# ERCOT Large Load Monitor (`mikechiou/ercot-large-load-monitor`) Actor Monitor official ERCOT large-load integration reports, Batch Zero updates, and data-center load modeling documents. - **URL**: https://apify.com/mikechiou/ercot-large-load-monitor.md - **Developed by:** [Mike Chiou](https://apify.com/mikechiou) (community) - **Categories:** Agents, Automation, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $40.00 / 1,000 ercot large-load monthly updates 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 ## ERCOT Large Load Monitor Monitor official ERCOT large-load integration reports, monthly updates, Batch Zero milestones, and data-center load modeling documents. ### What It Does - Scans public ERCOT source pages for PDFs and other published documents. - Parses ERCOT Monthly and large-load update PDFs for deterministic metrics. - Emits agent-ready JSON records with source URLs, parsed metrics, milestones, status deltas, and dedupe keys. - Uses named key-value-store state to avoid recharging for the same event in monitor mode. ### Default Sources - ERCOT Presentations and Helpful Resources: `https://www.ercot.com/news/presentations` - ERCOT Large Load Integration: `https://www.ercot.com/services/rq/large-load-integration` - ERCOT Large Load Working Group: `https://www.ercot.com/committees/tac/llwg` - ERCOT Large Load Modeling: `https://www.ercot.com/about/grit/large-load-modeling` ### Parsed Metrics The actor extracts numeric fields when they appear in official ERCOT PDFs: - `total_queue_mw` - `no_studies_mw` - `under_ercot_review_mw` - `section_9_5_requirements_met_mw` - `observed_energized_mw` - `approved_to_energize_mw` - `approved_not_operational_mw` - `observed_non_simultaneous_peak_mw` - `observed_simultaneous_peak_mw` - `new_lli_submissions` - `new_lli_mw` - `data_center_share_percent` Missing fields are returned as `null`, not `0`. ### Inputs - `includeMonthlyReports`: parse ERCOT Monthly PDFs. - `includeLargeLoadDocuments`: include Large Load Integration and Large Load Working Group documents. - `includeModelingDocuments`: include Large Load Modeling documents. - `includeHearingDecks`: include large-load hearing and TAC decks from the presentations page. - `emitDocumentUpdates`: emit lower-priced metadata events for newly discovered documents. - `emitStatusDeltas`: compare the latest two parsed metric documents and emit changed fields. - `maxDocuments`: cap normalized documents per run. Default `20`. - `maxPdfDownloads`: cap PDF downloads and parsing per run. Default `6`. - `maxEvents`: cap emitted events per run. Default `10`. - `stateStoreName`: named state store for dedupe. Use `__RUN_DEFAULT__` for isolated demos. - `sourcePages`: optional override list of ERCOT public pages. - `extraDocumentUrls`: optional direct ERCOT document URLs. ### Output Example ```json { "event_type": "ercot_large_load_monthly_update", "market": "ERCOT", "region": "Texas", "source_system": "ERCOT", "document_title": "ERCOT Monthly April 2026", "document_kind": "monthly_report", "document_date": "2026-05-13", "document_url": "https://www.ercot.com/files/docs/2026/05/13/ERCOT-Monthly-April-2026-FINAL.pdf", "metrics": { "total_queue_mw": 445800, "no_studies_mw": 321000, "under_ercot_review_mw": 93700, "section_9_5_requirements_met_mw": 22000, "observed_energized_mw": 5900, "approved_to_energize_mw": null, "approved_not_operational_mw": 3200 }, "changed_fields": [], "summary": "total queue: 445,800 MW; no studies: 321,000 MW; under ERCOT review: 93,700 MW", "dedupe_key": "ercot:monthly:https://www.ercot.com/files/docs/2026/05/13/ERCOT-Monthly-April-2026-FINAL.pdf" } ```` ### Pay-Per-Event Pricing - `ercot_large_load_monthly_update`: `$0.04`, primary event. - `ercot_large_load_status_delta`: `$0.05`, primary event. - `ercot_large_load_document_update`: `$0.02`, secondary event. ### Maintenance Run locally: ```bash npm run build npm test npm run lint npm run canary ``` The live canary checks that ERCOT's presentations page still exposes monthly reports and that the April 2026 monthly PDF still parses to exact known large-load metrics. ### Scope Notes - v0.1 uses public ERCOT pages and public ERCOT documents only. - v0.1 parses PDFs. DOCX/XLSX links are surfaced as document updates but not parsed for metrics. - The actor is not affiliated with, endorsed by, or sponsored by ERCOT. - Parsed values are source-document facts for monitoring workflows, not regulatory, legal, engineering, or investment advice. # Actor input Schema ## `includeMonthlyReports` (type: `boolean`): Parse ERCOT Monthly PDFs for large-load queue metrics and Batch Zero milestones. ## `includeLargeLoadDocuments` (type: `boolean`): Include documents from ERCOT Large Load Integration and Large Load Working Group pages. ## `includeModelingDocuments` (type: `boolean`): Include documents from ERCOT's Large Load Modeling page. ## `includeHearingDecks` (type: `boolean`): Include official ERCOT large-load hearing and TAC update decks found on the presentations page. ## `emitDocumentUpdates` (type: `boolean`): Emit lower-priced document-update events for newly discovered ERCOT documents even when no metrics are parsed. ## `emitStatusDeltas` (type: `boolean`): Compare the latest two parsed metric documents and emit a status-delta event when numeric values changed. ## `maxDocuments` (type: `integer`): Maximum source documents to normalize in one run. ## `maxPdfDownloads` (type: `integer`): Maximum PDFs to download and parse in one run. Metadata-only document updates may still be emitted after this cap. ## `maxEvents` (type: `integer`): Safety cap for one run. ## `stateStoreName` (type: `string`): Named key-value store used for monitor-mode dedupe. Use **RUN\_DEFAULT** for isolated demo runs. ## `sourcePages` (type: `array`): Optional override list of ERCOT public pages to scan for documents. ## `extraDocumentUrls` (type: `array`): Optional direct ERCOT PDF, DOCX, or XLSX URLs to include in this run. ## Actor input object example ```json { "includeMonthlyReports": true, "includeLargeLoadDocuments": true, "includeModelingDocuments": true, "includeHearingDecks": true, "emitDocumentUpdates": true, "emitStatusDeltas": true, "maxDocuments": 20, "maxPdfDownloads": 6, "maxEvents": 10, "stateStoreName": "__RUN_DEFAULT__" } ``` # Actor output Schema ## `results` (type: `string`): No description ## `summary` (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 = { "maxDocuments": 20, "maxPdfDownloads": 6, "maxEvents": 10, "stateStoreName": "__RUN_DEFAULT__" }; // Run the Actor and wait for it to finish const run = await client.actor("mikechiou/ercot-large-load-monitor").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 = { "maxDocuments": 20, "maxPdfDownloads": 6, "maxEvents": 10, "stateStoreName": "__RUN_DEFAULT__", } # Run the Actor and wait for it to finish run = client.actor("mikechiou/ercot-large-load-monitor").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 '{ "maxDocuments": 20, "maxPdfDownloads": 6, "maxEvents": 10, "stateStoreName": "__RUN_DEFAULT__" }' | apify call mikechiou/ercot-large-load-monitor --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=mikechiou/ercot-large-load-monitor", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "ERCOT Large Load Monitor", "description": "Monitor official ERCOT large-load integration reports, Batch Zero updates, and data-center load modeling documents.", "version": "0.1", "x-build-id": "z3uH3dPBE4mSmuFF4" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/mikechiou~ercot-large-load-monitor/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-mikechiou-ercot-large-load-monitor", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/mikechiou~ercot-large-load-monitor/runs": { "post": { "operationId": "runs-sync-mikechiou-ercot-large-load-monitor", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/mikechiou~ercot-large-load-monitor/run-sync": { "post": { "operationId": "run-sync-mikechiou-ercot-large-load-monitor", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "includeMonthlyReports": { "title": "Include monthly reports", "type": "boolean", "description": "Parse ERCOT Monthly PDFs for large-load queue metrics and Batch Zero milestones.", "default": true }, "includeLargeLoadDocuments": { "title": "Include large-load pages", "type": "boolean", "description": "Include documents from ERCOT Large Load Integration and Large Load Working Group pages.", "default": true }, "includeModelingDocuments": { "title": "Include modeling documents", "type": "boolean", "description": "Include documents from ERCOT's Large Load Modeling page.", "default": true }, "includeHearingDecks": { "title": "Include hearing decks", "type": "boolean", "description": "Include official ERCOT large-load hearing and TAC update decks found on the presentations page.", "default": true }, "emitDocumentUpdates": { "title": "Emit document updates", "type": "boolean", "description": "Emit lower-priced document-update events for newly discovered ERCOT documents even when no metrics are parsed.", "default": true }, "emitStatusDeltas": { "title": "Emit status deltas", "type": "boolean", "description": "Compare the latest two parsed metric documents and emit a status-delta event when numeric values changed.", "default": true }, "maxDocuments": { "title": "Maximum documents", "minimum": 1, "maximum": 100, "type": "integer", "description": "Maximum source documents to normalize in one run.", "default": 20 }, "maxPdfDownloads": { "title": "Maximum PDF downloads", "minimum": 0, "maximum": 25, "type": "integer", "description": "Maximum PDFs to download and parse in one run. Metadata-only document updates may still be emitted after this cap.", "default": 6 }, "maxEvents": { "title": "Maximum emitted events", "minimum": 1, "maximum": 250, "type": "integer", "description": "Safety cap for one run.", "default": 10 }, "stateStoreName": { "title": "State store name", "type": "string", "description": "Named key-value store used for monitor-mode dedupe. Use __RUN_DEFAULT__ for isolated demo runs." }, "sourcePages": { "title": "Source pages", "maxItems": 12, "type": "array", "description": "Optional override list of ERCOT public pages to scan for documents.", "items": { "type": "string" } }, "extraDocumentUrls": { "title": "Extra document URLs", "maxItems": 20, "type": "array", "description": "Optional direct ERCOT PDF, DOCX, or XLSX URLs to include in this run.", "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 } } } } } } } } } } ```