences or datasets. Example: 'US', 'BR', 'AU'. ## `year` (type: `string`): Filter occurrences by year or year range. Examples: '2024', '2020,2024' (range). ## `datasetType` (type: `string`): Filter datasets by type. ## `limit` (type: `integer`): Maximum number of results to return. ## `offset` (type: `integer`): Number of results to skip (for pagination). ## Actor input object example ```json { "mode": "species_search", "limit": 20, "offset": 0 } ``` # 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 '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = {}; // Run the Actor and wait for it to finish const run = await client.actor("openclawmara/gbif-biodiversity-scraper").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/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = {} # Run the Actor and wait for it to finish run = client.actor("openclawmara/gbif-biodiversity-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{}' | apify call openclawmara/gbif-biodiversity-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=openclawmara/gbif-biodiversity-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Gbif Biodiversity Scraper", "version": "1.0", "x-build-id": "fkHCtfr5HIZWnEpy8" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/openclawmara~gbif-biodiversity-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-openclawmara-gbif-biodiversity-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/openclawmara~gbif-biodiversity-scraper/runs": { "post": { "operationId": "runs-sync-openclawmara-gbif-biodiversity-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/openclawmara~gbif-biodiversity-scraper/run-sync": { "post": { "operationId": "run-sync-openclawmara-gbif-biodiversity-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "required": [ "mode" ], "properties": { "mode": { "title": "Scraping Mode", "enum": [ "species_search", "species_details", "occurrence_search", "dataset_search" ], "type": "string", "description": "What type of data to scrape.", "default": "species_search" }, "query": { "title": "Search Query", "type": "string", "description": "Search term (for species_search and dataset_search modes). Examples: 'tiger', 'orchid', 'Panthera tigris'." }, "speciesKey": { "title": "Species Key", "type": "integer", "description": "GBIF species key (for species_details mode). Get this from species_search results." }, "scientificName": { "title": "Scientific Name", "type": "string", "description": "Filter occurrences by scientific name (for occurrence_search mode). Example: 'Panthera tigris'." }, "kingdom": { "title": "Kingdom", "enum": [ "Animalia", "Plantae", "Fungi", "Bacteria", "Archaea", "Protozoa", "Chromista", "Viruses" ], "type": "string", "description": "Filter by taxonomic kingdom." }, "phylum": { "title": "Phylum", "type": "string", "description": "Filter by taxonomic phylum. Example: 'Chordata'." }, "family": { "title": "Family", "type": "string", "description": "Filter by taxonomic family. Example: 'Felidae'." }, "genus": { "title": "Genus", "type": "string", "description": "Filter by genus. Example: 'Panthera'." }, "rank": { "title": "Taxonomic Rank", "enum": [ "KINGDOM", "PHYLUM", "CLASS", "ORDER", "FAMILY", "GENUS", "SPECIES", "SUBSPECIES" ], "type": "string", "description": "Filter by taxonomic rank." }, "country": { "title": "Country Code", "type": "string", "description": "Two-letter ISO country code to filter occurrences or datasets. Example: 'US', 'BR', 'AU'." }, "year": { "title": "Year", "type": "string", "description": "Filter occurrences by year or year range. Examples: '2024', '2020,2024' (range)." }, "datasetType": { "title": "Dataset Type", "enum": [ "OCCURRENCE", "CHECKLIST", "METADATA", "SAMPLING_EVENT" ], "type": "string", "description": "Filter datasets by type." }, "limit": { "title": "Max Results", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Maximum number of results to return.", "default": 20 }, "offset": { "title": "Offset", "minimum": 0, "type": "integer", "description": "Number of results to skip (for pagination).", "default": 0 } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```