# 99.co Property Scraper — Singapore Listings & Agent Leads (`scrapesage/99-co-property-scraper`) Actor
Scrape Singapore property from 99.co — HDB, condos, landed & commercial, for sale or rent. Get prices, PSF, beds, floor area, tenure, MRT distance, geo-coordinates, photos plus the listing agent name, phone & WhatsApp. Monitoring mode returns only new listings. Export to JSON, CSV, Excel.
- **URL**: https://apify.com/scrapesage/99-co-property-scraper.md
- **Developed by:** [Scrape Sage](https://apify.com/scrapesage) (community)
- **Categories:** Real estate, Lead generation, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks
- **User rating**: No ratings yet
## Pricing
$4.00 / 1,000 property listing scrapeds
This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event
## What's an Apify Actor?
Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
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.
Actors are written with capital "A".
## 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.
The best way to integrate Actors is as follows.
In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md):
```bash
npm install apify-client
```
In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md):
```bash
pip install apify-client
```
In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):
````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash
In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).
If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md).
For usage examples, see the [API](#api) section below.
For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).
# README
## 99.co Property Scraper — Singapore Listings, Prices & Agent Leads
Extract **complete Singapore property data** from [99.co](https://www.99.co/singapore) — sale & rent listings across **HDB, condos, apartments, landed houses, executive condominiums, rooms and commercial** units. Get the fields that actually matter: **real asking prices, price-per-sqft, bedrooms/bathrooms, floor & land area, tenure, TOP/built year, exact geo-coordinates, nearest-MRT distance and walk time, photos** — plus the **listing agent's name, phone and WhatsApp**, so every result doubles as a ready-to-contact lead.
No login, no cookies, no browser automation — fast direct-from-API extraction with the richest dataset in the category.
### Why this 99.co scraper?
Most property scrapers return a thin row — price, beds, a URL — and leave the rest empty. This actor pulls 99.co's own internal listings API and ships **every field on the card**, including agent contacts and MRT connectivity:
| Data | Typical scrapers | This actor |
|---|---|---|
| Asking price + price/sqft | ✅ | ✅ |
| Beds, baths, floor area, land area | partial | ✅ all |
| Tenure (freehold / 99-yr) + TOP/built year | ❌ | ✅ |
| Geo-coordinates (lat/lng) | partial | ✅ |
| Nearest MRT — line, walk time, distance | ❌ | ✅ |
| All listing photos | partial | ✅ |
| USP / highlight tags | ❌ | ✅ |
| **Listing agent name** | ❌ | ✅ |
| **Agent phone + WhatsApp** | ❌ | ✅ |
| Premium / corporate agent flags | ❌ | ✅ |
| Monitoring mode (only new listings) | ❌ | ✅ |
### Use cases
- **Real-estate agent lead generation** — every listing carries the agent's name, phone and WhatsApp. Filter by area, price band or property type and build a contact list of active Singapore agents in minutes.
- **Property market & price intelligence** — track asking prices, price-per-sqft and new-launch supply by district, MRT line, HDB town or condo project.
- **Investor & buyer deal-hunting** — monitor just-listed units that match your criteria (e.g. freehold 3-bedders near an MRT under a price cap) and act before the market.
- **Portals, apps & valuation models** — feed structured, geo-tagged listing data with full specs into your own search app, CMA tool or pricing model.
- **Competitor & agency monitoring** — watch which agencies and agents dominate a neighbourhood and how fast their inventory turns over.
### How to use
1. [Sign up for Apify](https://console.apify.com/sign-up) — the free plan is enough to try this actor.
2. Open the **99.co Property Scraper**, paste one or more 99.co search URLs (or use the simple sale/rent + property-type builder), and click **Start**.
3. Watch results stream into the dataset table.
4. **Export** as JSON, CSV, Excel, XML, or RSS — or pull results programmatically via the [Apify API](https://docs.apify.com/api/v2).
#### Tip: any 99.co filter works
Open [99.co](https://www.99.co/singapore), set **any** filters in the UI — location, district, MRT, price range, bedrooms, property type, freehold, floor level, and so on — then copy the URL from your browser and paste it into **searchUrls**. The scraper reproduces that exact search and paginates through every page. No need to learn parameters.
### Input
```json
{
"searchUrls": [
"https://www.99.co/singapore/sale/condos-apartments?price_max=2000000&num_beds=3",
"https://www.99.co/singapore/rent/hdb"
],
"sortBy": "recency",
"maxResults": 500,
"monitoringMode": false,
"includeAgentContacts": true
}
````
- **searchUrls** — one or more 99.co search/listing pages with whatever filters you want. Leave empty to use the simple builder.
- **listingType / propertyType** — the simple search builder (`sale`/`rent` × `hdb`/`condo`/`landed`/`ec`/`room`/`commercial`), used only when no URLs are provided.
- **sortBy** — `relevance` (default), `recency` (newest first — best for monitoring), `price_low`, `price_high`.
- **maxResults** *(default 200)* — listings per search; `0` = no limit (scrapes every available page).
- **monitoringMode** *(default false)* — remember listings from previous runs (per search) and output only the new ones. See below.
- **includeAgentContacts** *(default true)* — include agent name, phone and WhatsApp. Turn off to exclude all agent personal data.
- **proxyConfiguration** *(default Singapore residential)* — required; 99.co is served from Singapore behind Cloudflare. Keep the default.
### Output
One record per listing:
```json
{
"listingId": "iD6zEuiwhqX8AMzsxjgCUs",
"listingUrl": "https://www.99.co/singapore/sale/property/toh-drive-landed-iD6zEuiwhqX8AMzsxjgCUs",
"listingTitle": "5 Bed Bungalow (Landed) for Sale in Toh Estate",
"listingType": "sale",
"propertySegment": "residential",
"mainCategory": "landed",
"subCategory": "Bungalow",
"price": 8700000,
"priceFormatted": "S$ 8,700,000",
"currency": "SGD",
"isNegotiable": true,
"pricePerSqft": 1401,
"bedrooms": "5",
"bathrooms": 5,
"builtUpSqft": 4400,
"landAreaSqft": 6211,
"tenure": "Freehold",
"builtYear": 2013,
"furnishing": null,
"address": "Toh Drive",
"neighbourhood": "Loyang East",
"region": "East Region",
"latitude": 1.3646052524058343,
"longitude": 103.97297793694283,
"nearestMrtName": "Loyang MRT",
"nearestMrtLines": ["CR 3"],
"mrtWalkMinutes": 10,
"mrtDistanceMeters": 737,
"postedAt": "2026-06-12T06:36:09.182Z",
"photoCount": 8,
"coverPhotoUrl": "https://pic2.99.co/v3/bcYm9D96gMdF7wMsM9LNtn?...",
"photoUrls": ["https://pic2.99.co/v3/bcYm9D96gMdF7wMsM9LNtn?...", "..."],
"uspTags": ["Near MRT Station", "Spacious Layout", "Freehold Property"],
"agentName": "Julie Phua",
"agentPhone": "+6591500299",
"agentWhatsapp": "+6591500299",
"agentIsPremium": true,
"agentIsCorporate": false,
"isWhatsappEnquiryAllowed": true,
"searchUrl": "https://www.99.co/singapore/sale",
"scrapedAt": "2026-06-12T12:00:00.000Z"
}
```
### Monitoring — get only new listings
Turn on **monitoringMode** and the actor remembers which listings it has already returned for each search (in a persistent key-value store) and, on the next run, outputs **only listings that are new since last time**.
This is a pure result filter — the actor still runs once and exits, so it works **with**, not against, the Apify scheduler:
1. Set `monitoringMode: true` and `sortBy: recency`.
2. Create an Apify [Schedule](https://docs.apify.com/platform/schedules) (e.g. every hour) for the actor.
3. Add a [webhook](https://docs.apify.com/platform/integrations/webhooks) or [Zapier](https://docs.apify.com/platform/integrations/zapier) step to push each new listing into your CRM, Slack or a spreadsheet.
You now have a live feed of just-listed Singapore properties (and fresh agent leads) with zero duplicates.
### Automate & schedule
Run this actor on autopilot and pull results into your own stack:
- **[Apify API](https://docs.apify.com/api/v2)** — start runs, fetch datasets, and manage schedules over REST.
- **[apify-client for JavaScript](https://docs.apify.com/api/client/js/)** and **[apify-client for Python](https://docs.apify.com/api/client/python/)** — official SDKs.
- **[Schedules](https://docs.apify.com/platform/schedules)** — run it hourly/daily to monitor new listings in a district, MRT zone, or price band.
- **[Webhooks](https://docs.apify.com/platform/integrations/webhooks)** — trigger downstream actions (CRM import, Slack alert, email sequence) the moment a run finishes.
```js
import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: 'MY_APIFY_TOKEN' });
const run = await client.actor('scrapesage/99-co-property-scraper').call({
searchUrls: ['https://www.99.co/singapore/sale/condos-apartments?num_beds=3'],
sortBy: 'recency',
maxResults: 500,
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(`Got ${items.length} listings & agent leads`);
```
### Integrate with any app
Connect the dataset to 5,000+ apps — no code required:
- **[Make](https://docs.apify.com/platform/integrations/make)** — multi-step automation scenarios.
- **[Zapier](https://docs.apify.com/platform/integrations/zapier)** — push new agent leads straight into your CRM.
- **[Slack](https://docs.apify.com/platform/integrations/slack)** — get notified when a monitored search finds new listings.
- **[Google Drive / Sheets](https://docs.apify.com/platform/integrations/drive)** — auto-export every run to a spreadsheet.
- **[Airbyte](https://docs.apify.com/platform/integrations/airbyte)** — pipe results into your data warehouse.
- **[GitHub](https://docs.apify.com/platform/integrations/github)** — trigger runs from commits or releases.
### Use with AI assistants (MCP)
The output is clean, LLM-ready JSON. You can call this actor from Claude, ChatGPT, or any agent framework through the **[Apify MCP server](https://docs.apify.com/platform/integrations/mcp)** — ask your assistant to "find 3-bedroom condos for sale near an MRT under S$2M on 99.co and list the agents" and let it run this scraper for you.
### More scrapers from scrapesage
Build a complete Singapore + lead-gen data stack:
- **[SGCarMart Used Car Scraper](https://apify.com/scrapesage/sgcarmart-used-car-scraper)** — Singapore used-car prices, COE/OMV/ARF and dealer leads.
- **[Airbnb Scraper & Market Monitor](https://apify.com/scrapesage/airbnb-scraper)** — short-stay listings, prices and availability.
- **[Eventbrite Scraper](https://apify.com/scrapesage/eventbrite-scraper)** — events + organizer leads with contact data.
- **[LinkedIn Jobs Scraper](https://apify.com/scrapesage/linkedin-jobs-scraper)** — job postings as hiring-intent signals.
- **[Facebook Ad Library Scraper](https://apify.com/scrapesage/facebook-ad-library-scraper)** — competitor ad intelligence.
- **[Google Ads Transparency Scraper](https://apify.com/scrapesage/google-ads-transparency-scraper)** — who's advertising what on Google.
- **[Telegram Scraper](https://apify.com/scrapesage/telegram-scraper)** — channels, messages, media and search.
### Tips
- **Exhaust a big search**: 99.co caps very deep pagination. To pull a large segment fully, split it into narrower searches (by district, price band, or property type) — each paginates independently.
- **Cheapest, freshest leads**: combine `sortBy: recency` + `monitoringMode` + an hourly [Schedule](https://docs.apify.com/platform/schedules) so each run scrapes only the handful of brand-new listings.
- **Keep the Singapore residential proxy**: 99.co is geo-served and Cloudflare-protected; datacenter or non-SG IPs get blocked.
- **Map view**: every record has `latitude`/`longitude` — drop the dataset straight onto a map or into a geospatial tool.
### FAQ
**Which property types does it cover?** Everything on 99.co Singapore — HDB resale, condos & apartments, landed houses, executive condominiums (EC), rooms, and commercial — for both sale and rent.
**Do I need to learn URL parameters?** No. Apply filters on 99.co normally and paste the resulting URL. The scraper mirrors that exact search, including every filter you set.
**Where do the agent phone numbers come from?** They are the contact numbers each agent publishes on their own 99.co listing — the same details a buyer sees on the page. Set `includeAgentContacts: false` to exclude them.
**How do I get only new listings?** Turn on `monitoringMode` and sort by `recency`, then schedule the actor. Each run outputs only listings not seen on previous runs — no duplicates.
**Can I export to Google Sheets, CSV, or Excel?** Yes — one click in the dataset view, or automatically on every run via the [Google Drive integration](https://docs.apify.com/platform/integrations/drive).
**Is scraping 99.co legal?** This actor collects publicly available data only. You are responsible for using the data in compliance with applicable laws (e.g. Singapore's PDPA for personal data) and 99.co's terms.
**A field is null — why?** Some listings genuinely omit a value (e.g. no floor area for a landed home, or an agent who hides furnishing). Fields are `null` only when the data isn't published, never because the scraper skipped them.
### Need help?
Open an issue on the actor's **Issues** tab, or visit the [Apify help center](https://help.apify.com/). Feature requests are welcome — this actor is actively maintained.
# Actor input Schema
## `searchUrls` (type: `array`):
One or more 99.co search/listing pages. Open 99.co, apply any filters you like (location, district, MRT, price, bedrooms, property type, freehold, etc.), then paste the resulting URL here — the scraper reproduces that exact search and paginates through every page. Examples: https://www.99.co/singapore/sale, https://www.99.co/singapore/rent/hdb, https://www.99.co/singapore/sale/condos-apartments?price\_max=2000000\&num\_beds=3. Leave empty to use the simple search builder below.
## `listingType` (type: `string`):
Used only when no search URLs are provided above. Build a basic island-wide search.
## `propertyType` (type: `string`):
Used only when no search URLs are provided above.
## `sortBy` (type: `string`):
How 99.co orders the results. Choose Newest first for monitoring runs so the freshest listings come first.
## `maxResults` (type: `integer`):
Maximum number of listings to scrape per search URL. Set 0 for no limit (scrapes every available page — can be tens of thousands of listings). 99.co caps deep pagination, so very large searches stop when no more pages are returned.
## `monitoringMode` (type: `boolean`):
Remember which listings were returned on previous runs (per search) and output only listings that are new since the last run. Combine with Apify Schedules and Newest first sorting to get a clean feed of just-listed properties. This is purely a result filter — it does not keep the Actor running, so it never conflicts with the Apify scheduler.
## `includeAgentContacts` (type: `boolean`):
Include the listing agent's name, phone and WhatsApp number (as publicly shown on each 99.co listing) so results double as ready-to-contact agent leads. Turn off to exclude all agent personal data.
## `maxConcurrency` (type: `integer`):
Maximum number of pages fetched in parallel.
## `proxyConfiguration` (type: `object`):
99.co is served from Singapore and protected by Cloudflare, so a Singapore residential proxy is required for reliable results. The default below is recommended; do not disable it.
## Actor input object example
```json
{
"searchUrls": [
"https://www.99.co/singapore/sale"
],
"listingType": "sale",
"propertyType": "any",
"sortBy": "relevance",
"maxResults": 200,
"monitoringMode": false,
"includeAgentContacts": true,
"maxConcurrency": 5,
"proxyConfiguration": {
"useApifyProxy": true,
"apifyProxyGroups": [
"RESIDENTIAL"
],
"apifyProxyCountry": "SG"
}
}
```
# Actor output Schema
## `results` (type: `string`):
All scraped listings in the default dataset. Each row is one 99.co listing with prices, specs, geo-coordinates, nearest MRT and the listing agent's contact details.
# 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 '' with your token
const client = new ApifyClient({
token: '',
});
// Prepare Actor input
const input = {
"searchUrls": [
"https://www.99.co/singapore/sale"
]
};
// Run the Actor and wait for it to finish
const run = await client.actor("scrapesage/99-co-property-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 '' with your token.
client = ApifyClient("")
# Prepare the Actor input
run_input = { "searchUrls": ["https://www.99.co/singapore/sale"] }
# Run the Actor and wait for it to finish
run = client.actor("scrapesage/99-co-property-scraper").call(run_input=run_input)
# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)
# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start
```
## CLI example
```bash
echo '{
"searchUrls": [
"https://www.99.co/singapore/sale"
]
}' |
apify call scrapesage/99-co-property-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=scrapesage/99-co-property-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "99.co Property Scraper — Singapore Listings & Agent Leads",
"description": "Scrape Singapore property from 99.co — HDB, condos, landed & commercial, for sale or rent. Get prices, PSF, beds, floor area, tenure, MRT distance, geo-coordinates, photos plus the listing agent name, phone & WhatsApp. Monitoring mode returns only new listings. Export to JSON, CSV, Excel.",
"version": "1.0",
"x-build-id": "y5DKiAugUxRq6KYAb"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/scrapesage~99-co-property-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-scrapesage-99-co-property-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": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/scrapesage~99-co-property-scraper/runs": {
"post": {
"operationId": "runs-sync-scrapesage-99-co-property-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/scrapesage~99-co-property-scraper/run-sync": {
"post": {
"operationId": "run-sync-scrapesage-99-co-property-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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",
"properties": {
"searchUrls": {
"title": "99.co search URLs",
"type": "array",
"description": "One or more 99.co search/listing pages. Open 99.co, apply any filters you like (location, district, MRT, price, bedrooms, property type, freehold, etc.), then paste the resulting URL here — the scraper reproduces that exact search and paginates through every page. Examples: https://www.99.co/singapore/sale, https://www.99.co/singapore/rent/hdb, https://www.99.co/singapore/sale/condos-apartments?price_max=2000000&num_beds=3. Leave empty to use the simple search builder below.",
"items": {
"type": "string"
}
},
"listingType": {
"title": "Sale or rent (search builder)",
"enum": [
"sale",
"rent"
],
"type": "string",
"description": "Used only when no search URLs are provided above. Build a basic island-wide search.",
"default": "sale"
},
"propertyType": {
"title": "Property type (search builder)",
"enum": [
"any",
"hdb",
"condo",
"landed",
"ec",
"room",
"commercial"
],
"type": "string",
"description": "Used only when no search URLs are provided above.",
"default": "any"
},
"sortBy": {
"title": "Sort results by",
"enum": [
"relevance",
"recency",
"price_low",
"price_high"
],
"type": "string",
"description": "How 99.co orders the results. Choose Newest first for monitoring runs so the freshest listings come first.",
"default": "relevance"
},
"maxResults": {
"title": "Max results per search",
"minimum": 0,
"type": "integer",
"description": "Maximum number of listings to scrape per search URL. Set 0 for no limit (scrapes every available page — can be tens of thousands of listings). 99.co caps deep pagination, so very large searches stop when no more pages are returned.",
"default": 200
},
"monitoringMode": {
"title": "Monitoring mode — only new listings",
"type": "boolean",
"description": "Remember which listings were returned on previous runs (per search) and output only listings that are new since the last run. Combine with Apify Schedules and Newest first sorting to get a clean feed of just-listed properties. This is purely a result filter — it does not keep the Actor running, so it never conflicts with the Apify scheduler.",
"default": false
},
"includeAgentContacts": {
"title": "Include agent contact details",
"type": "boolean",
"description": "Include the listing agent's name, phone and WhatsApp number (as publicly shown on each 99.co listing) so results double as ready-to-contact agent leads. Turn off to exclude all agent personal data.",
"default": true
},
"maxConcurrency": {
"title": "Max concurrency",
"minimum": 1,
"maximum": 20,
"type": "integer",
"description": "Maximum number of pages fetched in parallel.",
"default": 5
},
"proxyConfiguration": {
"title": "Proxy configuration",
"type": "object",
"description": "99.co is served from Singapore and protected by Cloudflare, so a Singapore residential proxy is required for reliable results. The default below is recommended; do not disable it.",
"default": {
"useApifyProxy": true,
"apifyProxyGroups": [
"RESIDENTIAL"
],
"apifyProxyCountry": "SG"
}
}
}
},
"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
}
}
},
"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
}
}
}
}
}
}
}
}
}
}
```