# FCC Consumer Complaint Volume & Issue Trend Monitor (`aether_studio/fcc-complaint-trend-monitor`) Actor Compares recent FCC consumer-complaint volumes with the preceding period by service form and issue, using aggregate counts only and excluding complaint-level personal data. - **URL**: https://apify.com/aether\_studio/fcc-complaint-trend-monitor.md - **Developed by:** [AetherPromptStudio](https://apify.com/aether_studio) (community) - **Categories:** Automation, Other - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $1.00 / 1,000 results 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 web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows. 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 ## FCC Consumer Complaint Volume & Issue Trend Monitor Track changes in U.S. Federal Communications Commission consumer-complaint volumes without exposing complaint-level personal data. The Actor compares the newest complete seven-day window with the preceding seven days by FCC service form and issue. ### Privacy-safe by design The Actor asks the official FCC Socrata API for grouped daily counts only. It never requests or returns raw complaint rows, telephone numbers, ZIP codes, complaint identifiers, locations, narratives, or company responses. A minimum count is required independently in both comparison windows. ### Common uses - Telecom compliance and customer-operations dashboards - Consumer-advocacy and public-policy monitoring - Issue-volume alerts for phone, internet, television, radio, and accessibility complaints - Reproducible media and research analysis ### Output Each record contains the service form, issue, both seven-day windows, aggregate counts, absolute and percentage changes, a stable series key, the enforced minimum-cell threshold, official source links, retrieval time, and limitations. ### Source and limitations Data comes from the official FCC **CGB Consumer Complaints Data** dataset. Complaint counts reflect consumer allegations and reporting behavior; the FCC does not verify every allegation. Counts may be revised and do not establish carrier fault, service quality, prevalence, or causation. This independent product is not affiliated with or endorsed by the FCC. # Actor input Schema ## `issueContains` (type: `string`): Case-insensitive filter across the FCC service form and issue. Leave empty for all. ## `minCellCount` (type: `integer`): Privacy and stability threshold applied separately to both seven-day windows. ## `minAbsoluteDelta` (type: `integer`): Exclude issue series whose complaint-count change is smaller than this value. ## `maxResults` (type: `integer`): Maximum number of aggregate issue trends written to the dataset. ## Actor input object example ```json { "issueContains": "", "minCellCount": 5, "minAbsoluteDelta": 5, "maxResults": 50 } ```` # 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 = { "issueContains": "", "minCellCount": 5, "minAbsoluteDelta": 5, "maxResults": 50 }; // Run the Actor and wait for it to finish const run = await client.actor("aether_studio/fcc-complaint-trend-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 = { "issueContains": "", "minCellCount": 5, "minAbsoluteDelta": 5, "maxResults": 50, } # Run the Actor and wait for it to finish run = client.actor("aether_studio/fcc-complaint-trend-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 '{ "issueContains": "", "minCellCount": 5, "minAbsoluteDelta": 5, "maxResults": 50 }' | apify call aether_studio/fcc-complaint-trend-monitor --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=aether_studio/fcc-complaint-trend-monitor", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "FCC Consumer Complaint Volume & Issue Trend Monitor", "description": "Compares recent FCC consumer-complaint volumes with the preceding period by service form and issue, using aggregate counts only and excluding complaint-level personal data.", "version": "0.1", "x-build-id": "pqfu79kfasq6cseY5" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/aether_studio~fcc-complaint-trend-monitor/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-aether_studio-fcc-complaint-trend-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/aether_studio~fcc-complaint-trend-monitor/runs": { "post": { "operationId": "runs-sync-aether_studio-fcc-complaint-trend-monitor", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/aether_studio~fcc-complaint-trend-monitor/run-sync": { "post": { "operationId": "run-sync-aether_studio-fcc-complaint-trend-monitor", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "issueContains": { "title": "Service or Issue Contains", "type": "string", "description": "Case-insensitive filter across the FCC service form and issue. Leave empty for all.", "default": "" }, "minCellCount": { "title": "Minimum Count Per Window", "minimum": 5, "maximum": 1000, "type": "integer", "description": "Privacy and stability threshold applied separately to both seven-day windows.", "default": 5 }, "minAbsoluteDelta": { "title": "Minimum Absolute Change", "minimum": 0, "maximum": 1000000, "type": "integer", "description": "Exclude issue series whose complaint-count change is smaller than this value.", "default": 1 }, "maxResults": { "title": "Maximum Results", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Maximum number of aggregate issue trends written to the dataset.", "default": 200 } } }, "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 } } } } } } } } } } ```