1111.com.tw Jobs Scraper | Taiwan Jobs, Salaries & Alerts

What does 1111.com.tw Jobs Scraper do?

1111.com.tw Jobs Scraper pulls job listings from 1111人力銀行 (1111 Job Bank), Taiwan's second-largest job board with roughly 270,000 open jobs. Every job comes back as a clean record with 43 structured fields, including parsed TWD pay, county and district, exact applicant count and the full job description. It is the only 1111 scraper with real site-side filters plus incremental monitoring with alerts. No code, and the output goes to JSON, CSV, Excel, the API or straight into an AI agent.

Give it one or more keywords (Chinese such as 工程師 or 會計, or English for tech roles) and pick your filters. You can also paste 1111.com.tw search links, company pages or single job links. Leave everything empty and click Start to get the newest jobs across Taiwan.

New to Apify? Sign up free and use the included monthly platform credit to try this Actor. No credit card needed.

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What data can you extract from 1111.com.tw?

Every record carries 43 fields, grouped like this:

Group	Fields
Job	id, url, title, jobType (full-time / part-time / casual / senior) + jobTypeCode, updatedAt (Taiwan time, ISO 8601), isPromoted, searchKeyword, source, scrapedAt
Pay	salaryText plus parsed salaryMin, salaryMax, salaryPeriod (month / day / hour / year / piece), salaryCurrency and salaryNegotiable for 面議 listings
Location & industry	location, locationCode, county, countyEn, district, industry, industryCode, industryGroup (the top-level group)
Requirements & description	experienceYearsMin, educationAccepted, educationMin, benefits, and the full description as plain text
Company & demand	companyName, companyId, companyUrl, companyLogo, companyBadges (Top 100 / Top 500 service / Top 1000 enterprise, foreign company), applicantCount, applicantVolumeLabel, viewCount, replyWithinDays
Monitoring	changeType, contentHash, and repost detection: isRepost, repostOfId, repostDetectedAt

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Key features

• 🎚️ Real filters, not just keywords: 28 locations (all 22 Taiwan counties and cities plus overseas regions), 16 industries, job type, experience, education, updated within 1 / 3 / 7 / 14 days, minimum pay, skip negotiable pay, remote only, title-only matching and 5 sort orders. 1111 applies every one itself, so you never pay for rows you would filter out afterwards.
• 🔎 Search, company or URL scraping: run several keywords at once, or paste 1111.com.tw search results (your filters are kept), company pages (/corp/…) for all of an employer's open jobs, or single job links (/job/…).
• 🧾 Parsed Taiwan salaries: pay text like 時薪 700元~1,000元 becomes numbers plus a period and currency, ready for salary benchmarking.
• 🗺️ Decoded location & industry: county and district split out, English county names, the top-level industry group next to the detailed industry, and education levels as readable labels. Switch location and industry names to English with one setting.
• 📈 Demand signals: exact applicant count, view count, company badges and the employer's typical reply time, so you can see which roles are crowded and which employers respond.
• ⚡ Fast & low-cost: each results page brings back 30 complete jobs with the full description, so there are no extra per-job page visits.
• ♻️ Incremental monitoring & alerts: schedule it and get only what changed, with repost detection, pushed to Telegram, Slack, Discord or any webhook.
• 🤖 AI-ready: compact mode, drop-empty mode and a description-length cap keep payloads small for LLMs and MCP clients.

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🚀 How to scrape 1111.com.tw

1. Open the Actor and enter one or more search keywords (e.g. 工程師, 會計, 護理師), then pick filters. Or paste a 1111.com.tw link.
2. Set Max results (0 = no limit).
3. (Optional) Turn on incremental mode and a notification channel, then Schedule it.
4. Click Start. Results stream into the Output tab, ready to download as JSON, CSV or Excel.

No login, no cookies, no setup.

Quick-start example input

{
  "query": "工程師",
  "locations": ["hsinchu-city", "hsinchu-county"],
  "industries": ["tech"],
  "jobTypes": ["full-time"],
  "minSalary": 50000,
  "sortBy": "salary-high",
  "maxResults": 200
}

This finds up to 200 full-time engineering jobs at tech and semiconductor employers in Hsinchu that pay at least 50,000 TWD a month, best-paid first. It's a ready-made salary benchmark for Taiwan's science-park corridor.

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Input

Configure it in the visual editor with no code, or pass JSON through the API. 33 inputs are available, grouped as they appear in the editor.

🔎 Search

Field	Type	What it does
query	string	Job title, skill or company name. Separate several keywords with commas; each runs as its own search and results are merged and de-duplicated.
startUrls	array	1111.com.tw search links, company pages (/corp/…) or single job links (/job/…).
maxResults	integer	Cap on jobs across all searches (default 25, 0 = no limit).

🎚️ Filters

Several values inside one filter widen the search (OR). Different filters narrow it (AND).

Field	Type	What it does
locations	array	22 Taiwan counties and cities (taipei, new-taipei, taoyuan, hsinchu-city, taichung, tainan, kaohsiung…) plus china, asia, americas, europe, africa, oceania.
industries	array	16 industry groups: tech, manufacturing, finance-insurance, healthcare, wholesale-retail, food-hospitality, logistics-trade, construction-real-estate, education-arts and more.
jobTypes	array	full-time, part-time, casual (student part-time), senior (management).
experience	enum	none, under-1, 1-3, 3-5, 5-10, 10-plus years.
education	array	junior-high, high-school, associate, bachelor, master, phd.
postedWithinDays	enum	Jobs posted or refreshed in the last 1, 3, 7 or 14 days.
salaryType	enum	Pay period for the minimum: monthly, daily, hourly, yearly, per-piece.
minSalary	integer	Minimum pay in TWD for that period, e.g. 40000 monthly or 200 hourly. 1111 matches on the top of the advertised range, so a 30,000–50,000 job passes a 50,000 minimum.
excludeNegotiableSalary	boolean	Leave out jobs that list pay as negotiable (面議).
remoteOnly	boolean	Only jobs that can be done remotely.
titleOnly	boolean	Match keywords against the job title only, for fewer and more precise results.
sortBy	enum	relevance, newest, salary-high, salary-low, experience-low.

📄 Output

Field	Type	What it does
language	enum	zh (Traditional Chinese) or en for location and industry names.
descriptionMaxLength	integer	Cut each description to this many characters. Empty = full text.
compact	boolean	Core fields only (title, company, pay, location, dates).
excludeEmptyFields	boolean	Drop null, empty-string and empty-array fields.

♻️ Incremental monitoring and 🔔 notifications

incrementalMode, stateKey, emitUnchanged and emitExpired are explained under How to monitor 1111.com.tw with incremental mode below. The Telegram, Slack, Discord and webhook inputs are covered under How to set up 1111.com.tw alerts.

⚙️ Advanced

Field	Type	What it does
proxyConfiguration	object	Connection settings. The default works for most runs.
maxRequestRetries	integer	Retries per failed request (0–10, default 3).
ignoreUrlFailures	boolean	Skip start URLs that aren't 1111.com.tw job, company or search links instead of failing.

More example inputs

Remote-friendly part-time jobs in Taipei, refreshed this week:

{
  "locations": ["taipei", "new-taipei"],
  "jobTypes": ["part-time", "casual"],
  "remoteOnly": true,
  "postedWithinDays": "7",
  "sortBy": "newest",
  "maxResults": 0
}

Every open job at one employer, with English location and industry names:

{
  "startUrls": [{ "url": "https://www.1111.com.tw/corp/71626494" }],
  "language": "en",
  "maxResults": 0
}

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Output

Each dataset item is one job. A real record:

{
  "id": "98591252",
  "url": "https://www.1111.com.tw/job/98591252",
  "title": "(兼職工讀) Python 課程講師",
  "companyName": "藝派科技股份有限公司",
  "companyId": "71626494",
  "companyUrl": "https://www.1111.com.tw/corp/71626494",
  "salaryText": "時薪 700元~1,000元",
  "salaryMin": 700.0,
  "salaryMax": 1000.0,
  "salaryPeriod": "HOUR",
  "salaryCurrency": "TWD",
  "salaryNegotiable": false,
  "location": "新竹市東區",
  "county": "新竹市",
  "countyEn": "Hsinchu City",
  "district": "東區",
  "industry": "其他教育服務業",
  "industryGroup": "教育╱出版╱藝文相關",
  "jobType": "Part-time",
  "experienceYearsMin": 0,
  "educationAccepted": ["Bachelor", "Master", "PhD"],
  "educationMin": "Bachelor",
  "description": "利用公司提供之教學內容與教材進行Python程式語言授課。須於正式授課前接受公司培訓，確認教學技巧與教材之正確使用。…",
  "applicantCount": 1,
  "applicantVolumeLabel": "1 ~ 5 人應徵",
  "viewCount": 104,
  "replyWithinDays": 3,
  "isPromoted": false,
  "updatedAt": "2026-09-22T00:10:00+08:00",
  "source": "1111.com.tw",
  "searchKeyword": "python",
  "scrapedAt": "2026-09-24T22:07:34.774623+00:00"
}

Every field is present in standard mode (missing values are null); the monitoring fields are added in incremental mode. Compact mode returns the core fields only, and excludeEmptyFields drops empties entirely. The Output tab ships two ready-made views: Overview (title, company, pay, location, job type, industry, updated, link) and Pay (min / max TWD, period, negotiable, county, industry group).

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♻️ How to monitor 1111.com.tw with incremental mode

Schedule the Actor with incremental mode on and it becomes a change feed. The first run saves every matching job as a baseline. Each later run compares against the previous one and emits only NEW jobs, UPDATED jobs (pay, description or other content changed) and, if you turn on emitExpired, EXPIRED jobs that have closed. Unchanged jobs are recognised and skipped, so you don't pay for them again. After the baseline, your cost follows how much the search changes, not how many jobs you watch: if 5% of 1,000 tracked jobs change in a day, you pay for 50 records.

Repost detection: employers on 1111 sometimes close a job and re-list it under a new ID. Incremental mode flags these with isRepost: true and links the earlier listing in repostOfId, so a re-listed job doesn't look like new hiring demand.

This works for company pages too: schedule a rival's /corp/… page and every role they open shows up as NEW, every role they close as EXPIRED.

Setting up scheduled monitoring

1. Configure your keywords and filters, and turn on Incremental mode.
2. Run it once. This saves the baseline.
3. Open the Schedules tab and set a recurring run (e.g. hourly or daily).
4. Add a notification channel (next section).

Each tracked search keeps its own state, named after your search settings. Set stateKey to name it yourself, and emitUnchanged to also get jobs that haven't changed.

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🔔 How to set up 1111.com.tw alerts

Get a message as soon as a matching job appears on 1111. Fill in only the channels you want:

Channel	What to configure
✈️ Telegram	telegramToken (from @BotFather) + telegramChatId
💬 Slack	slackWebhookUrl (Incoming Webhook URL)
🎮 Discord	discordWebhookUrl (channel webhook URL)
🪝 Webhook	webhookUrl (+ optional webhookHeaders) receives structured JSON, ideal for n8n / Make / Zapier

Each message lists the job title, company, pay, location and link, up to notificationLimit jobs (1–20, default 5). Tokens and webhook URLs are secret inputs: encrypted, masked in the UI and never written to the run log. Channels fire independently, so a broken channel can't stop the scrape or the others. Pair alerts with incremental mode and you hear only about genuinely new or changed jobs.

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💡 What can you do with 1111.com.tw data?

Salary benchmarking in Taiwan

Parsed salaryMin / salaryMax with a pay period let you compare monthly, hourly and yearly pay by county, industry group and experience level. Sort by pay and filter by minimum pay to map the top of the market in minutes.

Recruitment and talent sourcing

Agencies and in-house recruiters can track which employers are hiring for which roles, and where. Company badges and reply times show who is a large, responsive employer.

Job alerts for candidates

Set a keyword, a county and a minimum pay, schedule it, and get new matches on Telegram or Slack before most applicants see them. The applicant count shows how crowded a posting already is.

Labour-market research

Count openings by industry, county, education level and job type over time. With roughly 270,000 open jobs, 1111 is one of the best public signals of Taiwan's hiring demand.

Competitor hiring intelligence

Watch a rival's company page on a schedule to spot expansion, new product lines or cuts as they happen.

Feed AI agents and LLM pipelines

Send compact JSON straight into an LLM context, an MCP tool or a vector store, with the description capped to keep token costs low.

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💰 How much does it cost to scrape 1111.com.tw?

This Actor uses Apify's pay-per-event model: a small fee when a run starts, plus a fee per job returned. See the Actor's Pricing tab for the current numbers. They're shown live, so this page never goes out of date.

Two things keep your bill down: site-side filters (jobs you filter out are never collected or billed) and incremental mode (after the baseline you pay only for what changed).

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🔌 Integrations, export & API

Export to JSON, CSV, Excel or an HTML table, run it on a schedule, connect it to Google Sheets, Slack, Make, Zapier and n8n, or use it as an MCP tool for AI agents. From your own code, use the REST API or the JavaScript / Python clients:

from apify_client import ApifyClient

client = ApifyClient("<YOUR_API_TOKEN>")

run_input = {
    "query": "工程師, 半導體",
    "locations": ["hsinchu-city", "taipei"],
    "minSalary": 50000,
    "maxResults": 100,
}

run = client.actor("corvuslab/taiwan1111-jobs-scraper").call(run_input=run_input)

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item["title"], item["companyName"], item["salaryMin"], item["county"])

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❓ FAQ

Do I need a 1111.com.tw account or login? No. It collects public job listings only and works without an account, cookies or setup.

How many jobs can I get from one search? 1111.com.tw shows at most 4,500 jobs per search. When a search has fewer matches than that and you collect them all, you get every one; the jobs after the first page come in pay order (highest first), the only order in which 1111 pages through a full list without skipping jobs. On a broader search, your sort order is kept, but 1111 reshuffles results between pages, so a no-limit run typically returns around 3,500 unique jobs. To go wider, split the search by county, industry or job type so each part stays under 4,500 matches, or add more keywords separated by commas.

Should I search in Chinese or English? Chinese keywords (工程師, 會計, 業務, 護理師) give by far the widest coverage, because most listings on 1111 are written in Traditional Chinese. English works well for tech roles (python, java, AI). To get location and industry names back in English, set language to en.

Is there a posting date? 1111 doesn't reliably publish an original posting date, so the record carries updatedAt: the last time the employer posted or refreshed the job, in Taiwan time (+08:00). Use the Updated within filter to get only jobs refreshed today or in the last 3, 7 or 14 days.

Why does a negotiable (面議) job still have a salaryMin? Taiwan requires listings with negotiable pay to state a monthly floor (typically "40,000 or more"). The scraper keeps that floor in salaryMin, sets salaryNegotiable: true and leaves salaryMax empty. To skip these jobs completely, turn on Skip 'negotiable' pay.

How many people have applied? applicantCount gives the exact number of applicants so far. The site itself only shows a band (for example 1 ~ 5 人應徵, which it also uses for jobs with no applicants yet), and that label is kept in applicantVolumeLabel.

Does it return recruiter emails or phone numbers? No. Candidates apply to 1111 jobs through the site, and listings almost never publish contact details. Each record gives you the company name, ID and company page link to research the employer further.

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⚖️ Is it legal to scrape 1111.com.tw?

This Actor collects only publicly available job listings, the same information any visitor sees on 1111.com.tw. You're responsible for how you use it, especially any personal information, and for complying with the site's terms and applicable law, including Taiwan's Personal Data Protection Act and the GDPR where they apply. Not affiliated with, endorsed by or sponsored by 1111 Job Bank (1111人力銀行).

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