Tech in Asia Scraper

Extract articles, startup and investor profiles, and job postings from Tech in Asia — Asia's leading technology and startup publication — as clean, structured JSON.

Why use this actor

• No account, no login, no API key. Nothing to sign up for and nothing to configure.
• Three datasets in one actor. The newsroom (79,000+ articles), the startup and investor database (120,000+ companies with funding histories), and the job board — each addressable from the same run.
• Funding intelligence you can filter. Find every Series A company in Indonesia, every investor with more than $1M deployed, or every startup in a given industry — with round amounts, dates, participating investors and exit counts attached.
• Salary data on job postings. Pay ranges, currency, period, equity flag, required experience and skills.
• Search that actually reaches the archive. Full-text search across the whole article archive with category, author, article-type and date-range filters.
• Stable, predictable JSON. Every record carries the same small set of tracking fields, so runs drop straight into a database, spreadsheet or analytics pipeline.
• Automatic retries and export to JSON, CSV or Excel. Schedule it and forget it.

How it works

1. Choose a mode — what you want to collect.
2. Fill in the handful of inputs that mode uses (a search phrase, a category slug, a country, or nothing at all).
3. Set Maximum records to cap the run.
4. Press Run. Records stream into the dataset as they are collected, so you can watch results arrive.

You don't manage scrapers, browsers, accounts or blocks — the actor handles retries and recovers on its own if the site changes how search is wired up.

Modes

Mode	What you get
latestPosts	The newsroom feed, newest first
searchPosts	Full-text article search with filters — the deepest reach into the archive
categoryPosts	Articles in one or more categories
tagPosts	Articles under one or more tags
videoPosts	Video articles
postDetail	Specific articles by URL, slug or id
taxonomies	Every category, the curated topic map, and a sample of tags
trendingQuestions	The trending-questions leaderboard with pageview counts
companies	The startup and investor database, filterable by country, funding stage, industry and amount raised
companyDetail	Full profiles for specific companies
jobs	The job board, with salaries

Input

Search articles

{
  "mode": "searchPosts",
  "searchQueries": ["fintech indonesia"],
  "postTypes": ["post"],
  "filterCategories": ["Fintech"],
  "publishedAfter": "2026-01-01",
  "maxItems": 200,
  "includeArticleContent": false
}

Find funded startups

{
  "mode": "companies",
  "companyCountries": ["Indonesia"],
  "fundingStages": ["Series A"],
  "minAmountRaised": 1000000,
  "maxItems": 500
}

Sweep the whole company database

{
  "mode": "companies",
  "maxItems": 20000
}

Job board

{
  "mode": "jobs",
  "remoteJobsOnly": true,
  "maxItems": 300
}

Field	Type	Description
mode	string	Which dataset to read. See the table above.
maxItems	integer	Stop after this many records. Default 200.
includeArticleContent	boolean	Adds the full article body to article records. Off by default.
searchQueries	array	One search phrase per line (searchPosts). Empty sweeps the archive newest-first.
postTypes	array	Filter by article type: post, short, visual-story.
filterCategories	array	Filter by category display name, e.g. Fintech. Exact spelling.
filterAuthors	array	Filter by author display name. The only way to list one writer's work.
publishedAfter / publishedBefore	string	Date bounds, YYYY-MM-DD or a unix timestamp.
categorySlugs	array	Category slugs, e.g. fintech (categoryPosts). A full category URL also works.
tagSlugs	array	Tag slugs, e.g. indonesia (tagPosts).
postUrls	array	Article URLs, slugs or numeric ids (postDetail).
includeCategories / includeTags	boolean	What the taxonomies mode emits.
companyQuery	string	Free-text company search. Leave empty to sweep the whole database.
companyCountries	array	Full country names as the database spells them, e.g. Indonesia.
fundingStages	array	Seed, Series A, Series B, Series C, Series D, Pre-series A, Bridge, Debt, M&A, Early stage, Strategic investment, Unspecified Stage.
companyIndustries	array	Industry names as the database spells them.
investorsOnly	boolean	Keep only entities flagged as investors.
minAmountRaised	integer	Minimum lifetime total raised, in USD.
companySlugs	array	Company slugs (companyDetail).
jobQuery	string	Free-text job search. Empty lists the whole board.
remoteJobsOnly	boolean	Remote postings only.
proxyConfiguration	object	Optional. Off by default — this source needs no proxy.

Output

Every record carries _input (what produced it), _source (which collection strategy answered), _scrapedAt (UTC timestamp) and recordType.

Article (latestPosts, searchPosts, categoryPosts, tagPosts, postDetail)

{
  "_input": "latest",
  "_source": "S1-wp-posts",
  "_scrapedAt": "2026-09-20T17:48:05Z",
  "recordType": "POST",
  "id": "1023947",
  "date_gmt": "2026-09-19T01:39:35",
  "modified_gmt": "2026-09-19T01:39:35",
  "title": "Apple Pay plans India launch with Axis Bank: sources",
  "slug": "apple-pay-plans-india-launch-axis-bank-sources",
  "status": "publish",
  "type": "short",
  "link": "https://www.techinasia.com/news/apple-pay-plans-india-launch-axis-bank-sources",
  "excerpt": "UPI handles 84% of India's digital payment volume.",
  "read_time": 1,
  "author": {
    "id": "1183040",
    "display_name": "Diya Lal",
    "author_url": "https://www.techinasia.com/profile/diya-lal",
    "is_staff": true
  },
  "categories": [{ "id": "48628", "name": "Fintech", "slug": "fintech" }],
  "tags": [{ "id": "39521", "name": "Apple Pay", "slug": "apple-pay" }, "… 3 more"],
  "companies": [],
  "featured_image": {
    "source": "https://cdn.techinasia.com/wp-content/uploads/2026/09/…",
    "attachment_meta": { "width": 2560, "height": 1762 }
  },
  "short_items": { "short_source_name": "Reuters" },
  "is_sponsored": false,
  "is_subscriber_exclusive": false,
  "comments_count": 0
}

Field	Type	Description
title / slug / link	string	Headline, URL slug and canonical URL.
excerpt	string	The publisher's own summary line.
date_gmt / modified_gmt	string	Publication and last-edit timestamps.
type	string	post, short or visual-story.
read_time	integer	Estimated reading minutes.
author	object	Byline: name, profile URL, avatar, staff flag.
categories / tags	array	Taxonomy objects with id, name and slug.
companies	array	Companies the newsroom linked to this article.
featured_image	object	Image URL plus dimensions and derived sizes.
is_sponsored	boolean	True for paid placement; sponsor carries the advertiser.
is_subscriber_exclusive	boolean	True when the article sits behind the subscription.
content	string	Full article HTML. Only when includeArticleContent is on.

Company (companies, companyDetail)

{
  "_input": "filtered-companies",
  "_source": "S2-algolia-companies",
  "_scrapedAt": "2026-09-20T17:48:05Z",
  "recordType": "COMPANY",
  "name": "Floq",
  "entity_slug": "floq",
  "description": "Floq is a licensed digital asset exchange built with ease of use, a community-first approach, and trust at its core.",
  "date_founded": "2025-05-01",
  "employee_count": "51 - 200",
  "avatar": "https://cdn.techinasia.com/data/images/CJ9bhKvQoVOU5zXDGqb6UhduSMA5OMSz5YJYx1w7.jpg",
  "entity_locations": [
    { "city_name": "Jakarta", "country_name": "Indonesia", "type": "hq" }
  ],
  "entity_industries": [
    { "name": "Financial exchanges", "slug": "financial-exchanges", "vertical_name": "Financial tech" }
  ],
  "entity_sites": [
    { "site_name": "Website", "url": "https://floq.co.id" },
    { "site_name": "LinkedIn", "url": "https://id.linkedin.com/company/floq_id" },
    "… 1 more"
  ],
  "funding_stages": [
    {
      "amount": 11300000,
      "rounds": [
        {
          "amount": 11300000,
          "date_ended": "2026-06-04",
          "source_url": "https://www.techinasia.com/news/indonesian-crypto-platform-floq-raises-11-3m",
          "participants": [{ "investor_slug": "md-capital" }, "… 1 more"]
        }
      ]
    }
  ],
  "is_investor": false,
  "number_investments": 0,
  "number_exits": 0,
  "job_posting_count": 0,
  "claimed": 1
}

Field	Type	Description
name / entity_slug	string	Company name and the slug companyDetail expects.
description / pitch	string	Long and short company blurbs.
date_founded	string	Founding date.
employee_count	string	Headcount band.
entity_locations	array	Cities and countries, with HQ flagged.
entity_industries	array	Industry and vertical classification.
entity_sites	array	Website and social profile URLs.
funding_stages	array	Rounds with amounts, dates, source articles and participating investors.
total_amount_raised	number	Lifetime funding in USD (search results).
last_funding_stage	string	Most recent stage reached.
is_investor / number_investments / number_exits	mixed	Investor side of the record.
job_posting_count	integer	Live roles this company has on the board.

Job (jobs)

{
  "_input": "remote-jobs",
  "_source": "S3-laravel-jobs",
  "_scrapedAt": "2026-09-20T17:48:05Z",
  "recordType": "JOB",
  "id": "5f889196-3a89-42d2-a329-ae0a2636f5a4",
  "status": "published",
  "title": "Business Intelligence (Remote)",
  "is_remote": true,
  "work_arrangement": "remote",
  "tz_offset_min": 7,
  "tz_offset_max": 12,
  "is_salary_visible": true,
  "salary_min": 4000000,
  "salary_max": 5000000,
  "period": "MONTHLY",
  "currency": { "currency_code": "IDR", "currency_symbol": "Rp" },
  "has_equity": false,
  "vacancy_count": 3,
  "experience_min": 0,
  "experience_max": 3,
  "published_at": "2026-09-18 10:27:25",
  "expires_at": "2026-11-17 10:27:25",
  "company": {
    "name": "Deliveree On-Demand Logistics (Southeast Asia)",
    "employee_min_count": 201,
    "employee_max_count": 500
  },
  "job_skills": [{ "name": "Recruiting" }, "… 4 more"],
  "job_type": { "name": "Full-time" },
  "position": { "name": "Human Resources" }
}

Field	Type	Description
title	string	Job title.
salary_min / salary_max	number	Pay range — read with period and currency, which vary per posting.
period	string	MONTHLY or YEARLY. The range means nothing without it.
is_salary_visible	boolean	False when the employer hid the range.
is_remote / work_arrangement	mixed	onsite, hybrid or remote.
tz_offset_min / tz_offset_max	number	Timezone band a remote hire must sit in.
has_equity	boolean	Whether equity is offered.
experience_min / experience_max	integer	Years of experience wanted.
company	object	Full hiring-company profile, embedded.
city	object	City, state and country. Null for fully remote roles.
job_skills / job_type / position	array/object	Skills, contract type and job family.
expires_at	string	When the posting comes down.

Trending question (trendingQuestions)

{
  "_input": "trending-questions",
  "_source": "S2-algolia-trending",
  "_scrapedAt": "2026-09-20T17:48:05Z",
  "recordType": "TRENDING_QUESTION",
  "position": 1,
  "previous_position": 2,
  "question_title": "How will NVIDIA and Intel respond to Celestial AI's optical interconnect…",
  "pageviews": 1043,
  "lookback_days": 7,
  "link": "https://www.techinasia.com/…"
}

Error rows

A failed input produces a row rather than disappearing, so nothing is silently lost:

{
  "_input": "grab",
  "_source": "none",
  "_scrapedAt": "2026-09-20T17:48:05Z",
  "recordType": "ERROR",
  "_error": "not_found",
  "_errorDetail": "No company at /companies/grab. The slug must match the database's entity_slug exactly."
}

Notes and limits

• Article list modes return at most 900 records each. That is Tech in Asia's own ceiling, not a limit of this actor — the site stops serving after 30 pages, even though it reports far more available. To go deeper into the archive, use searchPosts, or split the work across several categories and tags.
• Each search query returns at most 1,000 records. Several narrow queries reach much further than one broad one — split by category, country, year or funding stage.
• The company database has no such ceiling. A companies sweep with no filters walks all 120,649 records. Filters, on the other hand, run through search and so bring the 1,000-record limit with them. Sweep unfiltered when you want everything; filter when you want precision.
• Company slugs must match the database exactly. gojek resolves; grab does not. Run companies first to find the right slug.
• Filter values are spelling- and case-exact — Indonesia, Series A, Fintech. Run taxonomies to see valid category names.
• Salary figures are meaningless without period and currency. Postings mix monthly and yearly pay across several currencies.
• is_subscriber_exclusive is the field that tells you whether an article is behind the subscription. A separate is_paywalled field also appears in the data, but it is true on essentially every record and does not discriminate.
• No proxy needed. This source has no regional or access restrictions, so proxy support is off by default. Turn it on only if a very long run starts being rate-limited.
• Article bodies are off by default. Tech in Asia is a subscription publication. includeArticleContent adds the full text when you need it — check your licence before republishing or redistributing article text.