# CutShort Scraper (`parsebird/cutshort-jobs-scraper`) Actor

Scrape CutShort.io tech and startup jobs — titles, companies, salaries, skills, experience, descriptions, recruiter details, tech stacks, funding stage. Search by skill or paste URLs. Output modes: full, summary, urls\_only. Export JSON, CSV, Excel. No login needed.

- **URL**: https://apify.com/parsebird/cutshort-jobs-scraper.md
- **Developed by:** [ParseBird](https://apify.com/parsebird) (community)
- **Categories:** Jobs, Developer tools, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 1 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.50 / 1,000 job listings

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

### CutShort Scraper — India Tech & Startup Jobs, Salaries & Skills

Scrape [CutShort.io](https://cutshort.io/) tech and startup job listings — titles, companies, salaries, skills, experience, descriptions, recruiter details, funding stage, and LinkedIn profiles. Search by skill or paste CutShort URLs. Three output modes: full, summary, urls_only. Export as JSON, CSV, or Excel. No login needed.

<table><tr>
<td style="border-left:4px solid #1C1917;padding:12px 16px;font-weight:600">
Extract structured job data from CutShort.io — India's curated tech hiring platform. Search by skill terms like python, react, or devops. Get 35+ fields per job including salary ranges, funding stage, recruiter contacts, company LinkedIn, and USD salary estimates. $1.50 per 1,000 jobs.
</td>
</tr></table>

##### Copy to your AI assistant

Copy this block into ChatGPT, Claude, Cursor, or any LLM to start using this actor.

````

Apify Actor: parsebird/cutshort-jobs-scraper — scrapes CutShort.io tech and startup job listings from India's curated hiring platform. Pricing: $0.0015/result ($1.50/1000). Call via ApifyClient: client.actor("parsebird/cutshort-jobs-scraper").call(run\_input={"skills": \["python", "react"], "maxItems": 25}). Key inputs: skills (array of strings — skill terms like "python", "react", "devops", "nodejs", "java"), startUrls (array of objects with "url" key — CutShort job or search URLs), maxItems (integer, default 50 — max jobs to save), outputMode (string: "full"|"summary"|"urls\_only", default "full"). Output fields (full mode): jobId, jobSlug, url, applyUrl, title, jobType, descriptionText, descriptionHtml, companyName, companyId, companySlug, companyUrl, companyLogo, companyWebsite, companyLinkedin, companyFounded, companySize, fundingStage, location, locations, remote, remoteType, salaryMin, salaryMax, salaryCurrency, salaryPeriod, salaryRawText, salaryMinUsdEstimate, salaryMaxUsdEstimate, experienceRange, experienceMin, experienceMax, skills, recruiterName, recruiterPhoto, matchedSkill, matchedInputs, sourceUrl, sourcePage, sourcePosition, dedupeKey, scrapedAt. API docs: https://docs.apify.com/api/v2 Token: https://console.apify.com/settings/integrations

````

### What is CutShort Scraper?

**CutShort Scraper** is an [Apify Actor](https://apify.com/actors) that extracts job listings from [CutShort.io](https://cutshort.io/) — India's curated tech hiring platform focused on startups and tech companies. Unlike mass job boards, CutShort vets companies before listing, resulting in higher-quality job data with better salary transparency.

Think of it as a **CutShort API alternative** — CutShort does not offer a public data API, but this scraper delivers structured job data at scale. Each listing includes salary ranges, funding stage, company size, recruiter details, and LinkedIn profiles — data points that other job boards rarely expose.

- 🔍 **Search by skill** — Pass skill terms like `python`, `react`, `devops`, `nodejs`, or `java` to find matching jobs
- 🔗 **Direct URLs** — Paste any CutShort job URL or search URL to extract specific listings
- 📊 **Three output modes** — Full (35+ fields), Summary (key fields), or URLs only
- 🏢 **Rich company data** — Funding stage, company size, LinkedIn, website, founded year
- 💰 **Salary transparency** — Numeric salary ranges in INR with USD estimates
- 🔄 **Automatic deduplication** — Jobs appearing across multiple skills are saved only once

### What data can you extract from CutShort?

| Field | Description |
|-------|-------------|
| `jobId` | Unique CutShort job identifier |
| `title` | Job title (e.g., "Backend Engineer - Python", "Sr. Engineering Manager") |
| `companyName` | Hiring company name |
| `location` / `locations` | Job location(s) (e.g., "Bengaluru", "Remote") |
| `remote` / `remoteType` | Whether the role is remote and the remote type |
| `salaryMin` / `salaryMax` | Salary range in INR (annual) when published |
| `salaryCurrency` / `salaryPeriod` | Currency (INR) and period (year) |
| `salaryRawText` | Original salary text (e.g., "₹12L - ₹25L / yr") |
| `salaryMinUsdEstimate` / `salaryMaxUsdEstimate` | USD estimates for INR salaries |
| `experienceRange` | Required experience (e.g., "2-5 years", "10+ years", "Fresher") |
| `skills` | Required tech skills (e.g., ["Python", "Django", "PostgreSQL"]) |
| `jobType` | Employment type (FULL_TIME, INTERNSHIP) |
| `descriptionText` / `descriptionHtml` | Full job description in plain text and HTML |
| `companySize` | Company size range (e.g., "0-20", "1000-5000") |
| `fundingStage` | Startup funding stage (Bootstrapped, Raised funding, Profitable) |
| `companyLinkedin` | Company LinkedIn URL |
| `companyWebsite` | Company website URL |
| `companyFounded` | Year the company was founded |
| `recruiterName` / `recruiterPhoto` | Recruiter who posted the job |
| `url` / `applyUrl` | Direct CutShort job URL |

### Input parameters

| Parameter | Type | Required | Default | Description |
|-----------|------|----------|---------|-------------|
| `skills` | array | No | `["python"]` | Skill or role terms to search on CutShort (e.g., `["python", "react", "devops"]`) |
| `startUrls` | array | No | — | CutShort job URLs or search URLs |
| `maxItems` | integer | No | 50 | Maximum job listings to save across all skills and URLs |
| `outputMode` | string | No | `"full"` | Output detail level: `full`, `summary`, or `urls_only` |

### Output example

```json
{
    "jobId": "6a2bf99d308c1234359cc547",
    "jobSlug": "backend-engineer-python-example-startup",
    "url": "https://cutshort.io/job/backend-engineer-python-example-startup",
    "applyUrl": "https://cutshort.io/job/backend-engineer-python-example-startup",
    "title": "Backend Engineer - Python",
    "jobType": "FULL_TIME",
    "descriptionText": "We are looking for a Backend Engineer...",
    "descriptionHtml": "<p>We are looking for a Backend Engineer...</p>",
    "companyName": "Example Startup",
    "companyId": "6a2bf0d8b550804212f62c2f",
    "companySlug": "jobs-at-example-startup",
    "companyUrl": "https://cutshort.io/company/jobs-at-example-startup",
    "companyLogo": "https://cdnv2.cutshort.io/company-static/example/logo.png",
    "companyWebsite": "https://example.com",
    "companyLinkedin": "https://linkedin.com/company/example",
    "companyFounded": 2022,
    "companySize": "11-50",
    "fundingStage": "Bootstrapped",
    "location": "Bengaluru",
    "locations": ["Bengaluru", "Remote"],
    "remote": true,
    "remoteType": "remote_only",
    "salaryMin": 1200000,
    "salaryMax": 2500000,
    "salaryCurrency": "INR",
    "salaryPeriod": "year",
    "salaryRawText": "₹12L - ₹25L / yr",
    "salaryMinUsdEstimate": 14457,
    "salaryMaxUsdEstimate": 30120,
    "experienceRange": "2-5 years",
    "experienceMin": 2,
    "experienceMax": 5,
    "skills": ["Python", "Django", "PostgreSQL"],
    "recruiterName": "Example Recruiter",
    "recruiterPhoto": "https://cdn.cutshort.io/public/users/example",
    "matchedSkill": "python",
    "matchedInputs": ["python"],
    "sourceUrl": "https://cutshort.io/jobs/python-jobs",
    "sourcePage": 1,
    "sourcePosition": 1,
    "dedupeKey": "6a2bf99d308c1234359cc547",
    "scrapedAt": "2026-06-14T12:00:00.000000+00:00"
}
````

### How to scrape CutShort

1. **Go to the CutShort Scraper** on [Apify Store](https://apify.com/parsebird/cutshort-jobs-scraper).
2. **Enter skill terms** — Add skills like `python`, `react`, `devops`, `nodejs`, or `java` in the Skills field.
3. **Or paste CutShort URLs** — Add job URLs (`https://cutshort.io/job/...`) or search URLs (`https://cutshort.io/jobs/python-jobs`) to the CutShort URLs field.
4. **Set the job limit** — Start with 25 for a quick test, then increase once you verify the output.
5. **Choose an output mode** — Use `full` for all 40+ fields, `summary` for key fields, or `urls_only` for just job IDs and URLs.
6. **Click Start** — The scraper runs in under a minute for most skill searches.
7. **Download results** — Export your data as JSON, CSV, or Excel from the Dataset tab. Or access results via the [Apify API](https://docs.apify.com/api/v2).

**Python API example:**

```python
from apify_client import ApifyClient

client = ApifyClient("YOUR_API_TOKEN")

run = client.actor("parsebird/cutshort-jobs-scraper").call(
    run_input={
        "skills": ["python", "react"],
        "maxItems": 50,
        "outputMode": "full",
    }
)

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(f"{item['title']} at {item['companyName']} — {item.get('salaryRawText', 'N/A')}")
```

**JavaScript API example:**

```javascript
import { ApifyClient } from "apify-client";

const client = new ApifyClient({ token: "YOUR_API_TOKEN" });

const run = await client.actor("parsebird/cutshort-jobs-scraper").call({
    skills: ["python", "react"],
    maxItems: 50,
    outputMode: "full",
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.log(`${item.title} at ${item.companyName} — ${item.salaryRawText || "N/A"}`);
});
```

### Use cases

- 📊 **Salary benchmarking** — Compare pay ranges for Indian tech roles by skill, experience, and funding stage
- 🏢 **Startup intelligence** — Track which startups are hiring, their funding stage, company size, and headcount
- 🔍 **Recruiter research** — Find in-demand skills and actively hiring companies with recruiter contacts
- 📈 **Job market monitoring** — Schedule daily runs to track CutShort hiring trends over time
- 🤖 **AI agent data feeds** — Pipe structured job data into LLM workflows, chatbots, or recommendation engines
- 📋 **Job aggregators** — Add curated startup roles to your platform with CutShort as a data source

Use [Apify scheduling](https://docs.apify.com/platform/schedules) to automate recurring exports. Connect to Google Sheets, Slack, or Zapier via [Apify integrations](https://docs.apify.com/platform/integrations).

### How much does it cost to scrape CutShort?

| Event | Price per event | Price per 1,000 |
|-------|----------------|-----------------|
| `job-listing-scraped` | $0.0015 | **$1.50** |

Each job listing saved to the dataset counts as one event. Runs that find no matching jobs do not incur charges. Use the `maxItems` parameter to control costs — start with 25, then scale up.

**Typical costs:**

- 50 jobs (one skill search): ~$0.075
- 200 jobs (4 skills): ~$0.30
- 1,000 jobs (many skills + URLs): ~$1.50

New users get $5 of free Apify platform credit — enough for thousands of CutShort job listings.

### Limits and caveats

- CutShort may omit fields such as salary, recruiter, funding stage, company size, remote type, or full description on some listings.
- Broad skill terms can return overlapping jobs. The Actor de-duplicates jobs within the run before saving them.
- Direct job URLs normally produce one job item each when the public page still exposes job data.
- The Actor is built for public job listings, not private dashboards, applicant data, or application submission.
- Invalid targets and no-result searches are reported in logs, not as placeholder dataset items.
- Each CutShort skill page returns up to 50 jobs. To get more results, use multiple skill terms.
- Some skill terms (like `react`) may need the full name used by CutShort (like `reactjs`). The scraper automatically tries common alternatives.

### FAQ

**Do I need a CutShort account?**
No. The scraper accesses publicly visible job listings. No login, cookies, or API keys are needed.

**How does CutShort compare to Naukri?**
CutShort has fewer listings but focuses on curated tech and startup jobs with better salary transparency, company/funding data, and recruiter details. For mass India job data, pair this with [Naukri Jobs Scraper](https://apify.com/parsebird/naukri-jobs-scraper).

**What currency are the salaries in?**
Indian Rupees (INR), reported as annual CTC (Cost to Company). USD estimates are provided automatically for INR salaries.

**Can I schedule recurring runs?**
Yes. Use [Apify's scheduling feature](https://docs.apify.com/platform/schedules) to run daily, weekly, or at any interval. Results are available via API or [integrations](https://docs.apify.com/platform/integrations).

**Can I export to CSV or Excel?**
Yes. Download results in JSON, CSV, XML, or Excel directly from the Apify Console Dataset tab, or use the [API](https://docs.apify.com/api/v2) to retrieve results programmatically.

**What does the `outputMode` parameter do?**
It controls how much data is saved per job. `full` includes all 35+ fields (descriptions, company data, recruiter info). `summary` includes key fields like title, company, salary, and skills. `urls_only` includes just the job ID, URL, and title.

**How do I access results via API?**
Use the [Apify API](https://docs.apify.com/api/v2) or client libraries for Python and JavaScript. See the code examples in the [How to scrape CutShort](#how-to-scrape-cutshort) section. Get your API token at [console.apify.com/settings/integrations](https://console.apify.com/settings/integrations).

**Why did a skill return 0 jobs?**
CutShort uses specific skill slugs for its pages. If a skill like `react` returns empty, try the full name `reactjs`. The scraper automatically tries common alternatives, but very niche terms may not have a corresponding CutShort page.

### Is it legal to scrape CutShort?

Scraping publicly available data is generally legal according to the [US Ninth Circuit ruling in HiQ Labs v. LinkedIn](https://apify.com/blog/is-web-scraping-legal). This scraper only accesses publicly visible job listings on CutShort.io — it does not log in, bypass paywalls, or access private data. Always review [CutShort's Terms of Service](https://cutshort.io/terms) and consult legal counsel for your specific use case. For more details, see [Apify's guide on web scraping legality](https://blog.apify.com/is-web-scraping-legal/).

### Related Actors

- [Naukri Jobs Scraper](https://apify.com/parsebird/naukri-jobs-scraper) — Scrape Naukri.com job listings across India with salaries, skills, and AmbitionBox reviews
- [HelloWork Jobs Scraper](https://apify.com/parsebird/hellowork-jobs-scraper) — Scrape HelloWork job listings in France with salaries and skills
- [BuiltIn Jobs Scraper](https://apify.com/parsebird/builtin-jobs-scraper) — Scrape BuiltIn.com tech jobs in the US with company details
- [HiringCafe Jobs Scraper](https://apify.com/parsebird/hiringcafe-jobs-scraper) — Scrape HiringCafe job listings with structured salary data

# Actor input Schema

## `skills` (type: `array`):

Skill or role terms to search on CutShort (e.g., 'python', 'react', 'devops', 'machine-learning'). Each skill returns up to 50 jobs. Lowercase with hyphens for multi-word skills.

## `startUrls` (type: `array`):

Optional CutShort job URLs (e.g., https://cutshort.io/job/...) or search URLs (e.g., https://cutshort.io/jobs/python-jobs). Each job URL returns one listing; each search URL returns up to 50.

## `maxItems` (type: `integer`):

Maximum number of job listings to save across all skills and URLs.

## `outputMode` (type: `string`):

Controls how much data is saved per job. 'full' includes all fields, 'summary' includes key fields only, 'urls\_only' includes just the job ID, URL, and title.

## Actor input object example

```json
{
  "skills": [
    "python",
    "react"
  ],
  "maxItems": 25,
  "outputMode": "full"
}
```

# Actor output Schema

## `dataset` (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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "skills": [
        "python",
        "react"
    ],
    "maxItems": 25,
    "outputMode": "full"
};

// Run the Actor and wait for it to finish
const run = await client.actor("parsebird/cutshort-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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "skills": [
        "python",
        "react",
    ],
    "maxItems": 25,
    "outputMode": "full",
}

# Run the Actor and wait for it to finish
run = client.actor("parsebird/cutshort-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 '{
  "skills": [
    "python",
    "react"
  ],
  "maxItems": 25,
  "outputMode": "full"
}' |
apify call parsebird/cutshort-jobs-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=parsebird/cutshort-jobs-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "CutShort Scraper",
        "description": "Scrape CutShort.io tech and startup jobs — titles, companies, salaries, skills, experience, descriptions, recruiter details, tech stacks, funding stage. Search by skill or paste URLs. Output modes: full, summary, urls_only. Export JSON, CSV, Excel. No login needed.",
        "version": "1.1",
        "x-build-id": "ZJ3bEofcfYx0ayAQK"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/parsebird~cutshort-jobs-scraper/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-parsebird-cutshort-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": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/parsebird~cutshort-jobs-scraper/runs": {
            "post": {
                "operationId": "runs-sync-parsebird-cutshort-jobs-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/parsebird~cutshort-jobs-scraper/run-sync": {
            "post": {
                "operationId": "run-sync-parsebird-cutshort-jobs-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": {
                    "skills": {
                        "title": "Skills",
                        "type": "array",
                        "description": "Skill or role terms to search on CutShort (e.g., 'python', 'react', 'devops', 'machine-learning'). Each skill returns up to 50 jobs. Lowercase with hyphens for multi-word skills.",
                        "default": [
                            "python"
                        ],
                        "items": {
                            "type": "string"
                        }
                    },
                    "startUrls": {
                        "title": "CutShort URLs",
                        "type": "array",
                        "description": "Optional CutShort job URLs (e.g., https://cutshort.io/job/...) or search URLs (e.g., https://cutshort.io/jobs/python-jobs). Each job URL returns one listing; each search URL returns up to 50.",
                        "items": {
                            "type": "object",
                            "required": [
                                "url"
                            ],
                            "properties": {
                                "url": {
                                    "type": "string",
                                    "title": "URL of a web page",
                                    "format": "uri"
                                }
                            }
                        }
                    },
                    "maxItems": {
                        "title": "Job limit",
                        "minimum": 1,
                        "type": "integer",
                        "description": "Maximum number of job listings to save across all skills and URLs.",
                        "default": 50
                    },
                    "outputMode": {
                        "title": "Output mode",
                        "enum": [
                            "full",
                            "summary",
                            "urls_only"
                        ],
                        "type": "string",
                        "description": "Controls how much data is saved per job. 'full' includes all fields, 'summary' includes key fields only, 'urls_only' includes just the job ID, URL, and title.",
                        "default": "full"
                    }
                }
            },
            "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
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```
