# INPE TerraBrasilis Amazon Fires & Deforestation Scraper (`jungle_synthesizer/inpe-terrabrasilis-amazon-fires-deforestation-scraper`) Actor Scrapes deforestation and fire data from INPE TerraBrasilis. Collects PRODES deforestation totals, DETER daily alerts, and fire records across Amazon, Cerrado, Pantanal, and other Brazilian biomes. Covers all states from 2015 to present. Essential for EUDR compliance and carbon offset research. - **URL**: https://apify.com/jungle\_synthesizer/inpe-terrabrasilis-amazon-fires-deforestation-scraper.md - **Developed by:** [BowTiedRaccoon](https://apify.com/jungle_synthesizer) (community) - **Categories:** Business, Other - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 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. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. 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 ## INPE TerraBrasilis Amazon Fires & Deforestation Scraper Scrapes deforestation and fire data from INPE TerraBrasilis — Brazil's space-agency monitoring platform. Collects PRODES deforestation totals, DETER daily alerts, and fire records across Amazon, Cerrado, Pantanal, and other Brazilian biomes. Covers all states from 2015 to present. Essential for EUDR compliance and carbon offset research. ### What it scrapes This actor calls the TerraBrasilis `file-delivery` REST API (reverse-engineered from the INPE D3.js/crossfilter dashboards) to collect six datasets in a single run: | Dataset key | Description | Coverage | |-------------|-------------|----------| | `prodes` | PRODES monthly deforestation by state/biome — consolidated and recent clear-cuts, native vegetation | ~10,600 records | | `car` | CAR (Rural Property Registry) fire counts by property size category | ~14,200 records | | `deter_amz_monthly` | DETER Amazon monthly deforestation alerts — selective logging, mining, burn scars | ~4,300 records | | `deter_amz_cloud` | DETER Amazon monthly cloud cover by state (affects alert detectability) | ~1,300 records | | `deter_cerrado_monthly` | DETER Cerrado monthly deforestation alerts | ~990 records | | `deter_cerrado_cloud` | DETER Cerrado monthly cloud cover by state | ~925 records | ### Output schema Each record has: ```json { "dataset": "prodes", "feature_id": "fof_prodes_d.fid-...", "biome": "Amazonia", "year": 2024, "month": 8, "classification": "Desmatamento Consolidado", "state": "PARA", "value": 1234, "polygon_count": null, "cloud_area": null, "updated_date": "2026-06-05", "source_url": "https://terrabrasilis.dpi.inpe.br/file-delivery/download/dashboard-fires/fof_prodes", "scrapedAt": "2026-06-06T15:30:00.000Z" } ```` **Field notes:** - `value` — fire count for PRODES/CAR; deforested area in km2 for DETER monthly - `polygon_count` — number of alert polygons (DETER monthly datasets only) - `cloud_area` — cloud cover area (DETER cloud datasets only) - `classification` — deforestation type (PRODES: Desmatamento Consolidado/Desmatamento Recente/Vegetacao Nativa; DETER: CORTE\_SELETIVO/DESMATAMENTO\_CR/MINERACAO; CAR: Grande/Media/Pequena/Sem car) - `biome` — biome name for PRODES/CAR (Amazonia/Cerrado/Pampa/Pantanal/Caatinga/Mata Atlantica); null for DETER - `state` — state name for PRODES/CAR; UF code (e.g. PA, MT, AM) for DETER ### Input | Field | Type | Default | Description | |-------|------|---------|-------------| | `datasets` | string\[] | all 6 | Which datasets to include. Omit for all six. | | `maxItems` | integer | 0 (no limit) | Max records across all datasets. | #### Example: PRODES + DETER Amazon only ```json { "datasets": ["prodes", "deter_amz_monthly"], "maxItems": 5000 } ``` ### Data source - **PRODES**: INPE's Program for Deforestation Monitoring in the Brazilian Amazon — the legal source-of-record for EU Deforestation Regulation (EUDR) traceability. - **DETER**: Real-time detection system for deforestation alerts (Amazon and Cerrado). Updated daily. - **CAR**: Cadastro Ambiental Rural — Brazil's rural property environmental registry. All data is public and served without authentication from `terrabrasilis.dpi.inpe.br`. ### Use cases - **EUDR compliance**: Commodity importers (soy, beef, palm oil) need PRODES/DETER feeds to verify non-deforestation traceability under EU Deforestation Regulation. - **Carbon offset verification**: Carbon project verifiers use PRODES/DETER to validate avoided deforestation baselines. - **Environmental research**: Amazon monitoring NGOs, press coverage, ML training datasets for deforestation models. - **Agribusiness compliance**: Supply chain traceability for beef and soy certification programs. # 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 return across all datasets (0 = no limit) ## `datasets` (type: `array`): Which INPE datasets to include. Leave empty to scrape all available datasets. ## 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": 100, "datasets": [ "prodes", "car", "deter_amz_monthly", "deter_amz_cloud", "deter_cerrado_monthly", "deter_cerrado_cloud" ] } ``` # 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": 100, "datasets": [ "prodes", "car", "deter_amz_monthly", "deter_amz_cloud", "deter_cerrado_monthly", "deter_cerrado_cloud" ] }; // Run the Actor and wait for it to finish const run = await client.actor("jungle_synthesizer/inpe-terrabrasilis-amazon-fires-deforestation-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": 100, "datasets": [ "prodes", "car", "deter_amz_monthly", "deter_amz_cloud", "deter_cerrado_monthly", "deter_cerrado_cloud", ], } # Run the Actor and wait for it to finish run = client.actor("jungle_synthesizer/inpe-terrabrasilis-amazon-fires-deforestation-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": 100, "datasets": [ "prodes", "car", "deter_amz_monthly", "deter_amz_cloud", "deter_cerrado_monthly", "deter_cerrado_cloud" ] }' | apify call jungle_synthesizer/inpe-terrabrasilis-amazon-fires-deforestation-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jungle_synthesizer/inpe-terrabrasilis-amazon-fires-deforestation-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "INPE TerraBrasilis Amazon Fires & Deforestation Scraper", "description": "Scrapes deforestation and fire data from INPE TerraBrasilis. Collects PRODES deforestation totals, DETER daily alerts, and fire records across Amazon, Cerrado, Pantanal, and other Brazilian biomes. Covers all states from 2015 to present. Essential for EUDR compliance and carbon offset research.", "version": "0.1", "x-build-id": "NUEJhJEZWkKJRqBmd" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jungle_synthesizer~inpe-terrabrasilis-amazon-fires-deforestation-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jungle_synthesizer-inpe-terrabrasilis-amazon-fires-deforestation-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~inpe-terrabrasilis-amazon-fires-deforestation-scraper/runs": { "post": { "operationId": "runs-sync-jungle_synthesizer-inpe-terrabrasilis-amazon-fires-deforestation-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~inpe-terrabrasilis-amazon-fires-deforestation-scraper/run-sync": { "post": { "operationId": "run-sync-jungle_synthesizer-inpe-terrabrasilis-amazon-fires-deforestation-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 return across all datasets (0 = no limit)", "default": 0 }, "datasets": { "title": "Datasets to scrape", "type": "array", "description": "Which INPE datasets to include. Leave empty to scrape all available datasets.", "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 } } } } } } } } } } ```