# Pantip Consumer | Thai Brand & Topic Monitor (`mai_amm/pantip-consumer-intelligence`) Actor Collect public Pantip topics from searches, tags, rooms, or direct URLs. Built for Thai consumer research - **URL**: https://apify.com/mai\_amm/pantip-consumer-intelligence.md - **Developed by:** [wiseld\_squid](https://apify.com/mai_amm) (community) - **Categories:** E-commerce, News, Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $4.00 / 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 ## Pantip Consumer Intelligence Collect public Pantip topics for Thai consumer research, brand research, trend discovery, and content analysis. ### Quick start 1. Add one or more `keywords`. 2. Set `maxTopics`. 3. Run the Actor and open the dataset. You can also collect topics from Pantip tags, rooms, or specific URLs. ### Inputs - `keywords` — words or phrases to search for. - `maxTopics` — maximum topics saved for the whole run. - `tags` — optional Pantip tags such as `รถยนต์` or `บัตรเครดิต`. - `rooms` — optional room names such as `ratchada`, `sinthorn`, or `blueplanet`. - `startUrls` — optional Pantip search, tag, room, or topic URLs. - `brands` — brand names to detect in topic text. - `includeTextAnalysis` — adds intent and sentiment labels. - `redactPersonalData` — removes phone numbers and email addresses from collected text. At least one keyword, tag, room, or URL is required. ### Example ```json { "keywords": ["ประกันรถยนต์", "รถยนต์ไฟฟ้า"], "brands": ["Toyota", "Honda", "BYD"], "maxTopics": 50, "includeTextAnalysis": true, "redactPersonalData": true } ```` ### Output Each dataset item represents one Pantip topic and can include: - Topic ID and canonical URL - Title, summary, and body - Tags and room - Publish time - View, comment, and like counts when available - Matched brands - Intent and sentiment labels - Collection timestamp A run summary is also available in the default key-value store. ### Responsible use Collect only public content required for a legitimate purpose. Respect Pantip's terms and applicable privacy laws. Do not use the Actor to identify, contact, harass, or profile individual members. # Actor input Schema ## `keywords` (type: `array`): Words or phrases to search on Pantip, for example ประกันรถยนต์ or ร้านอาหาร. ## `maxTopics` (type: `integer`): Maximum number of topic records saved for the entire run. ## `tags` (type: `array`): Optional tags such as รถยนต์, บัตรเครดิต, or ประกันภัยรถ. ## `rooms` (type: `array`): Optional room names such as ratchada, sinthorn, siliconvalley, or blueplanet. ## `startUrls` (type: `array`): Optional search, tag, room, or topic URLs. ## `brands` (type: `array`): Optional brand names to match in each topic. ## `includeTextAnalysis` (type: `boolean`): Adds lightweight intent and sentiment labels to each topic. ## `redactPersonalData` (type: `boolean`): Removes phone numbers and email addresses found in public topic text. ## Actor input object example ```json { "keywords": [ "ประกันรถยนต์" ], "maxTopics": 25, "includeTextAnalysis": true, "redactPersonalData": true } ``` # Actor output Schema ## `summary` (type: `string`): No description ## `dataset` (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 = { "keywords": [ "ประกันรถยนต์" ] }; // Run the Actor and wait for it to finish const run = await client.actor("mai_amm/pantip-consumer-intelligence").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 = { "keywords": ["ประกันรถยนต์"] } # Run the Actor and wait for it to finish run = client.actor("mai_amm/pantip-consumer-intelligence").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 '{ "keywords": [ "ประกันรถยนต์" ] }' | apify call mai_amm/pantip-consumer-intelligence --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=mai_amm/pantip-consumer-intelligence", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Pantip Consumer | Thai Brand & Topic Monitor", "description": "Collect public Pantip topics from searches, tags, rooms, or direct URLs. Built for Thai consumer research", "version": "0.1", "x-build-id": "hyGsSJGf1FYCcVQsb" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/mai_amm~pantip-consumer-intelligence/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-mai_amm-pantip-consumer-intelligence", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/mai_amm~pantip-consumer-intelligence/runs": { "post": { "operationId": "runs-sync-mai_amm-pantip-consumer-intelligence", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/mai_amm~pantip-consumer-intelligence/run-sync": { "post": { "operationId": "run-sync-mai_amm-pantip-consumer-intelligence", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "keywords": { "title": "Search keywords", "type": "array", "description": "Words or phrases to search on Pantip, for example ประกันรถยนต์ or ร้านอาหาร.", "items": { "type": "string" } }, "maxTopics": { "title": "Maximum topics", "minimum": 1, "maximum": 5000, "type": "integer", "description": "Maximum number of topic records saved for the entire run.", "default": 25 }, "tags": { "title": "Pantip tags", "type": "array", "description": "Optional tags such as รถยนต์, บัตรเครดิต, or ประกันภัยรถ.", "items": { "type": "string" } }, "rooms": { "title": "Pantip rooms", "type": "array", "description": "Optional room names such as ratchada, sinthorn, siliconvalley, or blueplanet.", "items": { "type": "string" } }, "startUrls": { "title": "Specific Pantip URLs", "type": "array", "description": "Optional search, tag, room, or topic URLs.", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "brands": { "title": "Brands to detect", "type": "array", "description": "Optional brand names to match in each topic.", "items": { "type": "string" } }, "includeTextAnalysis": { "title": "Add intent and sentiment labels", "type": "boolean", "description": "Adds lightweight intent and sentiment labels to each topic.", "default": true }, "redactPersonalData": { "title": "Redact phone numbers and email addresses", "type": "boolean", "description": "Removes phone numbers and email addresses found in public topic text.", "default": true } } }, "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 } } } } } } } } } } ```