# 1111 Job Bank Scraper - Taiwan Jobs & Companies (`scrapingmonkey/1111-scraper`) Actor Extract 1111 Taiwan job and company search results with employer names, locations and published pay. Build vacancy and employer datasets. Choose the collection mode and set a result limit for each input. - **URL**: https://apify.com/scrapingmonkey/1111-scraper.md - **Developed by:** [ScrapingMonkey](https://apify.com/scrapingmonkey) (community) - **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. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event ## What's an Apify Actor? An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes. 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. Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md. ## 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. Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run. For examples already wired to this Actor's own input schema, see the [API](#api) section below. Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`). # README Collect public job and employer search results with **1111 Job Bank Scraper**. Build recruitment lists with advertised compensation, candidate requirements, employer benefits and company background in the same workflow. Choose the records you need and export them to CSV, JSON or Excel without supplying a site login. Use the results for Taiwan employer discovery and vacancy tracking. Submit matching public inputs in one run, retain the original record links, and send the structured output to your recruitment spreadsheet, reporting dashboard or research database. | At a glance | Details | |---|---| | 📥 Input | Search fields or links to the selected items; see the examples below | | 📤 Output | One row per vacancy / company | | 📄 Pagination | Automatic up to `maxResults` for each input, when more results are available | | 🔐 Login required | No | | ⚡ Processing | Multiple inputs per run with automatic retries for temporary errors | | 💾 Delivery | One complete Apify dataset table; CSV, JSON and Excel export | ### What the 1111 Job Bank scraper collects 💼 Collect job and employer search results. Build recruitment lists with advertised compensation, candidate requirements, employer benefits and company background in the same workflow. | Collection | What you receive | |---|---| | 1111 Job Bank jobs scraper | Records containing job titles, employers, locations, published pay, skills, ready for vacancy discovery and hiring-demand research. | | 1111 Job Bank company search scraper | Records containing industries, company descriptions, locations, benefits, job counts, ready for employer prospecting and recruitment account research. | Data can include: - Record identity: Record identifiers, public links and the published job title or company name. - Pay and compensation: Published salary or wage text, plus the amount, range, currency and pay-period fields supplied with the record. - Employer information: Employer names, identifiers and profile links, with the company information attached to the public record. - Location and workplace: Published workplace and location information, addresses and geographic coordinates. - Descriptions and requirements: Published job or company descriptions, HTML and readable text where supplied and candidate requirements. - Skills and qualifications: Required skills, experience or seniority requirements and education requirements. - Employment and benefits: Employment and contract types and published benefits. - Dates and hiring activity: Publication and update information, visible job counts, advertised openings and published application or view counts. ### How to scrape 1111 Job Bank 🚀 1. Choose **Job Search** in **What to collect**, or select another collection mode. 2. Fill in the search fields, or paste links to the items you want to collect. 3. Set the maximum results and any optional filters. 4. Start the Actor and review the collected rows. 5. Export the dataset or connect it to your application. #### 1111 Job Bank jobs scraper — input example ```json { "mode": "1111-job-search", "keywords": "工程師", "maxResults": 10 } ``` `maxResults: 10` means up to 10 results for **each input**. It does not guarantee that the website has that many matches. You can set the limit as low as 1. #### 1111 Job Bank company search scraper — input example ```json { "mode": "1111-company-search", "keywords": "工程師", "maxResults": 10 } ``` ### 1111 Job Bank data fields and complete output 📦 | Field group | Included data | |---|---| | Record identity | Record identifiers, public links and the published job title or company name. | | Pay and compensation | Published salary or wage text, plus the amount, range, currency and pay-period fields supplied with the record. | | Employer information | Employer names, identifiers and profile links, with the company information attached to the public record. | | Location and workplace | Published workplace and location information, addresses and geographic coordinates. | | Descriptions and requirements | Published job or company descriptions, HTML and readable text where supplied and candidate requirements. | | Skills and qualifications | Required skills, experience or seniority requirements and education requirements. | | Employment and benefits | Employment and contract types and published benefits. | | Dates and hiring activity | Publication and update information, visible job counts, advertised openings and published application or view counts. | Each collected item is a separate row. `input` identifies the submitted value and `result_type` identifies the selected mode. All returned fields appear in one table; columns that do not apply to a mode can be empty. A complete JSON result is shown for every collection mode below, in the same order as the input examples. Each example includes every field for its mode; text and lists are not shortened. Values are representative and can change. #### 1111 Job Bank jobs scraper — complete JSON result ```json { "result_type": "1111-job-search", "input": "https://www.1111.com.tw/search/job", "status": "success", "id": "55055760", "url": "https://www.1111.com.tw/job/55055760", "industry": "其他金屬相關製造", "location": "桃園市龍潭區", "address": null, "description_text": "1.模夾檢具開發日程進度排定及推動。\n2.外包模具/零件管理。\n3.問題點對策及改善日程推動。\n4.交貨各節點日程及零件精度控管。\n5.試作及量產初期品質履歷建立。\n6.主管交辦臨時事項。\n7.環境維護。", "benefits_text": null, "benefits": [ "年終獎金", "員工旅遊" ], "latitude": null, "longitude": null, "source_status": null, "title": "開發工程師", "company_id": "2190290", "company_name": "永仁工業股份有限公司", "company_url": "https://www.1111.com.tw/corp/2190290", "company_logo_url": null, "description_html": null, "salary_text": "月薪 35,000元~40,000元", "salary_min": null, "salary_max": null, "salary_currency": null, "salary_period": null, "published_at": null, "updated_at": "2026/09/18 15:52:58", "employment_type": null, "experience": "0", "education": "2, 8, 16", "skills": null, "requirements_text": null, "job_categories": null, "recruitment_count": null, "applicant_count_text": "1 ~ 5 人應徵" } ``` #### 1111 Job Bank company search scraper — complete JSON result ```json { "result_type": "1111-company-search", "input": "https://www.1111.com.tw/search/corp", "status": "success", "id": "69016331", "url": "https://www.1111.com.tw/corp/69016331", "name": "白圍牆地中海景觀咖啡", "industry": "餐廳╱餐館", "location": "桃園市龍潭區", "address": null, "website_url": null, "logo_url": null, "description_text": "是夢嗎? 當純潔的「白」遇上了清澈的「藍」,這家店整體希臘風格的設計。 聽著輕鬆的爵士樂,幫遠道而來的朋友泡一杯香濃的咖啡,是一種幸福的分享! 晚上~天黑了~燈火逐漸漸點亮,如同星海倒映的畫面真是讓人感動, 可以在這種夢境般的環境裡工作,算是奢侈的幸福嗎? 我們需要尋找跟我們一樣,有理想、有熱誠、有股帶傻的衝勁、 可以把來這裡作客的人當做好朋友一樣的款待, 並且在未來想自己開店的夥伴!~ 來吧~跟我們聯繫吧~", "products_text": null, "management_text": null, "benefits_text": null, "benefits": null, "benefit_codes": [ "1001", "1002", "1203", "1207", "1208", "1304", "1309", "1102", "1104", "1105", "1106", "1108", "1109", "1301", "1303", "1403", "1502", "1603", "1604", "1707", "1803", "1805", "1901", "1902", "1909", "1910", "1912", "1004", "1005", "1006" ], "employee_count_text": "15", "capital_text": null, "job_count": null, "follower_count": null, "latitude": null, "longitude": null, "source_status": null } ``` Images, tags and other lists stay with their parent result instead of creating extra rows. Invalid or unavailable inputs, inputs with no results, and requests that fail after all retries produce a row with `status: failed`. At most one failed row is saved per input; it includes `error_code` and `error_message` explaining the outcome. A normal end of pagination after collected results does not add a failed row. ### Input requirements and collection settings ⚙️ | Setting | What to enter | |---|---| | **What to collect** (`mode`) | Choose the information to collect. | | **Maximum results per search or link** (`maxResults`) | Collect up to this many results for each search or link. Minimum: 1. | | **Job title or keywords** (`keywords`) | For example, accountant or software engineer. Leave empty to browse all jobs. | | Collection mode | Fields to use | |---|---| | Company Search | **Company name** | | Job Search | **Job title or keywords** | The result limit applies separately to each search or supplied link. Collection ends earlier when no more matching results are available. ### 1111 Job Bank scraping use cases 🎯 #### Hiring activity monitoring Run repeat collections of 1111 Job Bank listings and compare vacancy titles and original links over time to identify newly advertised roles and changes in hiring activity. #### Advertised compensation research Compare the compensation published in 1111 Job Bank records. Keep the original salary text, units and available pay-period context when preparing recruitment or labour-market reports. #### Employer qualification Research organisations listed on 1111 Job Bank before adding them to recruitment or partnership lists. Retain their published identity, company description and available hiring context with the original profile link. #### Skills demand analysis Analyse the skills, experience or qualifications actually published in 1111 Job Bank records to compare hiring requirements across role groups and prepare recruitment briefs. #### Working-condition comparison Compare the contract, schedule or benefit information published in 1111 Job Bank records when researching how employers present their opportunities. ### Pricing and saved-result behavior 💰 See the Actor's **Pricing** tab for the active pricing model and current rate. Store settings may change, so this README does not claim a fixed cost. Under dataset-item pricing: - Each collected item saved in the dataset is one result. - Images, tags and other values attached to that item do not create additional rows. - Automatic retry attempts do not create extra dataset rows. - A saved `failed` row is also one billable dataset item, including invalid inputs, unavailable items, no results, or exhausted retries. At most one failed row is saved per input, including when some results were already collected. - `maxResults` caps all saved rows for each input, including its failed row. Repeated copies of the same input are processed once. More inputs or a higher limit can produce more saved results. ### 1111 Job Bank scraper API and integrations 🔌 Replace `$ACTOR_ID` with the ID shown in the Actor API tab and `$APIFY_TOKEN` with your token. ```bash curl -X POST "https://api.apify.com/v2/acts/$ACTOR_ID/runs?token=$APIFY_TOKEN" \ -H "Content-Type: application/json" \ -d '{"mode":"1111-job-search","keywords":"工程師","maxResults":10}' ``` Use schedules for recurring collection, webhooks for completion notifications, and Apify integrations for Google Sheets, Make, Zapier, cloud storage, a CRM or your own application. ### Reliability, retries, and public-data limits ⚠️ Temporary connection errors, timeouts and access restrictions are retried automatically, up to five attempts. Invalid inputs save a failed row without an HTTP request; confirmed unavailable items save a failed row without unnecessary retries. Exhausted retries also save a failed row. Results already collected remain available if a later request fails, and normal pagination completion adds no error row. Collection also stops after two consecutive fully processed pages add no new results, even if the website provides another cursor. Required detail lookups are completed before checking a page; new results reset the counter, and independent reply branches are checked separately. Failures while initializing the Actor, saving data or scheduling requests stop the run instead of being reported as a failed website result. Job and company searches accept keywords and the site's ks search parameter; other website filters are outside this Actor's scope. 1111 Job Bank controls which information is publicly available. Removed, private or restricted items may be unavailable, and optional values can be null or empty. A run can still fail if the results cannot be saved. ### Frequently asked questions ❓ #### Does it require an account on 1111 Job Bank? No. You do not need to provide an account, password or login cookies. Only publicly available information is collected. #### How does maxResults work? It limits the number of saved results separately for every input. The minimum is 1. With maxResults set to 10, each input returns at most 10 available results. #### Can I collect employer profiles as well as jobs? Yes. Company Search returns the public employer records found for your query, while Job Search returns vacancies and the available employer context. #### Which search filters can I use? Choose company name, job title or keywords in the input form. #### Why are some fields empty? The website may not publish that value, or the field may belong to a different collection mode. Missing values remain null or empty instead of being guessed. #### Can I export the results to a spreadsheet? Yes. Download CSV, Excel or JSON from the Apify dataset. All returned fields are included in the same results table. ### Support and responsible use 🛟 For a reproducible issue, share the run ID, selected mode, result limit and a safe public example through the support channel. Never disclose access tokens, passwords or proxy credentials. Use public 1111 Job Bank information lawfully and responsibly. Follow applicable privacy, copyright, data-protection, contractual and platform requirements when storing, analyzing or redistributing results. # Actor input Schema ## `mode` (type: `string`): Choose the information to collect. ## `maxResults` (type: `integer`): Collect up to this many results for each search or link. Minimum: 1. ## `keywords` (type: `string`): For example, accountant or software engineer. Leave empty to browse all jobs. ## Actor input object example ```json { "mode": "1111-job-search", "maxResults": 10, "keywords": "工程師" } ``` # Actor output Schema ## `results` (type: `string`): Collected entities and failed input outcomes, with all available fields and error explanations in one dataset. # 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 = { "mode": "1111-job-search", "maxResults": 10, "keywords": "工程師" }; // Run the Actor and wait for it to finish const run = await client.actor("scrapingmonkey/1111-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 = { "mode": "1111-job-search", "maxResults": 10, "keywords": "工程師", } # Run the Actor and wait for it to finish run = client.actor("scrapingmonkey/1111-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}") for item in client.dataset(run.default_dataset_id).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "mode": "1111-job-search", "maxResults": 10, "keywords": "工程師" }' | apify call scrapingmonkey/1111-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "type": "http", "url": "https://mcp.apify.com/?tools=fetch-actor-details,scrapingmonkey/1111-scraper" } } } ``` The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer ` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations). ## OpenAPI specification Download the OpenAPI definition: https://api.apify.com/v2/actors/Z9AaGmoMFwsRvOer4/builds/CNIXHImvzd32UCYor/openapi.json