Tech in Asia Scraper - Articles, Startup Database & Jobs
Pricing
from $1.30 / 1,000 results
Scrape Tech in Asia's newsroom, its 120,000-company startup and investor database, and its job board from one actor. Article search with category, author and date filters; company lookups by country, funding stage and amount raised; job postings with salaries. No login needed.
You can access the Tech in Asia Scraper - Articles, Startup Database & Jobs programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in API & Integrations in Apify Console.
{ "openapi": "3.0.1", "info": { "version": "0.0", "x-build-id": "l0xgxiK34vaX0TpyK" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/fanndev~techinasia-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-fanndev-techinasia-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/fanndev~techinasia-scraper/runs": { "post": { "operationId": "runs-sync-fanndev-techinasia-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/fanndev~techinasia-scraper/run-sync": { "post": { "operationId": "run-sync-fanndev-techinasia-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "required": [ "mode" ], "properties": { "mode": { "title": "What to scrape", "enum": [ "latestPosts", "searchPosts", "categoryPosts", "tagPosts", "videoPosts", "postDetail", "taxonomies", "trendingQuestions", "companies", "companyDetail", "jobs" ], "type": "string", "description": "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.", "default": "latestPosts" }, "maxItems": { "title": "Maximum records", "minimum": 1, "maximum": 100000, "type": "integer", "description": "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.", "default": 200 }, "includeArticleContent": { "title": "Include the full article body", "type": "boolean", "description": "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.", "default": false }, "searchQueries": { "title": "Search queries", "type": "array", "description": "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.", "items": { "type": "string" } }, "postTypes": { "title": "Article types", "type": "array", "description": "Optional filter for searchPosts. Known values: post (full articles), short (news briefs), visual-story. Leave empty for all types.", "items": { "type": "string" } }, "filterCategories": { "title": "Filter by category name", "type": "array", "description": "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.", "items": { "type": "string" } }, "filterAuthors": { "title": "Filter by author name", "type": "array", "description": "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.", "items": { "type": "string" } }, "publishedAfter": { "title": "Published after", "type": "string", "description": "Optional date floor for searchPosts. YYYY-MM-DD, or a unix timestamp." }, "publishedBefore": { "title": "Published before", "type": "string", "description": "Optional date ceiling for searchPosts. YYYY-MM-DD, or a unix timestamp." }, "categorySlugs": { "title": "Category slugs", "type": "array", "description": "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.", "items": { "type": "string" } }, "tagSlugs": { "title": "Tag slugs", "type": "array", "description": "Used by the tagPosts mode. Slugs such as indonesia, e-commerce, pitch-deck - or paste a full /tag/... URL.", "items": { "type": "string" } }, "postUrls": { "title": "Article URLs, slugs or ids", "type": "array", "description": "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.", "items": { "type": "string" } }, "includeCategories": { "title": "Include categories and topics", "type": "boolean", "description": "For the taxonomies mode: emit all 62 categories plus the site's curated topic map.", "default": true }, "includeTags": { "title": "Include tags", "type": "boolean", "description": "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.", "default": false }, "companyQuery": { "title": "Company search text", "type": "string", "description": "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": { "title": "Company countries", "type": "array", "description": "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.", "items": { "type": "string" } }, "fundingStages": { "title": "Latest funding stage", "type": "array", "description": "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.", "items": { "type": "string" } }, "companyIndustries": { "title": "Company industries", "type": "array", "description": "For the companies mode. Industry names as the database spells them, for example Venture Capital. Exact matches only.", "items": { "type": "string" } }, "investorsOnly": { "title": "Investors only", "type": "boolean", "description": "For the companies mode: return only entities flagged as investors - 18,246 of the 119,712 indexed.", "default": false }, "minAmountRaised": { "title": "Minimum total raised (USD)", "minimum": 0, "type": "integer", "description": "For the companies mode: keep only companies whose lifetime total raised is at least this much." }, "companySlugs": { "title": "Company slugs", "type": "array", "description": "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.", "items": { "type": "string" } }, "jobQuery": { "title": "Job search text", "type": "string", "description": "For the jobs mode: free-text match on job title, company and description. Leave empty to list the whole board." }, "remoteJobsOnly": { "title": "Remote jobs only", "type": "boolean", "description": "For the jobs mode: keep only remote postings. Ignored when a job search text is given.", "default": false }, "proxyConfiguration": { "title": "Proxy", "type": "object", "description": "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.", "default": { "useApifyProxy": false } } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 }, "PROXY_UNBLOCKER_UNITS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 }, "PROXY_UNBLOCKER_UNITS": { "type": "integer", "example": 0 } } } } } } } } }}OpenAPI is a standard for designing and describing RESTful APIs, allowing developers to define API structure, endpoints, and data formats in a machine-readable way. It simplifies API development, integration, and documentation.
OpenAPI is effective when used with AI agents and GPTs by standardizing how these systems interact with various APIs, for reliable integrations and efficient communication.
By defining machine-readable API specifications, OpenAPI allows AI models like GPTs to understand and use varied data sources, improving accuracy. This accelerates development, reduces errors, and provides context-aware responses, making OpenAPI a core component for AI applications.
You can download the OpenAPI definitions for Tech in Asia Scraper - Articles, Startup Database & Jobs from the options below:
If you’d like to learn more about how OpenAPI powers GPTs, read our blog post.
You can also check out our other API clients: