# Thai SME Website Gap Finder (`beige_unison/thai-sme-gap-finder`) Actor Finds sales opportunities in Thai SME websites by auditing SEO, LINE/social/contact readiness, analytics pixels, structured data, and conversion gaps. - **URL**: https://apify.com/beige\_unison/thai-sme-gap-finder.md - **Developed by:** [wiseld\_squid](https://apify.com/beige_unison) (community) - **Categories:** Lead generation, SEO tools, Developer tools - **Stats:** 2 total users, 0 monthly users, 100.0% runs succeeded, 2 bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## 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 ## Thai SME Website Gap Finder Find sales opportunities in Thai SME websites by auditing the gaps that usually matter before an outreach campaign: SEO basics, LINE/social/contact readiness, analytics pixels, structured data, Google Maps links, and conversion signals. This Actor uses `CheerioCrawler`, so it is cheap to run and does not start a browser. It is designed for public business websites where HTML is available without heavy JavaScript rendering. ### What it extracts - Business name and website metadata - Thai phone numbers, emails, LINE, Facebook, Instagram, TikTok, YouTube, and Google Maps links - Thai province and industry signals - JSON-LD structured data types - Website technology signals such as WordPress, Shopify, Wix, Next.js, Google Analytics, GTM, Meta Pixel, TikTok Pixel, Hotjar, and Cloudflare - Gap tags such as missing meta description, no LINE OA, no analytics, no Meta Pixel, no JSON-LD, no contact page, weak title, missing H1, and many images missing alt text - Lead score from 0 to 100 - Service opportunities and a ready-to-use outreach pitch ### Example input ```json { "startUrls": [{ "url": "https://example.co.th" }], "maxPagesPerDomain": 3, "crawlInternalLinks": true, "onlySaveQualifiedLeads": false, "minimumLeadScore": 55, "targetProvince": "Bangkok", "industryHints": ["restaurant", "clinic", "hotel"], "proxyConfiguration": { "useApifyProxy": false } } ```` ### Output Each dataset item represents one audited page with contact channels, detected business signals, gaps, score, and recommended pitch. Sort by `leadScore` to prioritize the easiest outreach targets. # Actor input Schema ## `startUrls` (type: `array`): Thai business websites or pages to audit. ## `maxPagesPerDomain` (type: `integer`): Maximum same-domain pages to audit from each website. ## `crawlInternalLinks` (type: `boolean`): Follow same-domain links, prioritizing contact/about/service pages. ## `onlySaveQualifiedLeads` (type: `boolean`): When enabled, saves only pages with leadScore at or above minimumLeadScore. ## `minimumLeadScore` (type: `integer`): Minimum leadScore used when onlySaveQualifiedLeads is enabled. ## `targetProvince` (type: `string`): Optional Thai province filter or hint, e.g. Bangkok, Chiang Mai, Phuket. ## `industryHints` (type: `array`): Optional industries to prioritize in scoring, e.g. restaurant, clinic, hotel. ## `respectRobotsTxt` (type: `boolean`): Whether Crawlee should respect robots.txt rules. ## `proxyConfiguration` (type: `object`): Optional proxy configuration. Most normal SME websites do not require a proxy. ## Actor input object example ```json { "startUrls": [ { "url": "https://apify.com" } ], "maxPagesPerDomain": 3, "crawlInternalLinks": true, "onlySaveQualifiedLeads": false, "minimumLeadScore": 55, "industryHints": [ "restaurant", "clinic", "hotel" ], "respectRobotsTxt": true, "proxyConfiguration": { "useApifyProxy": false } } ``` # 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 = { "startUrls": [ { "url": "https://apify.com" } ], "industryHints": [ "restaurant", "clinic", "hotel" ] }; // Run the Actor and wait for it to finish const run = await client.actor("beige_unison/thai-sme-gap-finder").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://apify.com" }], "industryHints": [ "restaurant", "clinic", "hotel", ], } # Run the Actor and wait for it to finish run = client.actor("beige_unison/thai-sme-gap-finder").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://apify.com" } ], "industryHints": [ "restaurant", "clinic", "hotel" ] }' | apify call beige_unison/thai-sme-gap-finder --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=beige_unison/thai-sme-gap-finder", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Thai SME Website Gap Finder", "description": "Finds sales opportunities in Thai SME websites by auditing SEO, LINE/social/contact readiness, analytics pixels, structured data, and conversion gaps.", "version": "0.1", "x-build-id": "C0ivvXxw37C1yyabq" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/beige_unison~thai-sme-gap-finder/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-beige_unison-thai-sme-gap-finder", "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/beige_unison~thai-sme-gap-finder/runs": { "post": { "operationId": "runs-sync-beige_unison-thai-sme-gap-finder", "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/beige_unison~thai-sme-gap-finder/run-sync": { "post": { "operationId": "run-sync-beige_unison-thai-sme-gap-finder", "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": "Thai business websites or pages to audit.", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "maxPagesPerDomain": { "title": "Max pages per domain", "minimum": 1, "maximum": 50, "type": "integer", "description": "Maximum same-domain pages to audit from each website.", "default": 3 }, "crawlInternalLinks": { "title": "Crawl internal links", "type": "boolean", "description": "Follow same-domain links, prioritizing contact/about/service pages.", "default": true }, "onlySaveQualifiedLeads": { "title": "Only save qualified leads", "type": "boolean", "description": "When enabled, saves only pages with leadScore at or above minimumLeadScore.", "default": false }, "minimumLeadScore": { "title": "Minimum lead score", "minimum": 0, "maximum": 100, "type": "integer", "description": "Minimum leadScore used when onlySaveQualifiedLeads is enabled.", "default": 55 }, "targetProvince": { "title": "Target province", "type": "string", "description": "Optional Thai province filter or hint, e.g. Bangkok, Chiang Mai, Phuket." }, "industryHints": { "title": "Industry hints", "type": "array", "description": "Optional industries to prioritize in scoring, e.g. restaurant, clinic, hotel.", "items": { "type": "string" } }, "respectRobotsTxt": { "title": "Respect robots.txt", "type": "boolean", "description": "Whether Crawlee should respect robots.txt rules.", "default": true }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Optional proxy configuration. Most normal SME websites do not require 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 } } } } } } } } } } ```