Vexaloom Labs

Use JobStreet Southeast Asia Job Search by Keyword & Country with Python

Search JobStreet across Singapore, Malaysia, the Philippines, Indonesia and Thailand by keyword or country, with salary, job type and a direct apply link on every job.

1. Choose the data you need

Review the published README for supported collection modes, examples, and limits. The recipe below uses the current published input definition.

2. Prepare a source-based input

This JSON contains published prefills and required-field defaults. Review every value for your task before running it; it is not a promise of successful collection.

{
  "compact": false,
  "country": "sg",
  "descriptionFormat": "text",
  "emitExpired": false,
  "emitUnchanged": false,
  "includeApplicantInsights": true,
  "includeCompanyProfile": true,
  "includeCompanySalaries": false,
  "includeDetails": true,
  "includeOpenJobs": true,
  "includeRegionalSalaries": false,
  "includeReviews": false,
  "includeRoleDetails": false,
  "incrementalMode": false,
  "language": "en",
  "maxItems": 3,
  "maxOpenJobs": 20,
  "maxPages": 1,
  "maxReviewsPerCompany": 10,
  "mode": "searchJobs",
  "salaryType": "monthly",
  "sortBy": "relevance"
}

Download input.example.json and save your reviewed copy as input.json.

FieldTypeRequiredDescription
modestringrequiredWhat to fetch from JobStreet / JobsDB.
keywordsstringoptionalOne job title or keyword per line (mode=searchJobs). Each keyword is searched separately and results are deduplicated.
locationsstringoptionalOptional cities or regions, one per line; combined with each keyword (mode=searchJobs).
countrystringoptionalMarket to search. Covers JobStreet Malaysia, Singapore, Indonesia and the Philippines, plus JobsDB Thailand and Hong Kong.
classificationstringoptionalOptional job category filter (mode=searchJobs).
subClassificationstringoptionalOptional sub-category filter; can be combined with a classification (mode=searchJobs).
workTypestringoptionalEmployment type filter (mode=searchJobs).
workArrangementstringoptionalOn-site, hybrid or remote (mode=searchJobs).
dateRangestringoptionalOnly jobs listed in the last N days (mode=searchJobs).
listedAfterstringoptionalDrop jobs listed before this date (YYYY-MM-DD).
listedBeforestringoptionalDrop jobs listed after this date (YYYY-MM-DD).
salaryMinintegeroptionalDrop jobs whose advertised salary is entirely below this amount, in the unit chosen by Salary type. Jobs with no salary are dropped when this is set.
salaryMaxintegeroptionalDrop jobs whose advertised salary is entirely above this amount, in the unit chosen by Salary type.
salaryTypestringoptionalUnit for the salary minimum / maximum filters.
sortBystringoptionalResult order (mode=searchJobs).
startUrlsstringoptionalJob, search or company URLs, one per line (mode=byUrls). Each URL's own market is used; a search URL keeps its page number.
companiesstringoptionalCompany URLs, profile or organisation ids, or names, one per line (mode=companyJobs / companyProfiles). Several companies are interleaved so maxItems covers each one.
includeDetailsbooleanoptionalFetch the full description, salary, applicant demand and company snapshot for each job (job modes).
descriptionFormatstringoptionalHow job descriptions are returned.
includeApplicantInsightsbooleanoptionalAdd applicant count, application volume and resume / cover-letter percentages when the source exposes them.
includeCompanyProfilebooleanoptionalAdd company rating, industry, size, website and description to each job when available.
includeReviewsbooleanoptionalFetch employee reviews for each company (mode=companyProfiles, or company URLs in byUrls).
maxReviewsPerCompanyintegeroptionalReview cap per company.
includeCompanySalariesbooleanoptionalFetch salary ranges by role for each company.
includeOpenJobsbooleanoptionalAttach the company's current open jobs (mode=companyProfiles).
maxOpenJobsintegeroptionalCap on attached open jobs per company.
rolesstringoptionalRole titles or queries to benchmark, one per line (mode=salaryBenchmarks).
includeRegionalSalariesbooleanoptionalAdd state / city salary breakdowns for each role.
includeRoleDetailsbooleanoptionalAdd role summary, tasks, skills, growth, review statistics and similar roles.
includeKeywordsstringoptionalKeep only jobs whose title, company or description contains at least one term, one per line (case-insensitive).
excludeKeywordsstringoptionalDrop jobs whose title, company or description contains any term, one per line.
minApplicantsintegeroptionalDrop jobs with fewer applicants than this. Requires job details.
maxApplicantsintegeroptionalDrop jobs with more applicants than this. Requires job details.
languagestringoptionalInterface language. Only English is available in every market; other options are used where the market supports them.
compactbooleanoptionalKeep only core job fields (identity, company, salary, dates, URL) for lightweight feeds.
maxItemsintegeroptionalHard cap on records returned. Applies across all keywords, locations and pages.
maxPagesintegeroptionalPage cap for each keyword/location (100 jobs per page).
incrementalModebooleanoptionalEmit only new or changed jobs, using saved state between runs (job modes).
stateKeystringoptionalName for the saved incremental state. Use the same key on each scheduled run.
emitUnchangedbooleanoptionalWhen incremental mode is on, also emit jobs whose content has not changed.
emitExpiredbooleanoptionalWhen incremental mode is on, emit jobs that were seen before but have disappeared.

3. Start an Actor run

Set APIFY_TOKEN in your environment. Python 3.10 or newer is sufficient; this recipe uses no third-party packages.

Execution may incur charges. Review current pricing on Apify. The request asks for a 120-second timeout and a charge limit; these settings are subject to Apify’s pricing and do not guarantee an all-inclusive spending cap.

import json
import os
import urllib.request

# Save the schema-derived example as input.json; review and edit it first.
with open("input.json", encoding="utf-8") as stream:
    actor_input = json.load(stream)

token = os.environ["APIFY_TOKEN"]
request = urllib.request.Request(
    "https://api.apify.com/v2/acts/ICtD36jdoiLMMlH3a/runs?timeout=120&maxTotalChargeUsd=0.50",
    data=json.dumps(actor_input).encode("utf-8"),
    headers={"Authorization": "Bearer " + token, "Content-Type": "application/json"},
    method="POST",
)
# This starts a potentially billable run. Do not automatically retry this POST.
with urllib.request.urlopen(request, timeout=40) as response:
    run = json.load(response)["data"]
print("Run ID:", run["id"])
print("Status:", run["status"])
# Inspect and download results in Apify Console once the run succeeds.

4. Inspect the actual results

Open the run in Apify Console and wait for a successful completion. Use the published output schema to locate results and the dataset schema to understand declared views. Missing or optional record fields must not be treated as guaranteed values.

Job ads, company profiles, employee reviews and role salary benchmarks from JobStreet and JobsDB across six Southeast Asian markets.

Questions before you run

Which inputs are required?

The published required fields are mode

What does this guide verify?

The fields, prefills, and schema links are rendered from the published build. This is a usage recipe, not a paid live extraction test. Source availability and collection results can vary.

What if the run request times out?

Check Apify Console before retrying. The first request may already have created a run. Do not automatically repeat a run-creation POST.

Generated from source build zMLcGwfJFPYiCPd46 and its README and schemas. Source changes regenerate this guide; no third-party editorial claims are inferred.