# LinkedIn Jobs Scraper - Search, Filter & Detail Extraction (`kaix/linkedin-jobs-scraper`) Actor
🔥 ~$0.1/1K jobs 🔥 Scrape LinkedIn job listings via the public guest API. Search with filters (job type, experience, remote, salary), fetch full descriptions and criteria. No login required.
- **URL**: https://apify.com/kaix/linkedin-jobs-scraper.md
- **Developed by:** [Kai](https://apify.com/kaix) (community)
- **Categories:** Jobs, Lead generation, Agents
- **Stats:** 2 total users, 1 monthly users, 83.3% runs succeeded, NaN bookmarks
- **User rating**: No ratings yet
## Pricing
from $0.09 / 1,000 jobs
This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.
Learn more: https://docs.apify.com/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
## LinkedIn Jobs Scraper
Scrape LinkedIn job listings via the public guest API. Search by keyword, browse by company, or fetch specific job IDs. No login required, no proxy needed.
### Why use this scraper?
- Uses LinkedIn's public guest API, no authentication or cookies needed
- 3 input modes: keyword search, company jobs, direct job ID lookup
- 16 fields per job from search results alone (fast, lightweight)
- 43+ fields with detail mode: full description, employer-provided salary, featured benefits, recruiter contact
- Fetch similar jobs per listing via LinkedIn's similar jobs API
- All LinkedIn search filters: job type, experience level, remote/hybrid/on-site, salary range, date posted, Easy Apply
- Structured output ready for analysis pipelines
### Use cases
- Monitor job postings for specific roles, companies, or locations
- Build salary benchmarks from employer-provided compensation data
- Track hiring trends across industries and regions
- Feed structured job data into AI/NLP pipelines
- Aggregate recruiter contact info for outreach
- Discover related roles and salary ranges from similar jobs
### How to use
#### Basic search
```json
{
"keywords": "software engineer",
"location": "San Francisco"
}
````
#### Search with filters
```json
{
"keywords": "data scientist",
"location": "United States",
"maxJobs": 100,
"jobType": ["full_time"],
"experienceLevel": ["mid_senior", "director"],
"workType": ["remote"],
"datePosted": "past_week",
"sortBy": "recent"
}
```
#### Browse jobs by company
```json
{
"companyId": "30898036",
"maxJobs": 50
}
```
Find company IDs from the typeahead API (`/jobs-guest/api/typeaheadHits?typeaheadType=COMPANY&query=Notion`) or from job detail pages (`companyId` field).
#### Fetch specific jobs by ID
```json
{
"jobIds": ["4406118990", "4407050560", "4370317193"]
}
```
Always fetches full details. No extra charge for detail fetching in this mode.
#### Fetch full job details
```json
{
"keywords": "marketing director",
"location": "New York",
"maxJobs": 10,
"fetchDetails": true
}
```
#### Include similar jobs
```json
{
"keywords": "nurse practitioner",
"location": "Texas",
"maxJobs": 5,
"includeSimilar": true,
"maxSimilarJobs": 50
}
```
#### Filter by salary and Easy Apply
```json
{
"keywords": "nurse practitioner",
"location": "Texas",
"salary": "100000",
"easyApplyOnly": true,
"maxJobs": 50
}
```
### Input
#### Search
| Parameter | Type | Default | Description |
|-----------|------|---------|-------------|
| **keywords** | string | | Job search keywords. Required unless using `companyId` or `jobIds`. |
| **location** | string | | Job location |
| **maxJobs** | number | 25 | Max listings to scrape (LinkedIn caps at 1000) |
| **sortBy** | select | relevant | `relevant` or `recent` |
#### Alternative modes
| Parameter | Type | Description |
|-----------|------|-------------|
| **companyId** | string | LinkedIn company ID to list all jobs from that company |
| **jobIds** | string\[] | Fetch specific jobs by ID. Always fetches full details. |
#### Filters
| Parameter | Type | Default | Description |
|-----------|------|---------|-------------|
| **jobType** | string\[] | | `full_time`, `part_time`, `contract`, `temporary`, `volunteer`, `internship`, `other` |
| **experienceLevel** | string\[] | | `internship`, `entry_level`, `associate`, `mid_senior`, `director`, `executive` |
| **workType** | string\[] | | `on_site`, `remote`, `hybrid` |
| **datePosted** | select | | `past_24h`, `past_week`, `past_month` |
| **salary** | select | | Minimum salary: `40000` through `200000` |
| **easyApplyOnly** | boolean | false | Only Easy Apply jobs |
#### Output options
| Parameter | Type | Default | Description |
|-----------|------|---------|-------------|
| **fetchDetails** | boolean | false | Fetch full job page per listing (~300KB each) |
#### Similar jobs
| Parameter | Type | Default | Description |
|-----------|------|---------|-------------|
| **includeSimilar** | boolean | false | Fetch similar jobs per listing |
| **maxSimilarJobs** | number | 25 | Max similar jobs per listing. 0 = unlimited (up to 1000). |
### Pricing
| Event | When charged | Unit |
|-------|-------------|------|
| **job-detail** | Each successful detail fetch in search/company mode | Per job |
| **similar-job** | Each similar job fetched | Per similar job |
Job ID mode (`jobIds`) always fetches details at no extra charge. Search-only mode (no `fetchDetails`) incurs no per-item charges.
### Output
#### Search-only fields (16 fields, fast)
```json
{
"jobId": "4406118990",
"jobSlug": "software-engineer-new-grad-at-notion-4406118990",
"title": "Software Engineer, New Grad",
"company": "Notion",
"companySlug": "notionhq",
"companyUrl": "https://www.linkedin.com/company/notionhq",
"companyLogoUrl": "https://media.licdn.com/dms/image/v2/D4E0BAQGwvcv_1tHZ4w/company-logo_100_100/B4EZW25gE2GgAQ-/0/1742530282185/notionhq_logo?e=2147483647&v=beta&t=h_sgZm5R2TgP9Fpbo95m2wmxnSDoEz06eupofZwpSXs",
"location": "San Francisco, CA",
"jobUrl": "https://www.linkedin.com/jobs/view/software-engineer-new-grad-at-notion-4406118990",
"position": 1,
"postedDate": "2026-04-24",
"postedTimeAgo": "1 week ago",
"isNew": false,
"salary": null,
"badge": "Actively Hiring",
"benefitsCount": null,
"scrapedAt": "2026-05-01T05:06:50.232Z"
}
```
#### Detail fields (with `fetchDetails: true` or `jobIds`)
```json
{
"description": "About UsNotion helps you build beautiful tools for your life's work...",
"descriptionHtml": "About Us
Notion helps you build...",
"experienceLevel": "Entry level",
"employmentType": "Full-time",
"jobFunction": "Engineering and Information Technology",
"industries": "Software Development",
"applicants": "Over 200 applicants",
"applicantsStatus": "high",
"companyId": "30898036",
"industryIds": "4",
"titleId": "9",
"ogTitle": "Notion hiring Software Engineer, New Grad in San Francisco, CA | LinkedIn",
"referralMultiplier": "2x",
"geoId": "105638634",
"hasDirectApply": false,
"compensationSalary": null,
"compensationProvider": null,
"compensationDescription": null,
"featuredBenefits": [],
"recruiter": null
}
```
#### Compensation and benefits (when available, ~20% of jobs)
From a Financial Planning & Analysis Analyst listing at Jersey Mike's Subs:
```json
{
"compensationSalary": "$102,200.00/yr - $143,100.00/yr",
"compensationProvider": "Jersey Mike's Subs provided pay range",
"compensationDescription": "This range is provided by Jersey Mike's Subs. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.",
"featuredBenefits": ["Medical insurance", "Vision insurance", "Dental insurance", "401(k)"],
"hasDirectApply": true
}
```
#### Recruiter info (when available, ~5% of jobs)
From a Director, Partner Marketing listing at Pinterest:
```json
{
"recruiter": {
"name": "Aisling Seaver (Keogh)",
"title": "Recruiting at Pinterest",
"profileUrl": "https://ie.linkedin.com/in/aisling-seaver-keogh-017b2253",
"photoUrl": "https://media.licdn.com/dms/image/v2/D4D03AQG4RJmq4TjpJg/profile-displayphoto-shrink_400_400/..."
}
}
```
#### Similar jobs (with `includeSimilar: true`)
Fetched via LinkedIn's similar jobs API, paginated at 10 per page:
```json
{
"similarJobs": [
{
"jobId": "4370317193",
"title": "Software Engineer (New Grads)",
"company": "Giga",
"companyUrl": "https://www.linkedin.com/company/gigaml",
"companyLogoUrl": "https://media.licdn.com/dms/image/v2/D560BAQGuz5OVE8IcRg/company-logo_100_100/...",
"location": "San Francisco, CA",
"salary": "$160,000.00 - $250,000.00",
"jobUrl": "https://www.linkedin.com/jobs/view/software-engineer-new-grads-at-giga-4370317193",
"postedDate": "2026-04-14",
"postedTimeAgo": "2 weeks ago",
"isNew": false
}
]
}
```
#### Detail page related content (with `fetchDetails: true`)
The full job page also includes these related sections (different from the similar jobs API):
```json
{
"peopleAlsoViewed": [
{
"jobId": "4318502728",
"title": "Software Engineer",
"company": "Imprint",
"salary": "$140,000.00 - $180,000.00"
}
],
"similarSearches": [
{ "title": "Technology Intern jobs", "url": "https://www.linkedin.com/jobs/technology-intern-jobs", "openJobsCount": "5,338 open jobs" }
],
"relatedSearches": [
{ "title": "Ascent Aviation Services jobs", "url": "https://www.linkedin.com/jobs/ascent-aviation-services-jobs" }
]
}
```
### Limitations
- LinkedIn caps search results at 1000 per query. Use narrower filters to access more listings.
# Actor input Schema
## `keywords` (type: `string`):
Job search keywords (e.g. 'software engineer', 'data scientist'). Required unless using companyId or jobIds.
## `location` (type: `string`):
Job location (e.g. 'San Francisco', 'United States', 'Remote'). Only used with keyword search.
## `maxJobs` (type: `integer`):
Maximum number of job listings to scrape. Set to 0 for no limit (up to 1000). LinkedIn caps at 1000 per query.
## `fetchDetails` (type: `boolean`):
Fetch the full job page for each listing. Adds: description, criteria, compensation, benefits, recruiter info, and related searches (~300KB per job).
## `sortBy` (type: `string`):
How to sort results.
## `companyId` (type: `string`):
LinkedIn company ID to list all jobs from that company (e.g. '1441' for Google, '30898036' for Notion). Find IDs via the company typeahead API or from job detail pages.
## `jobIds` (type: `array`):
Fetch specific jobs by their LinkedIn job IDs (e.g. '4406118990'). Always fetches full details.
## `jobType` (type: `array`):
Filter by job type.
## `experienceLevel` (type: `array`):
Filter by experience level.
## `workType` (type: `array`):
Filter by work arrangement.
## `datePosted` (type: `string`):
Filter by when job was posted.
## `salary` (type: `string`):
Filter by minimum salary range.
## `easyApplyOnly` (type: `boolean`):
Only show jobs with LinkedIn Easy Apply.
## `includeSimilar` (type: `boolean`):
Fetch similar job listings for each scraped job.
## `maxSimilarJobs` (type: `integer`):
Maximum number of similar jobs to fetch per listing. Set to 0 for no limit (up to 1000). LinkedIn typically returns 25-100 similar jobs.
## Actor input object example
```json
{
"keywords": "software engineer",
"location": "United States",
"maxJobs": 25,
"fetchDetails": false,
"sortBy": "relevant",
"easyApplyOnly": false,
"includeSimilar": false,
"maxSimilarJobs": 25
}
```
# 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 = {
"keywords": "software engineer",
"location": "United States"
};
// Run the Actor and wait for it to finish
const run = await client.actor("kaix/linkedin-jobs-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 = {
"keywords": "software engineer",
"location": "United States",
}
# Run the Actor and wait for it to finish
run = client.actor("kaix/linkedin-jobs-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 '{
"keywords": "software engineer",
"location": "United States"
}' |
apify call kaix/linkedin-jobs-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=kaix/linkedin-jobs-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "LinkedIn Jobs Scraper - Search, Filter & Detail Extraction",
"description": "🔥 ~$0.1/1K jobs 🔥 Scrape LinkedIn job listings via the public guest API. Search with filters (job type, experience, remote, salary), fetch full descriptions and criteria. No login required.",
"version": "0.1",
"x-build-id": "VF9RFkJuAKHXO7eco"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/kaix~linkedin-jobs-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-kaix-linkedin-jobs-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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/kaix~linkedin-jobs-scraper/runs": {
"post": {
"operationId": "runs-sync-kaix-linkedin-jobs-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/kaix~linkedin-jobs-scraper/run-sync": {
"post": {
"operationId": "run-sync-kaix-linkedin-jobs-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": {
"keywords": {
"title": "Search keywords",
"type": "string",
"description": "Job search keywords (e.g. 'software engineer', 'data scientist'). Required unless using companyId or jobIds."
},
"location": {
"title": "Location",
"type": "string",
"description": "Job location (e.g. 'San Francisco', 'United States', 'Remote'). Only used with keyword search."
},
"maxJobs": {
"title": "Max jobs",
"minimum": 0,
"maximum": 1000,
"type": "integer",
"description": "Maximum number of job listings to scrape. Set to 0 for no limit (up to 1000). LinkedIn caps at 1000 per query.",
"default": 25
},
"fetchDetails": {
"title": "Fetch full job details",
"type": "boolean",
"description": "Fetch the full job page for each listing. Adds: description, criteria, compensation, benefits, recruiter info, and related searches (~300KB per job).",
"default": false
},
"sortBy": {
"title": "Sort by",
"enum": [
"relevant",
"recent"
],
"type": "string",
"description": "How to sort results.",
"default": "relevant"
},
"companyId": {
"title": "Company ID",
"type": "string",
"description": "LinkedIn company ID to list all jobs from that company (e.g. '1441' for Google, '30898036' for Notion). Find IDs via the company typeahead API or from job detail pages."
},
"jobIds": {
"title": "Job IDs",
"type": "array",
"description": "Fetch specific jobs by their LinkedIn job IDs (e.g. '4406118990'). Always fetches full details.",
"items": {
"type": "string"
}
},
"jobType": {
"title": "Job type",
"type": "array",
"description": "Filter by job type.",
"items": {
"type": "string",
"enum": [
"full_time",
"part_time",
"contract",
"temporary",
"volunteer",
"internship",
"other"
],
"enumTitles": [
"Full-time",
"Part-time",
"Contract",
"Temporary",
"Volunteer",
"Internship",
"Other"
]
}
},
"experienceLevel": {
"title": "Experience level",
"type": "array",
"description": "Filter by experience level.",
"items": {
"type": "string",
"enum": [
"internship",
"entry_level",
"associate",
"mid_senior",
"director",
"executive"
],
"enumTitles": [
"Internship",
"Entry level",
"Associate",
"Mid-Senior level",
"Director",
"Executive"
]
}
},
"workType": {
"title": "Work type",
"type": "array",
"description": "Filter by work arrangement.",
"items": {
"type": "string",
"enum": [
"on_site",
"remote",
"hybrid"
],
"enumTitles": [
"On-site",
"Remote",
"Hybrid"
]
}
},
"datePosted": {
"title": "Date posted",
"enum": [
"past_24h",
"past_week",
"past_month"
],
"type": "string",
"description": "Filter by when job was posted."
},
"salary": {
"title": "Minimum salary",
"enum": [
"40000",
"60000",
"80000",
"100000",
"120000",
"140000",
"160000",
"180000",
"200000"
],
"type": "string",
"description": "Filter by minimum salary range."
},
"easyApplyOnly": {
"title": "Easy Apply only",
"type": "boolean",
"description": "Only show jobs with LinkedIn Easy Apply.",
"default": false
},
"includeSimilar": {
"title": "Include similar jobs",
"type": "boolean",
"description": "Fetch similar job listings for each scraped job.",
"default": false
},
"maxSimilarJobs": {
"title": "Max similar jobs per listing",
"minimum": 0,
"maximum": 1000,
"type": "integer",
"description": "Maximum number of similar jobs to fetch per listing. Set to 0 for no limit (up to 1000). LinkedIn typically returns 25-100 similar jobs.",
"default": 25
}
}
},
"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
}
}
}
}
}
}
}
}
}
}
```