# BGCI GlobalTreeSearch Tree Species Scraper (`jungle_synthesizer/bgci-globaltreesearch-threatened-tree-scraper`) Actor Scrapes the BGCI GlobalTreeSearch database — the authoritative list of all ~58,000 tree species worldwide, with conservation status, native-country distribution, and taxonomic data from the Botanic Gardens Conservation International. - **URL**: https://apify.com/jungle\_synthesizer/bgci-globaltreesearch-threatened-tree-scraper.md - **Developed by:** [BowTiedRaccoon](https://apify.com/jungle_synthesizer) (community) - **Categories:** AI, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per event This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## 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 ## BGCI GlobalTreeSearch Tree Species Scraper Scrapes the **BGCI GlobalTreeSearch** database — the authoritative, comprehensive list of the world's ~58,000 tree species maintained by the Botanic Gardens Conservation International (BGCI). Each record includes the full scientific name, plant family, taxonomic author, data source, native-country distribution, and known synonyms. GlobalTreeSearch is the primary reference behind the [Global Tree Assessment](https://www.bgci.org/our-work/projects-and-initiatives/global-tree-assessment/) and is used by arboreta, reforestation programmes, carbon and forestry projects, and conservation NGOs worldwide. This actor extracts the complete database into a flat, queryable dataset. ### Features - Scrapes all ~58,000 tree species from the BGCI GlobalTreeSearch JSON API - Supports targeted scraping by genus — specify one or more genera to limit the dataset - Extracts native-country distribution for every species (`TSGeolinks`) - Extracts taxonomic synonyms (`TSTaxas`) - No authentication required — uses the BGCI public data API - Polite rate limiting (200ms delay between genus requests) ### Use cases - **Carbon and reforestation projects** — verify species eligibility and native range for project countries - **Conservation NGOs** — track the full tree species inventory with distribution metadata - **ESG and biodiversity risk analytics** — build species datasets for portfolio screening - **Arboreta and botanical gardens** — collection planning and completeness audits - **AI training data** — authoritative tree taxonomy + geography for forestry models ### Input | Field | Type | Description | Default | |-------|------|-------------|---------| | `genera` | Array of strings | List of genus names to scrape (e.g. `["Quercus", "Abies"]`). Leave empty to scrape all ~4,162 genera. | `["Quercus", "Abies"]` | | `maxItems` | Integer | Maximum number of records to collect | `10` | **Example input (targeted):** ```json { "genera": ["Quercus", "Abies", "Pinus"], "maxItems": 1000 } ```` **Example input (full database):** ```json { "genera": [], "maxItems": 100000 } ``` ### Output Each record in the dataset represents one tree species: | Field | Type | Description | |-------|------|-------------| | `bgci_id` | Integer | GlobalTreeSearch internal record ID | | `taxon` | String | Full scientific name (genus + species + infraspecific epithets) | | `genus` | String | Genus name (derived from the taxon name) | | `family` | String | Plant family (e.g. `Fagaceae`, `Pinaceae`) | | `author` | String | Taxonomic author citation | | `source` | String | Data source (e.g. `IUCN RL tree review 2020`, `WCSP`) | | `problems` | String or null | Data-quality or nomenclatural notes | | `distribution_done` | String | Whether distribution mapping is complete (`yes` / `no`) | | `note` | String or null | Additional remarks | | `native_countries` | String | Semicolon-separated list of countries where the species is native | | `synonyms` | String | Semicolon-separated list of known taxonomic synonyms | | `bgci_url` | String | Link to the species record on the BGCI GlobalTreeSearch website | **Example record:** ```json { "bgci_id": 151050178, "taxon": "Quercus acatenangensis", "genus": "Quercus", "family": "Fagaceae", "author": "Trel.", "source": "IUCN RL tree review 2020", "problems": null, "distribution_done": "yes", "note": null, "native_countries": "El Salvador; Guatemala; Mexico", "synonyms": null, "bgci_url": "https://www.bgci.org/resources/bgci-databases/globaltreesearch/?species=Quercus%20acatenangensis" } ``` ### Performance and pricing - **Full database (all ~58k species):** requires iterating ~4,162 genus endpoints. Each genus request takes ~2–3 seconds including the polite delay, so a full run takes several hours. Set a high `maxItems` and plan for a longer run. - **Targeted genus scraping:** very fast — each genus returns instantly (e.g. `Quercus` returns ~424 species in one request). - **Pricing:** Pay-per-event (PPE) — you are charged only for records collected, not for run time. ### Data source Data is sourced from the [BGCI GlobalTreeSearch API](https://data.bgci.org/treesearch/) — the public JSON endpoint of the Botanic Gardens Conservation International's GlobalTreeSearch database. No API key or authentication is required. GlobalTreeSearch is distinct from: - **GBIF** — occurrence/observation points (where specimens have been found) - **IPNI** — nomenclature (plant name registry) - **GlobalTreeSearch** — tree-conservation status + native country distribution (this actor) ### Limitations - Distribution data (`native_countries`) reflects the BGCI's geo-linking records and may not be exhaustive for all species. - Conservation status (e.g. IUCN Red List category) is referenced in the `source` field but the specific category is not returned by the genus endpoint. This is a GlobalTreeSearch API limitation. - The full ~58k species database requires a long runtime. For large-scale use, run with generous `maxItems` and `timeoutSecs`. # Actor input Schema ## `sp_intended_usage` (type: `string`): Please describe how you plan to use the data extracted by this crawler. ## `sp_improvement_suggestions` (type: `string`): Provide any feedback or suggestions for improvements. ## `sp_contact` (type: `string`): Provide your email address so we can get in touch with you. ## `maxItems` (type: `integer`): Maximum number of records to scrape ## `genera` (type: `array`): Optional list of genus names to scrape (e.g. \["Quercus", "Abies"]). Leave empty to scrape all genera. ## Actor input object example ```json { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "maxItems": 10, "genera": [ "Quercus", "Abies" ] } ``` # Actor output Schema ## `results` (type: `string`): No description # 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 = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "maxItems": 10, "genera": [ "Quercus", "Abies" ] }; // Run the Actor and wait for it to finish const run = await client.actor("jungle_synthesizer/bgci-globaltreesearch-threatened-tree-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 = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "maxItems": 10, "genera": [ "Quercus", "Abies", ], } # Run the Actor and wait for it to finish run = client.actor("jungle_synthesizer/bgci-globaltreesearch-threatened-tree-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 '{ "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "maxItems": 10, "genera": [ "Quercus", "Abies" ] }' | apify call jungle_synthesizer/bgci-globaltreesearch-threatened-tree-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jungle_synthesizer/bgci-globaltreesearch-threatened-tree-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "BGCI GlobalTreeSearch Tree Species Scraper", "description": "Scrapes the BGCI GlobalTreeSearch database — the authoritative list of all ~58,000 tree species worldwide, with conservation status, native-country distribution, and taxonomic data from the Botanic Gardens Conservation International.", "version": "0.1", "x-build-id": "zz3TmHldUoQjcTjqx" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jungle_synthesizer~bgci-globaltreesearch-threatened-tree-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jungle_synthesizer-bgci-globaltreesearch-threatened-tree-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/jungle_synthesizer~bgci-globaltreesearch-threatened-tree-scraper/runs": { "post": { "operationId": "runs-sync-jungle_synthesizer-bgci-globaltreesearch-threatened-tree-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/jungle_synthesizer~bgci-globaltreesearch-threatened-tree-scraper/run-sync": { "post": { "operationId": "run-sync-jungle_synthesizer-bgci-globaltreesearch-threatened-tree-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", "properties": { "sp_intended_usage": { "title": "What is the intended usage of this data?", "minLength": 1, "type": "string", "description": "Please describe how you plan to use the data extracted by this crawler." }, "sp_improvement_suggestions": { "title": "How can we improve this crawler for you?", "minLength": 1, "type": "string", "description": "Provide any feedback or suggestions for improvements." }, "sp_contact": { "title": "Contact Email", "minLength": 1, "type": "string", "description": "Provide your email address so we can get in touch with you." }, "maxItems": { "title": "Max Items", "type": "integer", "description": "Maximum number of records to scrape", "default": 10 }, "genera": { "title": "Genera to scrape", "type": "array", "description": "Optional list of genus names to scrape (e.g. [\"Quercus\", \"Abies\"]). Leave empty to scrape all genera.", "items": { "type": "string" } } } }, "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 } } } } } } } } } } ```