# Get-in-IT Scraper (`unfenced-group/get-in-it-scraper`) Actor
Scrape get-in-it.de for structured German IT job data: titles, companies, skills, locations & full descriptions. 4,000+ listings across all IT career fields. Repost detection & daysOld filtering included.
- **URL**: https://apify.com/unfenced-group/get-in-it-scraper.md
- **Developed by:** [Unfenced Group](https://apify.com/unfenced-group) (community)
- **Categories:** Jobs, Developer tools, Automation
- **Stats:** 2 total users, 2 monthly users, 100.0% runs succeeded, 1 bookmarks
- **User rating**: No ratings yet
## Pricing
from $1.50 / 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
## Get-in-IT Scraper
Scrape **get-in-it.de** — Germany's leading job board for IT professionals — and retrieve structured vacancy data at scale. Covers 4,000+ active listings across all major IT career fields, with full job descriptions, required skills, education requirements, and company details. No API key required.
---
### Why this scraper?
#### 🎯 IT-specialist focus
get-in-it.de serves exclusively IT roles: software development, system engineering, IT security, data engineering, UX/UI, and more. Every listing is relevant to tech hiring.
#### 🔍 Career field filtering
Filter by one or more of 14 IT career categories — from Anwendungsentwicklung to Webentwicklung — to target exactly the roles you need.
#### 🏠 Remote job filtering
Instantly isolate home-office-eligible positions with a single toggle. No keyword guessing required.
#### 📄 Full job descriptions
Retrieve complete job content as HTML, plain text, and Markdown — ready for downstream processing, LLM pipelines, or ATS import.
#### 🛡️ Repost detection
Cross-run deduplication via a 90-day fingerprint store. Ideal for daily incremental pipelines — only new listings are flagged as new.
#### 📅 Age-based filtering
Filter listings by publish date with the `daysOld` parameter to keep your data fresh without processing the full backlog each run.
---
### Input parameters
| Parameter | Type | Default | Description |
|-----------|------|---------|-------------|
| `thematicPriority` | array | `[]` | IT career field IDs. Empty = all fields. See IDs below. |
| `studySubject` | array | `[]` | Field of study IDs. Empty = all. Common: 2=Informatik, 15=Informationstechnik. |
| `state` | array | `[]` | German state codes (e.g. `["BY", "NW", "BE"]`). Empty = all states. |
| `homeOffice` | boolean | `false` | When `true`, returns only remote-eligible jobs. |
| `maxResults` | integer | `100` | Maximum number of results to return. |
| `fetchDetails` | boolean | `true` | Fetch full description, skills and publish date from each job page. |
| `daysOld` | integer | — | Only return jobs posted within N days. Forces `fetchDetails: true`. |
| `skipReposts` | boolean | `false` | Skip jobs seen in previous runs (90-day window). |
| `startUrls` | array | `[]` | Specific job page URLs to scrape. Overrides all filters when provided. |
#### Career field IDs (`thematicPriority`)
| ID | Field |
|----|-------|
| 36 | Anwendungsentwicklung |
| 38 | Business Analysis |
| 37 | Consulting |
| 39 | Datenbankentwicklung / BI |
| 45 | Embedded Systems |
| 44 | Forschung |
| 51 | IT-Security |
| 41 | Produktmanagement |
| 3 | Projektmanagement |
| 24 | Quality Assurance |
| 40 | Risk / Compliance Management |
| 35 | System Engineering / Admin |
| 47 | UX / UI |
| 5 | Webentwicklung |
#### German state codes (`state`)
`BY` · `NW` · `BW` · `HH` · `BE` · `HE` · `NI` · `RP` · `SN` · `SL` · `BB` · `MV` · `ST` · `SH` · `TH` · `HB`
---
### Output schema
Each result contains:
```json
{
"id": 306467,
"url": "https://www.get-in-it.de/jobsuche/p306467",
"title": "Senior Software Developer / Data Solutions Engineer (m/w/d)",
"homeOffice": true,
"careers": [
{ "id": 36, "name": "Anwendungsentwicklung" },
{ "id": 39, "name": "Datenbankentwicklung/BI" }
],
"locations": ["Hamburg", "Göttingen"],
"nationwide": false,
"company": {
"id": 4923,
"name": "isi Institut für Sensorikforschung und Innovationsberatung",
"logoUrl": "https://www.get-in-it.de/image/store/242176ed-9ea2-4e98-84a7-3a3b923b2297",
"profileUrl": "https://www.get-in-it.de/unternehmen/institut-fur-sensorikforschung-und-innovationsberatung-gmbh",
"topCompany": false
},
"description": "",
"descriptionText": "Du begeisterst dich für Softwareentwicklung...",
"descriptionMarkdown": "### Deine Aufgaben\n\n- ...",
"publishDate": "2026-04-01",
"publishDateISO": "2026-04-01",
"employmentType": "FULL_TIME",
"skills": [".NET", "Angular", "C#", "Git", "Python", "React (JS)"],
"educationRequirements": ["bachelor degree", "professional certificate"],
"directApply": false,
"jobLocations": [
{ "city": "Göttingen", "region": "Niedersachsen", "country": "DE" },
{ "city": "Hamburg", "region": "Hamburg", "country": "DE" }
],
"companyWebsite": "https://www.isi-insights.com/",
"jobImmediateStart": true,
"contentHash": "a3f9c2b1d0e8f741",
"summary": "Du begeisterst dich für Softwareentwicklung und möchtest leistungsstarke, skalierbare Anwendungen...",
"source": "get-in-it.de",
"scrapedAt": "2026-04-04T10:30:00.000Z",
"isRepost": false,
"originalPublishDate": null,
"originalUrl": null
}
````
**Field reference:**
| Field | Type | Notes |
|-------|------|-------|
| `id` | integer | Platform's unique job ID |
| `url` | string | Full URL to the job page |
| `title` | string | Job title |
| `homeOffice` | boolean | Remote work available |
| `careers` | array | Career field objects `{id, name}` |
| `locations` | array | City names (excluding "bundesweit") |
| `nationwide` | boolean | `true` when listing is available across Germany |
| `company` | object | Employer details |
| `description` | string | Full job description as HTML (`null` if `fetchDetails: false`) |
| `descriptionText` | string | Plain-text description (`null` if `fetchDetails: false`) |
| `descriptionMarkdown` | string | Markdown description (`null` if `fetchDetails: false`) |
| `publishDate` | string | Publish date `YYYY-MM-DD` (`null` if `fetchDetails: false`) |
| `publishDateISO` | string | ISO 8601 publish date |
| `employmentType` | string | `FULL_TIME`, `PART_TIME`, etc. |
| `skills` | array | Required technical skills |
| `educationRequirements` | array | Degree requirements |
| `directApply` | boolean | Whether direct application is enabled |
| `jobLocations` | array | Structured address objects `{city, region, country}` |
| `companyWebsite` | string | Employer's external website |
| `jobImmediateStart` | boolean | Position available immediately |
| `contentHash` | string | MD5 of URL + publish date (16 chars) — change detection |
| `summary` | string | First 160 chars of description |
| `source` | string | Always `"get-in-it.de"` |
| `scrapedAt` | string | ISO 8601 timestamp of this run |
| `isRepost` | boolean | `true` if seen in a previous run |
| `originalPublishDate` | string | Publish date from first observation |
| `originalUrl` | string | URL from first observation |
***
### Examples
#### Browse all IT jobs (default)
```json
{
"maxResults": 100
}
```
#### Python / backend developer roles in Bavaria
```json
{
"thematicPriority": [36, 39],
"state": ["BY"],
"maxResults": 500,
"fetchDetails": true
}
```
#### Remote IT-Security jobs posted in the last 7 days
```json
{
"thematicPriority": [51],
"homeOffice": true,
"daysOld": 7,
"maxResults": 200
}
```
#### Incremental daily run — new listings only
```json
{
"skipReposts": true,
"daysOld": 1,
"maxResults": 500
}
```
#### Scrape specific job pages
```json
{
"startUrls": [
{ "url": "https://www.get-in-it.de/jobsuche/p306467" },
{ "url": "https://www.get-in-it.de/jobsuche/p305636" }
]
}
```
***
### 💰 Pricing
**$1.50 per 1,000 results** — you only pay for successfully retrieved listings.
Failed retries and filtered reposts are never charged.
| Results | Cost |
|---------|------|
| 100 | ~$0.15 |
| 1,000 | ~$1.50 |
| 10,000 | ~$15.00 |
| 100,000 | ~$150.00 |
> Flat-rate alternatives typically charge $29–$49/month regardless of usage.
> At 10,000 results/month, this scraper costs significantly less with no commitment.
Use the **Max results** cap in the input to control your spend exactly.
***
### Performance
| Run type | Results | Approx. time |
|----------|---------|--------------|
| List only (`fetchDetails: false`) | 1,000 | ~1–2 min |
| Full details | 100 | ~1–2 min |
| Full details | 1,000 | ~10–15 min |
| Full catalogue | ~4,200 | ~45–60 min |
***
### Known limitations
- **Salary:** get-in-it.de does not publish salary information. The `salary` field is not present in results.
- **Apply URL:** Applications are handled via the platform's detail page only — no direct external apply URL is available.
- **Keyword search:** get-in-it.de does not expose a free-text search filter via its API. Use `thematicPriority` and `state` filters to narrow results.
- **Publish date:** Only available when `fetchDetails: true`. List-only runs return `publishDate: null`.
***
### Technical details
- **Source:** get-in-it.de — Germany's IT-specialist job board
- **Memory:** 256 MB
- **Repost storage:** KeyValueStore `get-in-it-scraper-job-dedup`, 90-day TTL
- **Retry:** Automatic retry on network errors, exponential backoff, 3 attempts per request
***
### Additional services
Need a custom actor, additional filters, scheduled runs, or integration support?
Send an email to — we build on request.
***
*Built by [unfenced-group](https://apify.com/unfenced-group) · Issues? Open a ticket or send a message.*
# Actor input Schema
## `thematicPriority` (type: `array`):
Filter by IT career field. Leave empty to scrape all fields. Accepted IDs: 36=Anwendungsentwicklung, 38=Business Analysis, 37=Consulting, 39=Datenbankentwicklung/BI, 45=Embedded Systems, 44=Forschung, 51=IT-Security, 41=Produktmanagement, 3=Projektmanagement, 24=Quality Assurance, 40=Risk/Compliance, 35=System Engineering/Admin, 47=UX/UI, 5=Webentwicklung.
## `studySubject` (type: `array`):
Filter by field of study (IDs). Common values: 2=Informatik, 15=Informationstechnik, 1=Wirtschaftsinformatik, 8=Mathematik/Statistik. Leave empty for all subjects.
## `state` (type: `array`):
Filter by German federal state. Use 2-letter codes: BY=Bayern, NW=Nordrhein-Westfalen, BW=Baden-Württemberg, HH=Hamburg, BE=Berlin, HE=Hessen, NI=Niedersachsen, RP=Rheinland-Pfalz, SN=Sachsen, SL=Saarland, BB=Brandenburg, MV=Mecklenburg-Vorpommern, ST=Sachsen-Anhalt, SH=Schleswig-Holstein, TH=Thüringen, HB=Bremen. Leave empty for all states.
## `homeOffice` (type: `boolean`):
When enabled, only returns jobs that allow working from home.
## `maxResults` (type: `integer`):
Maximum number of job listings to return. Use this to control costs.
## `fetchDetails` (type: `boolean`):
Fetch full job description, skills, education requirements and publish date from each job's detail page. Disable for faster, lighter runs that return list-level data only.
## `daysOld` (type: `integer`):
Only return jobs posted within this many days. Requires detail pages to be fetched (fetchDetails is automatically enabled when this filter is active).
## `skipReposts` (type: `boolean`):
Skip jobs already seen in previous runs (based on job ID). Useful for daily incremental runs.
## `startUrls` (type: `array`):
Optional list of specific get-in-it.de job URLs to scrape directly (e.g. https://www.get-in-it.de/jobsuche/p306467). When provided, all filter settings are ignored.
## Actor input object example
```json
{
"thematicPriority": [],
"studySubject": [],
"state": [],
"homeOffice": false,
"maxResults": 100,
"fetchDetails": true,
"skipReposts": false,
"startUrls": []
}
```
# Actor output Schema
## `results` (type: `string`):
No description
# 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 = {
"thematicPriority": [],
"studySubject": [],
"state": [],
"homeOffice": false,
"maxResults": 100,
"fetchDetails": true,
"skipReposts": false
};
// Run the Actor and wait for it to finish
const run = await client.actor("unfenced-group/get-in-it-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 = {
"thematicPriority": [],
"studySubject": [],
"state": [],
"homeOffice": False,
"maxResults": 100,
"fetchDetails": True,
"skipReposts": False,
}
# Run the Actor and wait for it to finish
run = client.actor("unfenced-group/get-in-it-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 '{
"thematicPriority": [],
"studySubject": [],
"state": [],
"homeOffice": false,
"maxResults": 100,
"fetchDetails": true,
"skipReposts": false
}' |
apify call unfenced-group/get-in-it-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=unfenced-group/get-in-it-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Get-in-IT Scraper",
"description": "Scrape get-in-it.de for structured German IT job data: titles, companies, skills, locations & full descriptions. 4,000+ listings across all IT career fields. Repost detection & daysOld filtering included.",
"version": "0.0",
"x-build-id": "vLxqZJOWVZQ0ZKR2V"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/unfenced-group~get-in-it-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-unfenced-group-get-in-it-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": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/unfenced-group~get-in-it-scraper/runs": {
"post": {
"operationId": "runs-sync-unfenced-group-get-in-it-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/unfenced-group~get-in-it-scraper/run-sync": {
"post": {
"operationId": "run-sync-unfenced-group-get-in-it-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": {
"thematicPriority": {
"title": "Career field (thematic priority)",
"type": "array",
"description": "Filter by IT career field. Leave empty to scrape all fields. Accepted IDs: 36=Anwendungsentwicklung, 38=Business Analysis, 37=Consulting, 39=Datenbankentwicklung/BI, 45=Embedded Systems, 44=Forschung, 51=IT-Security, 41=Produktmanagement, 3=Projektmanagement, 24=Quality Assurance, 40=Risk/Compliance, 35=System Engineering/Admin, 47=UX/UI, 5=Webentwicklung.",
"default": []
},
"studySubject": {
"title": "Study subject filter",
"type": "array",
"description": "Filter by field of study (IDs). Common values: 2=Informatik, 15=Informationstechnik, 1=Wirtschaftsinformatik, 8=Mathematik/Statistik. Leave empty for all subjects.",
"default": []
},
"state": {
"title": "German state filter",
"type": "array",
"description": "Filter by German federal state. Use 2-letter codes: BY=Bayern, NW=Nordrhein-Westfalen, BW=Baden-Württemberg, HH=Hamburg, BE=Berlin, HE=Hessen, NI=Niedersachsen, RP=Rheinland-Pfalz, SN=Sachsen, SL=Saarland, BB=Brandenburg, MV=Mecklenburg-Vorpommern, ST=Sachsen-Anhalt, SH=Schleswig-Holstein, TH=Thüringen, HB=Bremen. Leave empty for all states.",
"default": []
},
"homeOffice": {
"title": "Remote / home office only",
"type": "boolean",
"description": "When enabled, only returns jobs that allow working from home.",
"default": false
},
"maxResults": {
"title": "Max results",
"minimum": 1,
"maximum": 10000,
"type": "integer",
"description": "Maximum number of job listings to return. Use this to control costs.",
"default": 100
},
"fetchDetails": {
"title": "Fetch detail pages",
"type": "boolean",
"description": "Fetch full job description, skills, education requirements and publish date from each job's detail page. Disable for faster, lighter runs that return list-level data only.",
"default": true
},
"daysOld": {
"title": "Max age (days)",
"minimum": 1,
"maximum": 365,
"type": "integer",
"description": "Only return jobs posted within this many days. Requires detail pages to be fetched (fetchDetails is automatically enabled when this filter is active)."
},
"skipReposts": {
"title": "Skip reposts",
"type": "boolean",
"description": "Skip jobs already seen in previous runs (based on job ID). Useful for daily incremental runs.",
"default": false
},
"startUrls": {
"title": "Start URLs",
"type": "array",
"description": "Optional list of specific get-in-it.de job URLs to scrape directly (e.g. https://www.get-in-it.de/jobsuche/p306467). When provided, all filter settings are ignored.",
"default": [],
"items": {
"type": "object",
"required": [
"url"
],
"properties": {
"url": {
"type": "string",
"title": "URL of a web page",
"format": "uri"
}
}
}
}
}
},
"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
}
}
}
}
}
}
}
}
}
}
```