OnlineJobs.ph Scraper

OnlineJobs.ph doesn't offer a public API, but this scraper acts as an unofficial OnlineJobs.ph API to help you extract the job data you need, when you need it, and at scale. Just type in a search keyword, set how many pages to crawl, and get clean, structured job listings exported in the format of your choice.

Built with Crawlee (BeautifulSoup parser + httpx client) and deployed as an Apify Actor.

What does OnlineJobs.ph Scraper do?

OnlineJobs.ph Scraper extracts job postings from OnlineJobs.ph — the largest marketplace for hiring Filipino virtual assistants and remote workers — and exports them into JSON, CSV, Excel, or HTML. You can then use this data in your own data projects, hiring pipelines, market reports, and applications.

• 🔎 Search any keyword (e.g. virtual assistant, gtm, seo) — or leave it blank to scrape all jobs
• 📄 Scrape job listings across multiple search-result pages (30 jobs per page)
• 🧾 Extract job title, employer, employment type, salary, posted date, description, and required skills
• 📝 Get full job descriptions by default, or switch fetchDetails off for a run that is ~30x faster
• ⚡ In fast mode a whole page of 30 jobs costs a single request, so a 5-page crawl finishes in seconds
• 📤 Export data in multiple formats: JSON, CSV, Excel, or HTML
• 🔌 Connect to any AI chatbot or workflow using the Apify API, MCP server, webhooks, and SDKs (Python & Node.js)

What data can you get from OnlineJobs.ph?

🧑‍💼 Job title	⏱ Employment type	💵 Salary
📅 Date posted	📅 Date last updated	🏷️ Required skills
📝 Description	🏢 Employer name	🔗 Job detail URL

Note: employerName is only available for employers who have uploaded a logo (roughly 15% of postings) — it comes from the logo's alt text on the search results. The employer section on the job page itself is behind a login wall, so there is no way to fill it in for the rest.

Why scrape OnlineJobs.ph?

• 🕵️ Research the Filipino remote-work and VA market by role, salary, and recency
• 📈 Monitor hiring trends and in-demand skills over time
• 💸 Benchmark salaries across roles and employment types
• 🗂 Build a custom database of available positions
• 🤺 Track competitors' job postings and hiring activity
• 📩 Feed an automated job-search or lead-generation pipeline

How to use OnlineJobs.ph Scraper

OnlineJobs.ph Scraper is built for an easy start, even if you've never scraped before:

1. Create a free Apify account using your email.
2. Open OnlineJobs.ph Scraper.
3. Enter a Job Keyword and the Max Pages you want to crawl. Untick Fetch full job descriptions if you don't need the untruncated description — the run gets about 30x faster.
4. Click Start and wait for the data to be extracted.
5. Download your data in JSON, CSV, Excel, HTML, or XML.

Input

The input is a simple JSON object. OnlineJobs.ph Scraper recognizes the following parameters:

Parameter	Type	Required	Default	Description
jobKeyword	string	No	—	Search keyword (e.g. virtual assistant, gtm). Blank = all jobs.
maxPages	integer	No	5	Maximum search-result pages to crawl (30 jobs per page).
fetchDetails	boolean	No	true	Open each job's page for fullDescription and dateUpdated. Costs 31 requests per page instead of 1; set to false for a much faster run.

Input example

{
  "jobKeyword": "virtual assistant",
  "maxPages": 3,
  "fetchDetails": true
}

Output

The results are wrapped into a dataset you can find in the Storage tab and access via the API. Each scraped job is a separate item in the dataset.

You can manage the results in any language (Python, PHP, Node.js). See the API reference to learn more about getting results from this Actor.

Scraped OnlineJobs.ph job listings

The structure of each item looks like this:

{
  "jobUrl": "https://www.onlinejobs.ph/jobseekers/job/Virtual-Assistant-1234567",
  "jobTitle": "Executive Virtual Assistant",
  "employerName": "Acme Remote Staffing",
  "employmentType": "Full Time",
  "salary": "$4-6 per hour",
  "datePosted": "2026-05-31",
  "dateUpdated": "2026-05-31",
  "descriptionSnippet": "We are looking for an experienced executive virtual assistant to manage calendars, handle email, and support day-to-day...",
  "fullDescription": "We are looking for an experienced executive virtual assistant to manage calendars, handle email, and support day-to-day operations...",
  "skills": ["Email Management", "Calendar Management", "Customer Support"]
}

Output fields

Every record carries the same keys regardless of input, so the dataset schema is stable across runs.

Field	Type	Description
jobUrl	string (URL)	Canonical job detail URL
jobTitle	string	Job title
employerName	string | null	Employer name; null unless the employer uploaded a logo
employmentType	string	Full Time, Part Time, Gig, or Any
salary	string | null	Raw salary string (e.g. $4-6 per hour); null if absent
datePosted	string	Date posted, ISO YYYY-MM-DD
dateUpdated	string | null	Date last updated, ISO YYYY-MM-DD. null if fetchDetails is off
descriptionSnippet	string	First ~300 characters of the description, as shown on the search results
fullDescription	string | null	Complete description, <ojfilter> tags stripped. null if fetchDetails is off
skills	string[]	Listed skills / top-skill labels; empty if the posting has none

During the run

The scraper reads most fields straight off the search-results pages, which already carry the title, employer, employment type, salary, posted date, skills, and a description snippet for all 30 jobs in a single request per page.

With fetchDetails on (the default), it adds a second phase that opens each job's own page for the two fields the results page can't give you — the untruncated fullDescription and dateUpdated. That costs 31 requests per page instead of 1: roughly 30 seconds per page, so a 5-page run takes about 3 minutes. Make sure the Actor's run timeout has room for it, or switch fetchDetails off to get the same run in seconds without those two fields.

The crawler caps itself at 60 requests/minute across 5 workers. OnlineJobs.ph publishes Crawl-delay: 5 in its robots.txt; the listing-first design means a default crawl now makes far fewer requests in total than the old one-request-every-5-seconds approach did, while finishing in seconds rather than minutes.

Jobs whose detail page has been deleted (HTTP 410 or a 404 body) are skipped rather than recorded as empty rows.

Integrations

You can connect OnlineJobs.ph Scraper with almost any cloud service or web app. Apify offers integrations with Make, Zapier, Slack, Google Sheets, Google Drive, GitHub, and more, plus webhooks to trigger actions whenever a run finishes.

Using the Apify API

The Apify API gives you programmatic access to run the Actor, schedule it, and fetch results. Use the apify-client NPM package for Node.js or the apify-client PyPI package for Python.

Using an MCP server

With the Apify API you can use this Actor through an MCP server and connect it to clients like Claude Desktop, or build your own. Read more about setting up Apify Actors with MCP.

Is it legal to scrape OnlineJobs.ph?

This scraper only collects data that employers have chosen to publish publicly, and it rate-limits itself. It does not extract data behind the login wall (such as employer contact details).