# Jobberman Scraper - Nigeria Job Listings (`blackfalcondata/jobberman-scraper`) Actor
Scrape jobberman.com - Nigeriaโs leading job board. Salary metadata, experience filters, and incremental change monitoring for new and updated listings. Compact output for AI agents and MCP workflows.
- **URL**: https://apify.com/blackfalcondata/jobberman-scraper.md
- **Developed by:** [Black Falcon Data](https://apify.com/blackfalcondata) (community)
- **Categories:** Jobs, Lead generation, Automation
- **Stats:** 14 total users, 5 monthly users, 90.2% runs succeeded, 1 bookmarks
- **User rating**: No ratings yet
## Pricing
from $1.00 / 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.
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 Jobberman Scraper do?
Jobberman Scraper extracts structured job data from [jobberman.com](https://jobberman.com) โ including salary data, apply URLs, 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. The actor also offers detail enrichment (full descriptions and company profiles) where the source provides them.
### How to use this actor
- ๐ **Register for a free Apify account** โ no credit card required.
- ๐ Just click **[Sign up free on Apify โ](https://console.apify.com/sign-up?fpr=1h3gvi&fp_sid=ctarich)** and complete a quick signup.
- ๐ฐ A free Apify account includes $5 in monthly credits โ enough to test this actor.
- โณ Scrape during the free trial, with no commitment or upfront payment required.
### Key features
- **โป๏ธ Incremental mode** โ recurring runs emit only NEW / UPDATED / REAPPEARED records โ UNCHANGED and EXPIRED are opt-in. First run builds the baseline; subsequent runs emit and charge only for the diff. Pair with notifications for daily "new jobs" alerts to your hiring team. Saves 80โ95% on daily monitoring.
- **๐ Notifications** โ Telegram, Slack, Discord, WhatsApp Cloud API, generic webhook โ out of the box. Pair with incremental + `notifyOnlyChanges` for daily "new Jobberman jobs" pings to your hiring channel.
- **๐ Paste-mode** โ paste any jobberman.com URL straight from your browser โ single-job pages, search-results URLs, or category SEO URLs. Build the search you want in the UI, copy the URL, paste it here.
- **๐ Detail enrichment** โ two-stage mode: list, then enrich each job with the full description + detail-page fields (apply counts, education, etc.). One toggle, no extra orchestration.
- **๐ฆ Compact mode** โ AI-agent and MCP-friendly compact payloads with core fields only โ pipe straight into your ATS, salary-benchmarking tool, or LLM context without parsing extras.
- **๐ Description format selection** โ pick a single description representation โ `text`, `html`, or `markdown` โ and the unused variants are dropped from each record. Halves payload size when your pipeline only consumes one format.
- **๐ค Export anywhere** โ Download the dataset as JSON, CSV, or Excel from the Apify Console, or stream live via the Apify API and integrations (Make, Zapier, Google Sheets, n8n, โฆ).
- **๐ง Email + phone extraction** โ every record carries `extractedEmails[]` and `extractedPhones[]` regex-pulled from the description โ direct-outreach lists with no extra processing step.
- **๐ URL + social-profile extraction** โ every record carries `extractedUrls[]` and structured `socialProfiles { linkedin, twitter, github, โฆ }` parsed from the description โ useful when employers drop their careers page or recruiter LinkedIn in-line.
- **๐ฐ Structured salary** โ salary parsed into structured `salaryMin` / `salaryMax` / `salaryCurrency` / period โ no string parsing on your side. Includes `salaryHidden` flag when the source filtered against a bracket but the listing itself doesn't disclose.
- **๐ MCP connectors** โ export your results into Notion via Apify's MCP connectors โ a clean run-summary page, no glue code. Opt-in via the App connector field; deterministic field-mapping, no AI. Built on Apify's connector framework, so more destinations open up as their catalog grows.
### What data can you extract from jobberman.com?
Each result includes Core listing fields (`jobId`, `jobKey`, `title`, `location`, `category`, `industry`, `experienceLevel`, and `experienceRequirement`, and more), detail fields when enrichment is enabled (`description`, `descriptionHtml`, `descriptionLength`, and `detailFetched`), apply information (`applyUrl`, `externalApplyUrl`, and `easyApply`), and company metadata (`company` and `companyUrl`). In standard mode, all fields are always present โ unavailable data points are returned as `null`, never omitted. In compact mode, only core fields are returned.
Enable detail enrichment in the input to get richer fields such as full descriptions and company profiles where the source provides them.
### 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`** โ Keyword query for Jobberman search. Use a JSON array string only if you want multiple keyword runs in one actor input.
- **`country`** โ Jobberman market to search. Current implementation supports Nigeria. (default: `"NG"`)
- **`location`** โ Location slug or label such as `lagos`, `abuja`, `remote`, or `rest-nigeria`. Use a JSON array string only if you want multiple locations.
- **`jobFunction`** โ Job function slug such as `engineering-technology`, `software-data`, or `accounting-auditing-finance`. Use a JSON array string for multiple values.
- **`industry`** โ Industry slug such as `it-telecoms`, `construction`, or `manufacturing-warehousing`. Use a JSON array string for multiple values.
- **`experience`** โ Experience filter for Jobberman. (default: `"mid-level"`)
- **`startUrls`** โ Optional direct Jobberman search or detail URLs. Useful for replaying a known search path or a single listing.
- **`maxResults`** โ Maximum total job listings to return across all search sources. Use `0` for unlimited. Memory profile: up to 500 results uses 512 MB, above 500 uses 1024 MB. If both maxResults and maxPages are set, the lower cap wins. (default: `25`)
- **`maxPages`** โ Maximum Jobberman search result pages to scrape per search source. Defensive safety bound โ `maxResults` is the primary record cap. If both maxResults and maxPages are set, the lower cap wins. (default: `5`)
- **`includeDetails`** โ Fetch each Jobberman detail page for full description, salary metadata, dates, and apply URL. (default: `true`)
- **`includeCompanyProfile`** โ Reserved for later company profile enrichment. Current implementation does not fetch dedicated company pages yet. (default: `false`)
- **`descriptionMaxLength`** โ Truncate `description` to this many characters. Use `0` for no truncation. (default: `0`)
- ...and 22 more parameters
### Input examples
**Basic search** โ Keyword-driven search scoped to a city with a tight radius.
โ Full payload per result โ all standard fields populated where the source provides them.
```json
{
"query": "engineer",
"location": "lagos",
"maxResults": 50
}
````
**Incremental tracking** โ Only emit jobs that changed since the previous run with this `stateKey`.
โ 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": "engineer",
"maxResults": 200,
"incrementalMode": true,
"stateKey": "engineer-tracker"
}
```
**Compact output for AI agents** โ Return only core fields for AI-agent and MCP workflows.
โ Small payload with the most important fields โ ideal for piping into LLMs without token overhead.
```json
{
"query": "engineer",
"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": "52d14c86fdf489491543c69d876b1b3825bf5eab4066161bb49ef6386898b2ab",
"jobKey": "site-engineer-n9pxrm",
"title": "Site Engineer",
"company": "MEP Insights Ltd",
"companyUrl": null,
"location": "Lagos",
"category": "Engineering & Technology",
"industry": "Energy & Utilities",
"experienceLevel": "Mid level",
"experienceRequirement": "3 years",
"description": "Responsibilities: Supervise and manage on-site construction activitiesInterpret design drawings, supervise implement and update drawings based on site constraintsGive recommendations on works based on...",
"descriptionHtml": "\n Responsibilities:
\n\n- Supervise and manage on-site construction activities
- ' with your token
const client = new ApifyClient({
token: '',
});
// Prepare Actor input
const input = {
"query": "engineer",
"location": "lagos",
"maxResults": 5,
"descriptionFormat": "all",
"excludeEmptyFields": false
};
// Run the Actor and wait for it to finish
const run = await client.actor("blackfalcondata/jobberman-scraper").call(input);
// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`๐พ 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);
});
// ๐ Want to learn more ๐? Go to โ 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": "engineer",
"location": "lagos",
"maxResults": 5,
"descriptionFormat": "all",
"excludeEmptyFields": False,
}
# Run the Actor and wait for it to finish
run = client.actor("blackfalcondata/jobberman-scraper").call(run_input=run_input)
# Fetch and print Actor results from the run's dataset (if there are any)
print("๐พ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)
# ๐ Want to learn more ๐? Go to โ https://docs.apify.com/api/client/python/docs/quick-start
```
## CLI example
```bash
echo '{
"query": "engineer",
"location": "lagos",
"maxResults": 5,
"descriptionFormat": "all",
"excludeEmptyFields": false
}' |
apify call blackfalcondata/jobberman-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=blackfalcondata/jobberman-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Jobberman Scraper - Nigeria Job Listings",
"description": "Scrape jobberman.com - Nigeriaโs leading job board. Salary metadata, experience filters, and incremental change monitoring for new and updated listings. Compact output for AI agents and MCP workflows.",
"version": "0.1",
"x-build-id": "1OjfpbdAafp0oh9ie"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/blackfalcondata~jobberman-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-blackfalcondata-jobberman-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": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/blackfalcondata~jobberman-scraper/runs": {
"post": {
"operationId": "runs-sync-blackfalcondata-jobberman-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/blackfalcondata~jobberman-scraper/run-sync": {
"post": {
"operationId": "run-sync-blackfalcondata-jobberman-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": "๐ Search Term(s)",
"type": "string",
"description": "Keyword query for Jobberman search. Use a JSON array string only if you want multiple keyword runs in one actor input."
},
"country": {
"title": "๐ Country",
"enum": [
"NG"
],
"type": "string",
"description": "Jobberman market to search. Current implementation supports Nigeria.",
"default": "NG"
},
"location": {
"title": "๐ Location",
"type": "string",
"description": "Location slug or label such as `lagos`, `abuja`, `remote`, or `rest-nigeria`. Use a JSON array string only if you want multiple locations."
},
"jobFunction": {
"title": "Job Function",
"type": "string",
"description": "Job function slug such as `engineering-technology`, `software-data`, or `accounting-auditing-finance`. Use a JSON array string for multiple values."
},
"industry": {
"title": "๐ญ Industry",
"type": "string",
"description": "Industry slug such as `it-telecoms`, `construction`, or `manufacturing-warehousing`. Use a JSON array string for multiple values."
},
"experience": {
"title": "Experience Level",
"enum": [
"no-experience",
"graduate-trainee",
"entry-level",
"mid-level",
"senior-level",
"executive-level"
],
"type": "string",
"description": "Experience filter for Jobberman.",
"default": "mid-level"
},
"startUrls": {
"title": "๐ Start URLs",
"type": "array",
"description": "Optional direct Jobberman search or detail URLs. Useful for replaying a known search path or a single listing.",
"items": {
"type": "string"
}
},
"maxResults": {
"title": "๐ฏ Max Results",
"minimum": 0,
"maximum": 1000,
"type": "integer",
"description": "Maximum total job listings to return across all search sources. Use `0` for unlimited. Memory profile: up to 500 results uses 512 MB, above 500 uses 1024 MB. If both maxResults and maxPages are set, the lower cap wins.",
"default": 25
},
"maxPages": {
"title": "๐ Max Pages",
"minimum": 1,
"maximum": 50,
"type": "integer",
"description": "Maximum Jobberman search result pages to scrape per search source. Defensive safety bound โ `maxResults` is the primary record cap. If both maxResults and maxPages are set, the lower cap wins.",
"default": 5
},
"includeDetails": {
"title": "๐ Include Full Details",
"type": "boolean",
"description": "Fetch each Jobberman detail page for full description, salary metadata, dates, and apply URL.",
"default": true
},
"includeCompanyProfile": {
"title": "๐ข Include Company Profile",
"type": "boolean",
"description": "Reserved for later company profile enrichment. Current implementation does not fetch dedicated company pages yet.",
"default": false
},
"descriptionMaxLength": {
"title": "โ๏ธ Description Max Length",
"minimum": 0,
"type": "integer",
"description": "Truncate `description` to this many characters. Use `0` for no truncation.",
"default": 0
},
"compact": {
"title": "๐ฆ Compact Output",
"type": "boolean",
"description": "Return only core fields for AI-agent or MCP workflows.",
"default": false
},
"descriptionFormat": {
"title": "Description format",
"enum": [
"all",
"text",
"html",
"markdown"
],
"type": "string",
"description": "Pick a single description representation. `all` keeps every variant; `text` / `html` / `markdown` drop the others.",
"default": "all"
},
"excludeEmptyFields": {
"title": "Exclude empty fields from output",
"type": "boolean",
"description": "Drop null, empty-string, and empty-array fields from each record before push. Smaller payloads for AI agents and dashboards.",
"default": false
},
"incrementalMode": {
"title": "โป๏ธ Incremental Mode",
"type": "boolean",
"description": "Compare the current run against stored state and emit change metadata. Requires `stateKey`.",
"default": false
},
"stateKey": {
"title": "๐ State Key",
"type": "string",
"description": "Optional stable identifier for the tracked search universe. Leave empty to auto-derive a stable identifier from your search inputs โ different keyword/location/filter combinations get isolated state automatically."
},
"emitUnchanged": {
"title": "โป๏ธ Emit Unchanged Records",
"type": "boolean",
"description": "When incremental mode is on, also emit listings that are still unchanged.",
"default": false
},
"emitExpired": {
"title": "โฐ๏ธ Emit Expired Records",
"type": "boolean",
"description": "When incremental mode is on, also emit jobs that disappeared from the current crawl.",
"default": false
},
"skipReposts": {
"title": "๐ซ Skip Reposts",
"type": "boolean",
"description": "Exclude listings detected as reposts of previously seen jobs.",
"default": false
},
"telegramToken": {
"title": "๐ฑ Telegram Bot Token",
"type": "string",
"description": "Telegram bot token from @BotFather. Pairs with Telegram Chat ID. Pair with Incremental Mode for real-time alerts on new/updated items only."
},
"telegramChatId": {
"title": "๐ฌ Telegram Chat / Channel ID",
"type": "string",
"description": "Chat ID (from @userinfobot) or channel ID (starts with -100 for channels). Required when Telegram Bot Token is set."
},
"slackWebhookUrl": {
"title": "๐ผ Slack Incoming Webhook URL",
"type": "string",
"description": "Slack incoming webhook URL (Slack App โ Incoming Webhooks โ Add New Webhook). Formats jobs as Slack blocks."
},
"discordWebhookUrl": {
"title": "๐ฎ Discord Webhook URL",
"type": "string",
"description": "Discord channel webhook URL (Server Settings โ Integrations โ Webhooks โ New Webhook). Sends rich embeds colour-coded by change type (green=NEW, amber=UPDATED)."
},
"whatsappAccessToken": {
"title": "๐ฒ WhatsApp Access Token",
"type": "string",
"description": "WhatsApp Cloud API permanent System User token from Meta Business. Pairs with WhatsApp Phone Number ID and recipient phone."
},
"whatsappPhoneNumberId": {
"title": "๐ WhatsApp Phone Number ID",
"type": "string",
"description": "Numeric WhatsApp Business phone-number ID from Meta dashboard."
},
"whatsappTo": {
"title": "๐จ WhatsApp Recipient (E.164)",
"type": "string",
"description": "Recipient phone in E.164 format (e.g. \"15551234567\"). Recipient must have messaged the business number within the last 24h, otherwise Meta rejects free-form text."
},
"webhookUrl": {
"title": "๐ Generic Webhook URL",
"type": "string",
"description": "POSTs a JSON payload `{metadata, items}` to your endpoint. Universal hook for n8n / Make / Zapier / custom backends."
},
"webhookHeaders": {
"title": "๐ Webhook Headers (JSON)",
"type": "object",
"description": "Optional headers (e.g. `{\"Authorization\": \"Bearer ...\"}`) sent with the webhook POST."
},
"notificationLimit": {
"title": "๐ข Notification Limit",
"minimum": 1,
"maximum": 20,
"type": "integer",
"description": "Maximum number of jobs included per notification batch (1โ20). Prevents spam on large result sets.",
"default": 5
},
"notifyOnlyChanges": {
"title": "๐ Notify Only on Changes",
"type": "boolean",
"description": "When ON together with Incremental Mode, send notifications only for NEW and UPDATED jobs. Has no effect outside incremental mode.",
"default": false
},
"includeRunMetadata": {
"title": "๐ฃ Include Run Summary in Notifications",
"type": "boolean",
"description": "Prepend a one-line summary (search label + total count) to each notification batch.",
"default": true
},
"appConnector": {
"title": "Send results to Notion (or another connected app)",
"type": "string",
"description": "Optional. Pick a connected app under Settings โ API & Integrations to receive your results. Notion is supported today (a run-summary page); other MCP connectors are best-effort as Apify expands its catalog."
},
"mcpIssueTeam": {
"title": "Issue tracker team",
"type": "string",
"description": "Only when the connected app is an issue tracker: the team (name or ID) the summary issue is created under, if that app requires one."
}
}
},
"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
}
}
}
}
}
}
}
}
}
}
```