# Help Center Gap Scanner (`techionik9993/help-center-gap-scanner`) Actor Scan help centers and support article pages for weak content, missing answers, topic gaps, and escalation signals. - **URL**: https://apify.com/techionik9993/help-center-gap-scanner.md - **Developed by:** [Techionik](https://apify.com/techionik9993) (community) - **Categories:** Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $5.00 / 1,000 dataset items This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. 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 ## Help Center Gap Scanner Audit help centers for content gaps and support-risk signals. ### What this Actor does Scan help centers and support article pages for weak content, missing answers, topic gaps, and escalation signals. It accepts public URLs, crawls a limited number of same-domain pages, extracts relevant page sections, highlights matched signals, and saves clean dataset records that can be used in spreadsheets, dashboards, CRM enrichment, product research, and monitoring workflows. ### Target users - Growth teams and agencies - Product researchers and operators - Sales intelligence teams - Market analysts - Ecommerce and SaaS teams ### Main use cases - Support content planning - SaaS onboarding research - Competitor help center analysis ### Input - `startUrls`: Public URLs to analyze. - `maxPagesPerStartUrl`: Maximum same-domain pages to crawl from each start URL. - `maxConcurrency`: Number of pages analyzed at the same time. - `proxyConfiguration`: Optional Apify proxy configuration. #### Example input ```json { "startUrls": [ { "url": "https://docs.apify.com/" }, { "url": "https://support.google.com/" } ], "maxPagesPerStartUrl": 5, "maxConcurrency": 3 } ```` ### Output Each dataset item includes: - Page status, URL, domain, title, and HTTP code - Short buyer-ready summary - Matched signals and signal count - Top findings as plain text - Money, date, and email signals when present - Clear error message for failed pages #### Example output ```json { "status": "ok", "inputUrl": "https://docs.apify.com/", "finalUrl": "https://docs.apify.com/", "domain": "docs.apify.com", "statusCode": 200, "pageTitle": "Example page title", "summary": "Found help-center gap, error, limitation, and support signals on example.com: support gap.", "matchedSignals": [ "example signal" ], "signalCount": 1, "topFindings": [ "Example finding containing a useful signal for the buyer." ], "moneySignals": [], "dateSignals": [], "emailSignals": [], "extractedAt": "2026-07-04T00:00:00.000Z", "errorMessage": null } ``` ### Marketplace value This Actor turns scattered public pages into structured intelligence. It is designed for repeat monitoring jobs and lightweight research runs, with low compute cost and clean results. ### Recommended pricing Paid per result at $1.50 per 1,000 analyzed support pages. Low-compute and useful for support, SEO, and product teams. ### Limitations - Works best on public HTML pages. - Login-only pages, CAPTCHA-heavy sites, and heavily blocked pages may fail or need proxy settings. - The Actor extracts signals from page content; it does not claim legal access to private or restricted data. - Dynamic JavaScript-only pages may return fewer results in this lightweight version. ### Search keywords help center audit, support content, knowledge base, support gaps, customer experience # Actor input Schema ## `startUrls` (type: `array`): Public pages to analyze with Help Center Gap Scanner. Add category pages, help pages, changelogs, listings, or article pages depending on your use case. ## `maxPagesPerStartUrl` (type: `integer`): How many same-domain pages to analyze from each start URL. ## `maxConcurrency` (type: `integer`): How many pages to analyze at the same time. ## `proxyConfiguration` (type: `object`): Optional proxy settings. Most public pages work without a proxy. ## Actor input object example ```json { "startUrls": [ { "url": "https://docs.apify.com/" }, { "url": "https://support.google.com/" } ], "maxPagesPerStartUrl": 10, "maxConcurrency": 5, "proxyConfiguration": { "useApifyProxy": false } } ``` # Actor output Schema ## `overview` (type: `string`): No description ## `summary` (type: `string`): No description ## `json` (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 = { "startUrls": [ { "url": "https://docs.apify.com/" }, { "url": "https://support.google.com/" } ] }; // Run the Actor and wait for it to finish const run = await client.actor("techionik9993/help-center-gap-scanner").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 = { "startUrls": [ { "url": "https://docs.apify.com/" }, { "url": "https://support.google.com/" }, ] } # Run the Actor and wait for it to finish run = client.actor("techionik9993/help-center-gap-scanner").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 '{ "startUrls": [ { "url": "https://docs.apify.com/" }, { "url": "https://support.google.com/" } ] }' | apify call techionik9993/help-center-gap-scanner --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=techionik9993/help-center-gap-scanner", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Help Center Gap Scanner", "description": "Scan help centers and support article pages for weak content, missing answers, topic gaps, and escalation signals.", "version": "1.0", "x-build-id": "f44q3eTXCYzmWlqIu" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/techionik9993~help-center-gap-scanner/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-techionik9993-help-center-gap-scanner", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/techionik9993~help-center-gap-scanner/runs": { "post": { "operationId": "runs-sync-techionik9993-help-center-gap-scanner", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/techionik9993~help-center-gap-scanner/run-sync": { "post": { "operationId": "run-sync-techionik9993-help-center-gap-scanner", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "startUrls" ], "properties": { "startUrls": { "title": "Start URLs", "type": "array", "description": "Public pages to analyze with Help Center Gap Scanner. Add category pages, help pages, changelogs, listings, or article pages depending on your use case.", "items": { "type": "object", "properties": { "url": { "type": "string", "title": "URL", "description": "Example: https://example.com/page" } }, "required": [ "url" ] } }, "maxPagesPerStartUrl": { "title": "Max pages per start URL", "minimum": 1, "maximum": 50, "type": "integer", "description": "How many same-domain pages to analyze from each start URL.", "default": 10 }, "maxConcurrency": { "title": "Max concurrency", "minimum": 1, "maximum": 25, "type": "integer", "description": "How many pages to analyze at the same time.", "default": 5 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Optional proxy settings. Most public pages work without a proxy.", "default": { "useApifyProxy": false } } } }, "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 } } } } } } } } } } ```