# ITJobs.pt Jobs Scraper (`blackfalcondata/itjobs-scraper`) Actor
Scrape ITJobs.pt — Portugal's leading tech job board for developers, analysts, and architects. Returns job titles, salaries, and company contacts with work model filtering and incremental tracking.
- **URL**: https://apify.com/blackfalcondata/itjobs-scraper.md
- **Developed by:** [Black Falcon Data](https://apify.com/blackfalcondata) (community)
- **Categories:** Jobs, Lead generation, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks
- **User rating**: No ratings yet
## Pricing
from $1.50 / 1,000 job listings
This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.
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
### What does ITJobs.pt Jobs Scraper do?
ITJobs.pt Jobs Scraper extracts structured job data from [itjobs.pt](https://itjobs.pt) — including salary data, contact details, company metadata, and full descriptions. It supports keyword search, location filters, and controllable result limits, so you can run the same query consistently over time.
### Key features
- **Incremental mode** — recurring runs emit and charge only for listings that are new or whose tracked content changed. First run builds the baseline state; subsequent runs emit only new or changed records.
- **Compact mode** — AI-agent and MCP-friendly payloads with core fields only.
### What data can you extract from itjobs.pt?
Each result includes Core listing fields (`jobId`, `jobKey`, `jobRef`, `title`, `location`, `workModel`, `employmentType`, and `contractType`, and more), detail fields when enrichment is enabled (`description`, `descriptionText`, `descriptionHtml`, `descriptionMarkdown`, and `detailFetched`), contact and apply information (`email` and `phone`), and company metadata (`company`, `companyLogo`, `companyUrl`, and `companyLinkedin`). In standard mode, all fields are always present — unavailable data points are returned as `null`, never omitted. In compact mode, only core fields are returned.
### Input
The main inputs are a search keyword, an optional location filter, and a result limit. Additional filters and options are available in the input schema.
Key parameters:
- **`query`** — Keywords to search for (e.g. "python", "react senior"). Leave empty to browse all active listings.
- **`location`** — City or region to filter by (e.g. "Lisboa", "Porto").
- **`workModel`** — Filter results by work arrangement.
- **`contractType`** — Filter by contract type (e.g. "Permanent", "Freelancer/Independent").
- **`daysOld`** — Only return listings published within the last N days. 0 = no filter. (default: `0`)
- **`maxResults`** — Maximum number of results to return. 0 = unlimited. (default: `100`)
- **`descriptionMaxLength`** — Truncate job description to N characters. 0 = no truncation. (default: `0`)
- **`compact`** — Return core fields only — ideal for AI-agent and MCP workflows. (default: `false`)
- **`incrementalMode`** — Only emit jobs that are new or changed since the last run. Requires stateKey. (default: `false`)
- **`stateKey`** — Stable identifier for the tracked job universe. Required when incrementalMode is true.
- **`emitUnchanged`** — Also emit jobs that have not changed since the last run (incrementalMode only). (default: `false`)
- **`emitExpired`** — Also emit jobs that disappeared since the last run (incrementalMode only). (default: `false`)
- ...and 1 more parameters
### Input examples
**Basic search** — Keyword-driven search with a result cap.
→ Full payload per result — all standard fields populated where the source provides them.
```json
{
"query": "software engineer",
"maxResults": 50
}
````
**Filtered search** — Narrow results with advanced filters — only matching jobs are returned.
→ Same field set as basic search; fewer, more relevant rows.
```json
{
"query": "software engineer",
"contractType": "Permanent",
"workModel": "On-site",
"maxResults": 100
}
```
**Incremental tracking** — Only emit jobs that changed since the previous run with this `stateKey`.
→ First run builds the baseline state. Subsequent runs emit only records that are new or whose tracked content changed. Set `emitUnchanged: true` to include unchanged records as well.
```json
{
"query": "software engineer",
"maxResults": 200,
"incrementalMode": true,
"stateKey": "software-engineer-tracker"
}
```
**Compact filtered output** — Combine filters with compact mode for a lightweight AI-agent or MCP data source.
→ Core fields only — ideal for piping into LLMs or downstream tools without token overhead.
```json
{
"query": "software engineer",
"contractType": "Permanent",
"workModel": "On-site",
"maxResults": 50,
"compact": true
}
```
### Output
Each run produces a dataset of structured job records. Results can be downloaded as JSON, CSV, or Excel from the Dataset tab in Apify Console.
### Example job record
```json
{
"jobId": "3675f8c69fcd5f89ab8ecd533b4503ad3607fc87c75ec0175e78abca167f7b2b",
"jobKey": "512432",
"jobRef": null,
"title": ".NET Developer",
"company": "Devoteam",
"companyLogo": "https://static.itjobs.pt/images/companies/dc/09c/1479/logo.png",
"companyUrl": "https://pt.devoteam.com",
"companyLinkedin": "https://www.linkedin.com/company/devoteam/",
"location": "Porto",
"workModel": "Hybrid",
"employmentType": "Full-time",
"contractType": null,
"description": "About Devoteam At Devoteam, we believe that technology with strong human values can actively drive change for the better. Discover how Tech for People unlocks the future, creating a positive impact on...",
"descriptionText": "About Devoteam At Devoteam, we believe that technology with strong human values can actively drive change for the better. Discover how Tech for People unlocks the future, creating a positive impact on...",
"descriptionHtml": "About Devoteam
At Devoteam, we believe that technology with strong human values can actively drive change for the better. Discover how Tech for People unlocks the future, cre...",
"descriptionMarkdown": "**About Devoteam**\n\nAt Devoteam, we believe that technology with strong human values can actively drive change for the better. Discover how Tech for People unlocks the future, creating a positive impa...",
"salaryText": null,
"salaryRange": null,
"salaryMin": null,
"salaryMax": null,
"salaryCurrency": null,
"salaryType": null,
"email": "pt.careers@devoteam.com",
"phone": null,
"postedAt": "2026-04-22 13:44:09"
}
```
### Incremental fields
When `incremental: true`, each record also carries:
- `changeType` — one of `NEW`, `UPDATED`, `UNCHANGED`, `REAPPEARED`, `EXPIRED`. Default output covers `NEW` / `UPDATED` / `REAPPEARED`; set `emitUnchanged: true` or `emitExpired: true` to opt into the others.
- `firstSeenAt`, `lastSeenAt` — ISO-8601 timestamps tracking the listing across runs.
- `isRepost`, `repostOfId`, `repostDetectedAt` — populated when a new listing matches the tracked content of a previously expired one. Set `skipReposts: true` to drop detected reposts from the output.
### How to scrape itjobs.pt
1. Go to [ITJobs.pt Jobs Scraper](https://apify.com/blackfalcondata/itjobs-scraper?fpr=1h3gvi) in Apify Console.
2. Enter a search keyword and optional location filter.
3. Set `maxResults` to control how many results you need.
4. Click **Start** and wait for the run to finish.
5. Export the dataset as JSON, CSV, or Excel.
### Use cases
- Extract job data from itjobs.pt for market research and competitive analysis.
- Track salary trends across regions and categories over time.
- Monitor new and changed listings on scheduled runs without processing the full dataset every time.
- Build outreach lists using contact details and apply URLs from listings.
- Research company hiring patterns, employer profiles, and industry distribution.
- Feed structured data into AI agents, MCP tools, and automated pipelines using compact mode.
- Export clean, structured data to dashboards, spreadsheets, or data warehouses.
### How much does it cost to scrape itjobs.pt?
ITJobs.pt Jobs Scraper uses [pay-per-event](https://docs.apify.com/platform/actors/paid-actors/pay-per-event) pricing. You pay a small fee when the run starts and then for each result that is actually produced.
- **Run start:** $0.001 per run
- **Per result:** $0.0015 per job record
Example costs:
- 10 results: **$0.02**
- 100 results: **$0.15**
- 500 results: **$0.75**
#### Example: recurring monitoring savings
These examples compare full re-scrapes with incremental runs at different churn rates. Churn is the share of listings that are new or whose tracked content changed since the previous run. Actual churn depends on your query breadth, source activity, and polling frequency — the scenarios below are examples, not predictions.
Example setup: 250 results per run, daily polling (30 runs/month). Event-pricing examples scale linearly with result count.
| Churn rate | Full re-scrape run cost | Incremental run cost | Savings vs full re-scrape | Monthly cost after baseline |
|---|---:|---:|---:|---:|
| 5% — stable niche query | $0.38 | $0.02 | $0.36 (95%) | $0.59 |
| 15% — moderate broad query | $0.38 | $0.06 | $0.32 (85%) | $1.72 |
| 30% — high-volume aggregator | $0.38 | $0.11 | $0.26 (70%) | $3.41 |
Full re-scrape monthly cost at daily polling: $11.28. First month with incremental costs $0.95 / $2.04 / $3.67 for the 5% / 15% / 30% scenarios because the first run builds baseline state at full cost before incremental savings apply.
Platform usage (compute and proxies) is billed separately by Apify based on actual consumption. Incremental runs consume less on result processing, though fixed per-run overhead stays the same.
### FAQ
#### How many results can I get from itjobs.pt?
The number of results depends on the search query and available listings on itjobs.pt. Use the `maxResults` parameter to control how many results are returned per run.
#### Does ITJobs.pt Jobs Scraper support recurring monitoring?
Yes. Enable incremental mode to only receive new or changed listings on subsequent runs. This is ideal for scheduled monitoring where you want to track changes over time without re-processing the full dataset.
#### Can I integrate ITJobs.pt Jobs Scraper with other apps?
Yes. ITJobs.pt Jobs Scraper works with Apify's [integrations](https://apify.com/integrations?fpr=1h3gvi) to connect with tools like Zapier, Make, Google Sheets, Slack, and more. You can also use webhooks to trigger actions when a run completes.
#### Can I use ITJobs.pt Jobs Scraper with the Apify API?
Yes. You can start runs, manage inputs, and retrieve results programmatically through the [Apify API](https://docs.apify.com/api/v2). Client libraries are available for JavaScript, Python, and other languages.
#### Can I use ITJobs.pt Jobs Scraper through an MCP Server?
Yes. Apify provides an [MCP Server](https://apify.com/apify/actors-mcp-server?fpr=1h3gvi) that lets AI assistants and agents call this actor directly. Use compact mode and `descriptionMaxLength` to keep payloads manageable for LLM context windows.
#### Is it legal to scrape itjobs.pt?
This actor extracts publicly available data from itjobs.pt. Web scraping of public information is generally considered legal, but you should always review the target site's terms of service and ensure your use case complies with applicable laws and regulations, including GDPR where relevant.
#### Your feedback
If you have questions, need a feature, or found a bug, please [open an issue](https://apify.com/blackfalcondata/itjobs-scraper/issues?fpr=1h3gvi) on the actor's page in Apify Console. Your feedback helps us improve.
### You might also like
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- [Bayt.com Scraper - Jobs from the Middle East](https://apify.com/blackfalcondata/bayt-scraper?fpr=1h3gvi) — Scrape bayt.com - the leading Middle East job board. Salary data, experience requirements.
- [Bilbasen Scraper - Denmark’s Car Marketplace](https://apify.com/blackfalcondata/bilbasen-scraper?fpr=1h3gvi) — Scrape bilbasen.dk - Denmark’s largest car marketplace. Full vehicle specifications, seller.
### Getting started with Apify
New to Apify? [Create a free account with $5 credit](https://console.apify.com/sign-up?fpr=1h3gvi) — no credit card required.
1. Sign up — $5 platform credit included
2. Open this actor and configure your input
3. Click **Start** — export results as JSON, CSV, or Excel
Need more later? [See Apify pricing](https://apify.com/pricing?fpr=1h3gvi).
# Actor input Schema
## `query` (type: `string`):
Keywords to search for (e.g. "python", "react senior"). Leave empty to browse all active listings.
## `location` (type: `string`):
City or region to filter by (e.g. "Lisboa", "Porto").
## `workModel` (type: `string`):
Filter results by work arrangement.
## `contractType` (type: `string`):
Filter by contract type (e.g. "Permanent", "Freelancer/Independent").
## `daysOld` (type: `integer`):
Only return listings published within the last N days. 0 = no filter.
## `maxResults` (type: `integer`):
Maximum number of results to return. 0 = unlimited.
## `descriptionMaxLength` (type: `integer`):
Truncate job description to N characters. 0 = no truncation.
## `compact` (type: `boolean`):
Return core fields only — ideal for AI-agent and MCP workflows.
## `incrementalMode` (type: `boolean`):
Only emit jobs that are new or changed since the last run. Requires stateKey.
## `stateKey` (type: `string`):
Stable identifier for the tracked job universe. Required when incrementalMode is true.
## `emitUnchanged` (type: `boolean`):
Also emit jobs that have not changed since the last run (incrementalMode only).
## `emitExpired` (type: `boolean`):
Also emit jobs that disappeared since the last run (incrementalMode only).
## `skipReposts` (type: `boolean`):
Skip jobs whose content matches an expired listing from a prior run.
## Actor input object example
```json
{
"query": "software engineer",
"daysOld": 0,
"maxResults": 10,
"descriptionMaxLength": 0,
"compact": false,
"incrementalMode": false,
"emitUnchanged": false,
"emitExpired": false,
"skipReposts": false
}
```
# Actor output Schema
## `results` (type: `string`):
Structured IT job listings from itjobs.pt
# 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 = {
"query": "software engineer",
"maxResults": 10
};
// Run the Actor and wait for it to finish
const run = await client.actor("blackfalcondata/itjobs-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 = {
"query": "software engineer",
"maxResults": 10,
}
# Run the Actor and wait for it to finish
run = client.actor("blackfalcondata/itjobs-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 '{
"query": "software engineer",
"maxResults": 10
}' |
apify call blackfalcondata/itjobs-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=blackfalcondata/itjobs-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "ITJobs.pt Jobs Scraper",
"description": "Scrape ITJobs.pt — Portugal's leading tech job board for developers, analysts, and architects. Returns job titles, salaries, and company contacts with work model filtering and incremental tracking.",
"version": "0.1",
"x-build-id": "VUoIH3caTPtspAyNk"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/blackfalcondata~itjobs-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-blackfalcondata-itjobs-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": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/blackfalcondata~itjobs-scraper/runs": {
"post": {
"operationId": "runs-sync-blackfalcondata-itjobs-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/blackfalcondata~itjobs-scraper/run-sync": {
"post": {
"operationId": "run-sync-blackfalcondata-itjobs-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": {
"query": {
"title": "Search Query",
"type": "string",
"description": "Keywords to search for (e.g. \"python\", \"react senior\"). Leave empty to browse all active listings."
},
"location": {
"title": "Location",
"type": "string",
"description": "City or region to filter by (e.g. \"Lisboa\", \"Porto\")."
},
"workModel": {
"title": "Work Model",
"enum": [
"On-site",
"Remote",
"Hybrid"
],
"type": "string",
"description": "Filter results by work arrangement."
},
"contractType": {
"title": "Contract Type",
"type": "string",
"description": "Filter by contract type (e.g. \"Permanent\", \"Freelancer/Independent\")."
},
"daysOld": {
"title": "Days Old",
"minimum": 0,
"type": "integer",
"description": "Only return listings published within the last N days. 0 = no filter.",
"default": 0
},
"maxResults": {
"title": "Max Results",
"minimum": 0,
"type": "integer",
"description": "Maximum number of results to return. 0 = unlimited.",
"default": 100
},
"descriptionMaxLength": {
"title": "Description Max Length",
"minimum": 0,
"type": "integer",
"description": "Truncate job description to N characters. 0 = no truncation.",
"default": 0
},
"compact": {
"title": "Compact Output",
"type": "boolean",
"description": "Return core fields only — ideal for AI-agent and MCP workflows.",
"default": false
},
"incrementalMode": {
"title": "Incremental Mode",
"type": "boolean",
"description": "Only emit jobs that are new or changed since the last run. Requires stateKey.",
"default": false
},
"stateKey": {
"title": "State Key",
"type": "string",
"description": "Stable identifier for the tracked job universe. Required when incrementalMode is true."
},
"emitUnchanged": {
"title": "Emit Unchanged",
"type": "boolean",
"description": "Also emit jobs that have not changed since the last run (incrementalMode only).",
"default": false
},
"emitExpired": {
"title": "Emit Expired",
"type": "boolean",
"description": "Also emit jobs that disappeared since the last run (incrementalMode only).",
"default": false
},
"skipReposts": {
"title": "Skip Reposts",
"type": "boolean",
"description": "Skip jobs whose content matches an expired listing from a prior run.",
"default": 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
}
}
},
"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
}
}
}
}
}
}
}
}
}
}
```