# Tech in Asia Scraper - Articles, Startup Database & Jobs (`fanndev/techinasia-scraper`) Actor

Scrape Tech in Asia's newsroom, its 120,000-company startup and investor database, and its job board from one actor. Article search with category, author and date filters; company lookups by country, funding stage and amount raised; job postings with salaries. No login needed.

- **URL**: https://apify.com/fanndev/techinasia-scraper.md
- **Developed by:** [Faisal Ahdan naufal](https://apify.com/fanndev) (community)
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.30 / 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

## Tech in Asia Scraper

Extract articles, startup and investor profiles, and job postings from [Tech in Asia](https://www.techinasia.com/) — 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

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

#### Find funded startups

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

#### Sweep the whole company database

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

#### Job board

```json
{
  "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`)

```json
{
  "_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`)

```json
{
  "_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`)

```json
{
  "_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`)

```json
{
  "_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:

```json
{
  "_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.

# Actor input Schema

## `mode` (type: `string`):

Pick what you want to collect. Tech in Asia publishes three separate bodies of data - its newsroom, its startup and investor database, and its job board - and each mode reads one of them.

## `maxItems` (type: `integer`):

How many records to collect before stopping. Two ceilings sit above this and belong to Tech in Asia, not to the actor: article list routes stop at 900 records each, and any one search query stops at 1,000. The company database has no such ceiling - all 120,649 records are reachable.

## `includeArticleContent` (type: `boolean`):

Off by default, so records carry metadata plus the publisher's own excerpt. Turn this on to add the article's full HTML body. Tech in Asia is a subscription publication - check your licence before republishing or redistributing article text.

## `searchQueries` (type: `array`):

Used by the searchPosts mode. One query per line. Leave empty to sweep the whole index newest-first. Each query returns up to 1,000 records, so several narrow queries reach further than one broad one.

## `postTypes` (type: `array`):

Optional filter for searchPosts. Known values: post (full articles), short (news briefs), visual-story. Leave empty for all types.

## `filterCategories` (type: `array`):

Optional filter for searchPosts, matched on the category's display name - Fintech, Startups, Analysis, Crypto. Spelling and capitalisation must match exactly. Run the taxonomies mode to see every valid name.

## `filterAuthors` (type: `array`):

Optional filter for searchPosts, matched on the author's display name exactly as it appears on their byline. This is the only way to list one writer's work - Tech in Asia publishes no author endpoint.

## `publishedAfter` (type: `string`):

Optional date floor for searchPosts. YYYY-MM-DD, or a unix timestamp.

## `publishedBefore` (type: `string`):

Optional date ceiling for searchPosts. YYYY-MM-DD, or a unix timestamp.

## `categorySlugs` (type: `array`):

Used by the categoryPosts mode. Slugs such as fintech, startups, analysis, crypto - or paste a full /category/... URL and the slug is taken from it.

## `tagSlugs` (type: `array`):

Used by the tagPosts mode. Slugs such as indonesia, e-commerce, pitch-deck - or paste a full /tag/... URL.

## `postUrls` (type: `array`):

Used by the postDetail mode. Accepts a full article URL, a bare slug, or a numeric post id - all three resolve to the same record.

## `includeCategories` (type: `boolean`):

For the taxonomies mode: emit all 62 categories plus the site's curated topic map.

## `includeTags` (type: `boolean`):

For the taxonomies mode: also emit tags. There are 64,649 of them and the route serves the first 900, so this is a sample rather than the full list.

## `companyQuery` (type: `string`):

For the companies mode: free-text match on company name and description. Leave empty to sweep the whole database instead, which reaches all 120,649 records rather than the 1,000 a search returns.

## `companyCountries` (type: `array`):

For the companies mode. Full country names, spelled as the database does: China, India, Indonesia, Singapore, United States, Japan, Australia, Korea Republic of, Israel, Vietnam, Malaysia, Hong Kong.

## `fundingStages` (type: `array`):

For the companies mode. Valid values: Seed, Series A, Series B, Series C, Series D, Pre-series A, Bridge, Debt, M\&A, Early stage, Strategic investment, Unspecified Stage.

## `companyIndustries` (type: `array`):

For the companies mode. Industry names as the database spells them, for example Venture Capital. Exact matches only.

## `investorsOnly` (type: `boolean`):

For the companies mode: return only entities flagged as investors - 18,246 of the 119,712 indexed.

## `minAmountRaised` (type: `integer`):

For the companies mode: keep only companies whose lifetime total raised is at least this much.

## `companySlugs` (type: `array`):

Used by the companyDetail mode. The slug must match the database's own spelling exactly - gojek resolves, grab does not. Run the companies mode first to find the right slug.

## `jobQuery` (type: `string`):

For the jobs mode: free-text match on job title, company and description. Leave empty to list the whole board.

## `remoteJobsOnly` (type: `boolean`):

For the jobs mode: keep only remote postings. Ignored when a job search text is given.

## `proxyConfiguration` (type: `object`):

Off by default and genuinely optional. Tech in Asia runs no WAF and no IP gate - every surface here answers an unproxied request - so a proxy only adds cost. Turn it on if a very long run starts meeting a rate limiter.

## Actor input object example

```json
{
  "mode": "latestPosts",
  "maxItems": 200,
  "includeArticleContent": false,
  "searchQueries": [
    "fintech indonesia"
  ],
  "postTypes": [
    "post"
  ],
  "filterCategories": [
    "Fintech"
  ],
  "publishedAfter": "2026-01-01",
  "categorySlugs": [
    "fintech"
  ],
  "tagSlugs": [
    "indonesia"
  ],
  "postUrls": [
    "https://www.techinasia.com/news/apple-pay-plans-india-launch-axis-bank-sources"
  ],
  "includeCategories": true,
  "includeTags": false,
  "companyCountries": [
    "Indonesia"
  ],
  "fundingStages": [
    "Series A"
  ],
  "investorsOnly": false,
  "companySlugs": [
    "gojek"
  ],
  "remoteJobsOnly": false,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

# Actor output Schema

## `results` (type: `string`):

Every article, company, job, taxonomy and error record from this run.

# 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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "searchQueries": [
        "fintech indonesia"
    ],
    "postTypes": [
        "post"
    ],
    "filterCategories": [
        "Fintech"
    ],
    "publishedAfter": "2026-01-01",
    "categorySlugs": [
        "fintech"
    ],
    "tagSlugs": [
        "indonesia"
    ],
    "postUrls": [
        "https://www.techinasia.com/news/apple-pay-plans-india-launch-axis-bank-sources"
    ],
    "companyCountries": [
        "Indonesia"
    ],
    "fundingStages": [
        "Series A"
    ],
    "companySlugs": [
        "gojek"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("fanndev/techinasia-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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "searchQueries": ["fintech indonesia"],
    "postTypes": ["post"],
    "filterCategories": ["Fintech"],
    "publishedAfter": "2026-01-01",
    "categorySlugs": ["fintech"],
    "tagSlugs": ["indonesia"],
    "postUrls": ["https://www.techinasia.com/news/apple-pay-plans-india-launch-axis-bank-sources"],
    "companyCountries": ["Indonesia"],
    "fundingStages": ["Series A"],
    "companySlugs": ["gojek"],
}

# Run the Actor and wait for it to finish
run = client.actor("fanndev/techinasia-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 '{
  "searchQueries": [
    "fintech indonesia"
  ],
  "postTypes": [
    "post"
  ],
  "filterCategories": [
    "Fintech"
  ],
  "publishedAfter": "2026-01-01",
  "categorySlugs": [
    "fintech"
  ],
  "tagSlugs": [
    "indonesia"
  ],
  "postUrls": [
    "https://www.techinasia.com/news/apple-pay-plans-india-launch-axis-bank-sources"
  ],
  "companyCountries": [
    "Indonesia"
  ],
  "fundingStages": [
    "Series A"
  ],
  "companySlugs": [
    "gojek"
  ]
}' |
apify call fanndev/techinasia-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,fanndev/techinasia-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 <APIFY_API_TOKEN>` 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/ALQ2AbQ1hogAROctJ/builds/l0xgxiK34vaX0TpyK/openapi.json