# Climate TRACE Facility GHG Emissions Scraper (`jungle_synthesizer/climate-trace-facility-emissions-scraper`) Actor Pull per-facility CO2, CH4, N2O emissions from Climate TRACE β€” satellite-derived global emissions inventory. Covers power plants, oil & gas, steel, cement, aviation, shipping, agriculture, mining, manufacturing. Filter by sector, country, and gas. No auth. - **URL**: https://apify.com/jungle\_synthesizer/climate-trace-facility-emissions-scraper.md - **Developed by:** [BowTiedRaccoon](https://apify.com/jungle_synthesizer) (community) - **Categories:** Business, Developer tools, Other - **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 ## Climate TRACE Facility GHG Emissions Scraper ### Overview The **Climate TRACE Facility GHG Emissions Scraper** is an Apify actor designed to extract per-facility greenhouse gas (GHG) emissions data from the Climate TRACE database. Utilizing satellite-derived information, this actor provides valuable insights into emissions across various industries, including power plants, oil & gas, steel, cement, aviation, shipping, agriculture, mining, and manufacturing. The tool enables users to filter results by sector, country, and gas type, giving researchers, companies, and policymakers access to essential emissions data without requiring authentication. ### Use Cases - **Sustainability Reporting:** Companies can utilize this actor to enhance their sustainability reports with reliable emissions data. - **Climate Research:** Researchers can analyze emissions data across different sectors and countries for climate impact studies. - **Policy Making:** Regulators can track emissions trends to support policy decisions and meet climate goals effectively. - **Carbon Accounting:** Scope-3 carbon accounting SaaS platforms can integrate this data to improve client services. - **Journalism:** Climate journalists can access accurate data for investigative stories on pollution and its impact on climate change. ### Input The actor accepts the following input fields: - **sectors**: `array` of sector slugs (default: `["electricity-generation", "oil-and-gas-production"]`) - **countries**: `array` of ISO-3 country codes (default: `["all"]`) - **gases**: `array` of gas types, including `["co2e_100yr", "co2e_20yr", "co2", "ch4", "n2o"]` (default: `["co2e_100yr"]`) - **includeOwners**: `boolean` to include owner/operator company data (default: `true`) - **includeConfidence**: `boolean` to include Climate TRACE confidence scores (default: `true`) - **maxItems**: `integer` for the maximum records to return ### Output Each record retrieved will contain the following fields: - `asset_id` - `native_id` - `asset_name` - `country_iso3` - `sector` - `subsector` - `reporting_entity` - `lat` - `lon` - `gas` - `emissions_quantity_t` - `activity` - `activity_units` - `capacity` - `capacity_units` - `capacity_factor` - `emissions_factor` - `emissions_factor_units` - `owners` (JSON string) - `confidence` (JSON string) - `asset_url` ### Example To retrieve emissions data for power generation facilities in the USA focusing on CO2 emissions, you can set your input as follows: ```json { "sectors": ["electricity-generation"], "countries": ["USA"], "gases": ["co2"], "includeOwners": true, "includeConfidence": true, "maxItems": 100 } ```` When executed, the actor will return a maximum of 100 records for electricity generation facilities in the USA, including the required emissions data and associated company details. ### Notes - **No Authentication Required:** This actor uses data from Climate TRACE’s free API under the CC-BY 4.0 license, making it widely accessible for public use. - **First of Its Kind:** This is the first Apify actor providing access to Climate TRACE data, ensuring unique and unmatched offerings for users. - **Global Coverage:** With approximately 660 million assets across 11 sectors, this actor can be beneficial for comprehensive, global emissions analysis. For any questions or feedback, please reach out to the developer community or check for updates on our GitHub repository! # 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. ## `sectors` (type: `array`): Climate TRACE sector slugs to scrape. Leave empty for all sectors. Valid values: electricity-generation, oil-and-gas-production, oil-and-gas-transport, steel, cement, aluminum, coal-mining, solid-waste-disposal, wastewater-treatment, road-transportation, aviation, shipping, agriculture, forestry, manufacturing. ## `countries` (type: `array`): ISO-3 country codes to filter by (e.g. USA, IND, CHN, DEU, GBR). Leave empty for all countries. ## `gases` (type: `array`): Gas types to retrieve. co2e\_100yr is the GWP-100 CO2-equivalent aggregate (recommended for most use cases). Valid values: co2e\_100yr, co2e\_20yr, co2, ch4, n2o. ## `includeOwners` (type: `boolean`): When enabled, the owners array (company ID, name, share) is included in each record. ## `includeConfidence` (type: `boolean`): When enabled, Climate TRACE per-field confidence labels are included in each record as a year-keyed object. ## `maxItems` (type: `integer`): Maximum number of facility records to return. Set to 0 for unlimited. ## 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...", "sectors": [ "electricity-generation", "oil-and-gas-production" ], "countries": [], "gases": [ "co2e_100yr" ], "includeOwners": true, "includeConfidence": true, "maxItems": 10 } ``` # 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...", "sectors": [ "electricity-generation", "oil-and-gas-production" ], "countries": [], "gases": [ "co2e_100yr" ], "includeOwners": true, "includeConfidence": true, "maxItems": 10 }; // Run the Actor and wait for it to finish const run = await client.actor("jungle_synthesizer/climate-trace-facility-emissions-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`πŸ’Ύ 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); }); // πŸ“š Want to learn more πŸ“–? Go to β†’ 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...", "sectors": [ "electricity-generation", "oil-and-gas-production", ], "countries": [], "gases": ["co2e_100yr"], "includeOwners": True, "includeConfidence": True, "maxItems": 10, } # Run the Actor and wait for it to finish run = client.actor("jungle_synthesizer/climate-trace-facility-emissions-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # πŸ“š Want to learn more πŸ“–? Go to β†’ 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...", "sectors": [ "electricity-generation", "oil-and-gas-production" ], "countries": [], "gases": [ "co2e_100yr" ], "includeOwners": true, "includeConfidence": true, "maxItems": 10 }' | apify call jungle_synthesizer/climate-trace-facility-emissions-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jungle_synthesizer/climate-trace-facility-emissions-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Climate TRACE Facility GHG Emissions Scraper", "description": "Pull per-facility CO2, CH4, N2O emissions from Climate TRACE β€” satellite-derived global emissions inventory. Covers power plants, oil & gas, steel, cement, aviation, shipping, agriculture, mining, manufacturing. Filter by sector, country, and gas. No auth.", "version": "0.1", "x-build-id": "wkkbhdOEvRT2cgV5U" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jungle_synthesizer~climate-trace-facility-emissions-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jungle_synthesizer-climate-trace-facility-emissions-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~climate-trace-facility-emissions-scraper/runs": { "post": { "operationId": "runs-sync-jungle_synthesizer-climate-trace-facility-emissions-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~climate-trace-facility-emissions-scraper/run-sync": { "post": { "operationId": "run-sync-jungle_synthesizer-climate-trace-facility-emissions-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": [ "sp_intended_usage", "sp_improvement_suggestions" ], "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." }, "sectors": { "title": "Sectors", "type": "array", "description": "Climate TRACE sector slugs to scrape. Leave empty for all sectors. Valid values: electricity-generation, oil-and-gas-production, oil-and-gas-transport, steel, cement, aluminum, coal-mining, solid-waste-disposal, wastewater-treatment, road-transportation, aviation, shipping, agriculture, forestry, manufacturing.", "items": { "type": "string" } }, "countries": { "title": "Countries (ISO3)", "type": "array", "description": "ISO-3 country codes to filter by (e.g. USA, IND, CHN, DEU, GBR). Leave empty for all countries.", "items": { "type": "string" } }, "gases": { "title": "Gases", "type": "array", "description": "Gas types to retrieve. co2e_100yr is the GWP-100 CO2-equivalent aggregate (recommended for most use cases). Valid values: co2e_100yr, co2e_20yr, co2, ch4, n2o.", "items": { "type": "string" } }, "includeOwners": { "title": "Include Owner/Operator Data", "type": "boolean", "description": "When enabled, the owners array (company ID, name, share) is included in each record." }, "includeConfidence": { "title": "Include Confidence Scores", "type": "boolean", "description": "When enabled, Climate TRACE per-field confidence labels are included in each record as a year-keyed object." }, "maxItems": { "title": "Max Items", "type": "integer", "description": "Maximum number of facility records to return. Set to 0 for unlimited.", "default": 10 } } }, "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 } } } } } } } } } } ```