# 104.com.tw Taiwan Jobs Scraper (`unfenced-group/taiwan104-scraper`) Actor Scrape Taiwan's #1 job board 104.com.tw: 100,000+ listings with salary (TWD), GPS, company size, skills. No proxy required. - **URL**: https://apify.com/unfenced-group/taiwan104-scraper.md - **Developed by:** [Unfenced Group](https://apify.com/unfenced-group) (community) - **Categories:** Jobs - **Stats:** 2 total users, 1 monthly users, 0.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $1.50 / 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 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 ## 104.com.tw Taiwan Jobs Scraper Scrapes job listings from [104.com.tw](https://www.104.com.tw), Taiwan's largest job board (~50k+ active listings). Uses 104's internal JSON REST APIs — no Playwright, no HTML parsing, no CSS selectors. ### Architecture Two REST API layers: | Layer | Endpoint | Purpose | |-------|----------|---------| | **Search API** | `/jobs/search/api/jobs` | Paginated listing with filters, 30 results/page | | **Detail API** | `/job/ajax/content/{hash}` | Rich per-job record — welfare, skills, contact, etc. | The detail API is optional (`enrichDetails: true`). When disabled the scraper runs search-only mode, which is fast and cheap. ### Input | Field | Type | Default | Description | |-------|------|---------|-------------| | `keywords` | `string[]` | `["software","engineer","manager"]` | Keywords in Chinese or English | | `area` | `string` | `""` | Area code for location filter. `6001001000` = Taipei. Empty = all Taiwan | | `remoteWork` | `boolean` | `false` | Filter to remote-friendly positions | | `maxResults` | `integer` | `200` | Max jobs to collect (0 = unlimited) | | `enrichDetails` | `boolean` | `false` | Enrich each job via the Detail API — see new fields below | #### Area codes (examples) | Code | Area | |------|------| | `6001001000` | Taipei City | | `6001002000` | New Taipei City | | `6001006000` | Hsinchu City | | `6001008000` | Taichung City | | `6001014000` | Tainan City | | `6001016000` | Kaohsiung City | ### Output fields #### Always present (search API) | Field | Type | Description | |-------|------|-------------| | `id` | `string` | 104 internal job number | | `url` | `string` | Job detail page URL | | `companyUrl` | `string\|null` | Company profile URL | | `title` | `string` | Job title | | `description` | `string\|null` | Job description text | | `companyName` | `string` | Employer name | | `companyId` | `string` | 104 company ID | | `industry` | `string\|null` | Industry category (Chinese) | | `companySize` | `number\|null` | Employee count code | | `address` | `string\|null` | Job location address | | `district` | `string\|null` | City/district name | | `latitude` | `number\|null` | Latitude | | `longitude` | `number\|null` | Longitude | | `nearestMrt` | `string\|null` | Nearest MRT/metro station | | `salaryMin` | `number\|null` | Minimum salary (TWD/month) | | `salaryMax` | `number\|null` | Maximum salary (TWD/month) | | `salaryCurrency` | `string` | Always `"TWD"` | | `salaryNegotiable` | `boolean` | True when salary is 面議 (negotiable) | | `jobCategories` | `string[]` | Job category tags | | `educationReq` | `array` | Education requirement codes | | `majorReq` | `string[]` | Required university majors | | `skillsReq` | `string[]` | Required skills (names, from search API) | | `languageReq` | `array` | Language requirements | | `yearsExperience` | `number\|null` | 104 experience tier code | | `jobType` | `number\|null` | 1=full-time, 2=part-time, … | | `period` | `number\|null` | Contract period | | `remoteWorkType` | `number` | 0=office, 1=fully remote, 2=hybrid | | `applicationCount` | `number` | Number of applicants | | `publishDate` | `string\|null` | Posted date (YYYY-MM-DD) | | `searchKeyword` | `string` | Keyword that surfaced this job | | `source` | `string` | Always `"104.com.tw"` | | `scrapedAt` | `string` | ISO 8601 scrape timestamp | #### Only when `enrichDetails: true` (Detail REST API) | Field | Type | Description | |-------|------|-------------| | `closeDate` | `string\|null` | Application deadline (YYYY-MM-DD) | | `postalCode` | `string\|null` | Company postal code | | `logoUrl` | `string\|null` | Company logo image URL | | `employeeCountText` | `string\|null` | Employee count as text (e.g. `"65人"`) | | `educationText` | `string\|null` | Education requirement as text (e.g. `"大學以上"`) | | `workExpText` | `string\|null` | Work experience requirement (e.g. `"3年以上"`, `"不拘"`) | | `welfareTags` | `string[]` | Welfare/benefit tags (e.g. `["年終獎金","健身器材"]`) | | `welfareText` | `string\|null` | Full welfare description | | `legalTags` | `string[]` | Labor law compliance tags (e.g. `["勞保","健保"]`) | | `skillsDetail` | `{code,name}[]` | Skills with canonical 104 codes (enables cross-job matching) | | `languageDetail` | `{language,listening,speaking,reading,writing}[]` | Language requirements with four-axis proficiency levels | | `certificateReq` | `string[]` | Certificate/license requirements | | `driverLicenseReq` | `string[]` | Driver license requirements | | `contactHr` | `string\|null` | HR contact name | | `contactEmail` | `string\|null` | HR contact email | > **Note:** When `enrichDetails: false` (default), all Detail API fields are present as `null`. ### Filters | Input | API param | Notes | |-------|-----------|-------| | `keywords` | `keyword` | One search per keyword; results deduped by job ID | | `area` | `area` | 10-digit 104 area code | | `remoteWork=true` | `wf=4` | Remote-friendly jobs | ### Pricing guide | Mode | ~CU / 100 jobs | Notes | |------|----------------|-------| | Search-only | ~0.005 CU | 1 req per 30 jobs | | Enriched | ~0.03 CU | 1 search + 1 detail req per job | ### Notes - Results sorted newest-first (`order=15, asc=0`) - Page size capped at 30 (API max) - Max 1,000 pages per keyword (30,000 results) due to 104 pagination limit - Detail API concurrency: 5 parallel requests per page batch - 104.com.tw requires `zh-TW` locale headers; English User-Agent returns 403 # Actor input Schema ## `keywords` (type: `array`): One or more job keywords in Chinese or English. Each keyword triggers a separate search. ## `area` (type: `string`): Filter results to a specific region in Taiwan. ## `remoteWork` (type: `boolean`): Limit results to remote-friendly positions. ## `maxResults` (type: `integer`): Maximum total jobs to collect across all keywords. Set to 0 for unlimited. ## `enrichDetails` (type: `boolean`): Fetch the full job detail page for every result to add: welfare benefits, skill codes, language proficiency levels, certificates, driver license requirements, HR contact email, close date, and company logo. Increases run time and cost (~1 extra request per job). ## Actor input object example ```json { "keywords": [ "software engineer" ], "area": "", "remoteWork": false, "maxResults": 200, "enrichDetails": 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("unfenced-group/taiwan104-scraper").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 = {} # Run the Actor and wait for it to finish run = client.actor("unfenced-group/taiwan104-scraper").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 '{}' | apify call unfenced-group/taiwan104-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=unfenced-group/taiwan104-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "104.com.tw Taiwan Jobs Scraper", "description": "Scrape Taiwan's #1 job board 104.com.tw: 100,000+ listings with salary (TWD), GPS, company size, skills. No proxy required.", "version": "0.0", "x-build-id": "roOSl1sFr7H2Q0FLg" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/unfenced-group~taiwan104-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-unfenced-group-taiwan104-scraper", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/unfenced-group~taiwan104-scraper/runs": { "post": { "operationId": "runs-sync-unfenced-group-taiwan104-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/unfenced-group~taiwan104-scraper/run-sync": { "post": { "operationId": "run-sync-unfenced-group-taiwan104-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "keywords" ], "properties": { "keywords": { "title": "Keywords", "type": "array", "description": "One or more job keywords in Chinese or English. Each keyword triggers a separate search.", "default": [ "software engineer" ], "items": { "type": "string" } }, "area": { "title": "Area code", "enum": [ "", "6001001000", "6001002000", "6001003000", "6001004000", "6001005000", "6001006000", "6001007000", "6001008000", "6001009000", "6001010000", "6001011000", "6001012000", "6001013000", "6001014000", "6001015000", "6001016000", "6001017000" ], "type": "string", "description": "Filter results to a specific region in Taiwan.", "default": "" }, "remoteWork": { "title": "Remote jobs only", "type": "boolean", "description": "Limit results to remote-friendly positions.", "default": false }, "maxResults": { "title": "Max results", "minimum": 0, "type": "integer", "description": "Maximum total jobs to collect across all keywords. Set to 0 for unlimited.", "default": 200 }, "enrichDetails": { "title": "Enrich with detail API", "type": "boolean", "description": "Fetch the full job detail page for every result to add: welfare benefits, skill codes, language proficiency levels, certificates, driver license requirements, HR contact email, close date, and company logo. Increases run time and cost (~1 extra request per job).", "default": 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 } } } } } } } } } } ```