# SEEK Australia Jobs Scraper (`datascrapers/seek-au-jobs-scraper`) Actor

Collect SEEK Australia job listings by keyword, location, or URL, with optional job details, company profiles, and company reviews.

- **URL**: https://apify.com/datascrapers/seek-au-jobs-scraper.md
- **Developed by:** [Farhan Ali](https://apify.com/datascrapers) (community)
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.97 / 1,000 job scrapeds

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/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — 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

**SEEK Australia Jobs Scraper** creates a structured dataset of job listings collected from [SEEK Australia](https://au.seek.com). Each dataset item represents one job (or, when a company URL is used, one company) and can include title, advertiser, location, work type, salary, listing date, optional full job details, an optional nested company profile, and optional nested reviews. Query the source with keywords (`searchQueries`), an optional location, or SEEK search, job, or company URLs (`startUrls`). Control the result limit with `maxItems`, and retrieve records through the Apify Dataset API or export them as JSON, CSV, Excel, XML, or another supported format.

### Dataset at a glance

| Property | Value |
|---|---|
| Source | au.seek.com |
| Record unit | One SEEK job, or one company when a company URL is the seed |
| Input methods | Keywords (`searchQueries`) and/or SEEK search, job, or company URLs (`startUrls`) |
| Main identifiers | `jobId`, job URL (`url`); company records use `companyId` |
| Delivery | Apify Dataset and API |
| Export formats | JSON, CSV, Excel, XML, HTML (Apify dataset exports) |
| Update model | Fresh records per Actor run |
| Pricing | $1 / 1,000 jobs; +$1 / 1,000 job details; +$1 / 1,000 company details; +$1 / 1,000 reviews; Actor start $0.00005 |

### Coverage and available records

The Actor collects public SEEK Australia listings from one or both entry points. When both are set, the seeds are combined.

- **Search-based**: `searchQueries` (for example `python developer`) resolve against `location` (for example `Sydney NSW 2000`). Leave `location` empty to search all of Australia. Leave `searchQueries` empty and set `location` to list jobs in that place.
- **URL-based**: `startUrls` accepts SEEK search result pages, job pages (`https://au.seek.com/job/93791035`), or company profiles (`https://au.seek.com/companies/coles-group-433124`).

Search filters (all optional):

- `workTypes`: `full-time`, `part-time`, `contract`, `casual`
- `workArrangements`: `on-site`, `hybrid`, `remote`
- `classifications`: SEEK classification keys such as `information-communication` or `healthcare`
- `salaryType` plus `salaryMin` / `salaryMax` in AUD (`annual`, `monthly`, `hourly`)
- `listedAt`: `today`, `3d`, `7d`, `14d`, `30d` (empty = any time)

Record types and limits:

- **Listing-level jobs** are always collected: identifiers, title, advertiser, location, work type, salary label, and listed date.
- **Job details** are conditional: full description and extra fields are returned when `scrapeJobDetails` is enabled (default `true`) and charged as the `job-details` event.
- **Company profile** is conditional: a nested `company` object is returned when `scrapeCompanyDetails` is enabled (default `false`) and charged once per unique company.
- **Reviews** are conditional: a nested `reviews` array is returned when `scrapeCompanyReviews` is enabled (default `false`) and charged **per review**. `maxReviewsPerCompany` caps reviews per company (`0` = all).
- **Result cap**: `maxItems` limits job records (`0` means unlimited; console prefill `20`). Company details and reviews nest on those records.

Known exclusions: content SEEK only shows after login is not collected; each run captures listing state at run time (no historical snapshots); markets outside SEEK Australia are not collected.

### Data dictionary

Field names below match dataset record JSON properties exactly. Fields marked *conditional* appear only when the corresponding input toggle is enabled.

#### Job listing fields

| Field | Type | Nullable | Description | Example |
|---|---|---:|---|---|
| `recordType` | string | No | Record kind (`job` or `company`) | `job` |
| `jobId` | string | Yes | SEEK job identifier; recommended deduplication key for jobs | `94231469` |
| `sourceQuery` | string | Yes | Search keyword or URL that produced the record | `python developer` |
| `title` | string | Yes | Job title | `Software Developer` |
| `url` | string | Yes | Job page URL; secondary key | `https://au.seek.com/job/94231469` |
| `abstract` | string | Yes | Short listing summary | `Full stack developer, Python and React on AWS...` |
| `advertiserName` | string | Yes | Advertiser name | `Life Insurance Partners Pty Ltd` |
| `organisationName` | string | Yes | Organisation name | `Life Insurance Partners Pty Ltd` |
| `companyId` | string | Yes | SEEK company identifier when present | `433124` |
| `location` | string | Yes | Display location | `Surry Hills, Sydney NSW` |
| `locationHierarchy` | string\[] | Yes | SEEK location path | `["Surry Hills NSW 2010", "All Sydney NSW", "New South Wales NSW"]` |
| `classifications` | object\[] | Yes | SEEK categories: `{id, name}` | `[{"id": "6287", "name": "Developers/Programmers"}]` |
| `workTypes` | string\[] | Yes | Work type labels | `["Full time"]` |
| `workArrangements` | string\[] | Yes | Workplace labels | `["On-site"]` |
| `salaryLabel` | string | Yes | Salary text as shown by SEEK | `$80,000 – $110,000 per year` |
| `salaryMin` | number | Yes | Numeric minimum in AUD when disclosed | `80000` |
| `salaryMax` | number | Yes | Numeric maximum in AUD when disclosed | `110000` |
| `salaryCurrency` | string | Yes | Currency code when disclosed | `AUD` |
| `listedAt` | string | Yes | Listed timestamp (ISO 8601) | `2026-08-27T03:01:12.000Z` |
| `listedAtLabel` | string | Yes | Relative listed label | `2d ago` |

#### Job detail fields (conditional — `scrapeJobDetails`)

| Field | Type | Nullable | Description | Example |
|---|---|---:|---|---|
| `descriptionHtml` | string | Yes | Full job description HTML | `<p><strong>About us:</strong> ...` |
| `isExpired` | boolean | Yes | Whether SEEK marks the job expired | `false` |
| `isVerified` | boolean | Yes | Whether SEEK marks the listing verified | `true` |

#### Company and review fields (conditional)

`company` is populated when `scrapeCompanyDetails` is enabled. `reviews` is populated when `scrapeCompanyReviews` is enabled. Company-URL seeds can also write a standalone `recordType: "company"` item.

| Field | Type | Nullable | Description | Example |
|---|---|---:|---|---|
| `company` | object | Yes | Nested profile: name, website, size, industry, location, ratings | See example when details are on |
| `reviews` | object\[] | Yes | Nested reviews: `{reviewId, title, pros, cons, overallRating, recommended, createdAt, ...}` | See example when reviews are on |

### Example dataset record

Job from keyword `python developer` in `Sydney NSW 2000` with `scrapeJobDetails` on and company/review enrichment off.

```json
{
  "recordType": "job",
  "jobId": "94231469",
  "sourceQuery": "python developer",
  "title": "Software Developer",
  "url": "https://au.seek.com/job/94231469",
  "abstract": "Full stack developer, Python and React on AWS. Small flat team, AI use, and real ownership.",
  "advertiserName": "Life Insurance Partners Pty Ltd",
  "organisationName": "Life Insurance Partners Pty Ltd",
  "companyId": null,
  "location": "Surry Hills, Sydney NSW",
  "locationHierarchy": ["Surry Hills NSW 2010", "All Sydney NSW", "New South Wales NSW"],
  "classifications": [
    {"id": "6287", "name": "Developers/Programmers"},
    {"id": "6281", "name": "Information & Communication Technology"}
  ],
  "workTypes": ["Full time"],
  "workArrangements": ["On-site"],
  "salaryLabel": "$80,000 – $110,000 per year",
  "salaryMin": 80000,
  "salaryMax": 110000,
  "salaryCurrency": "AUD",
  "listedAt": "2026-08-27T03:01:12.000Z",
  "listedAtLabel": "2d ago",
  "descriptionHtml": "<p><strong>About us:</strong> Sustainable Life Group is a dynamic and fast-growing general advice licensee...</p>",
  "isExpired": false,
  "isVerified": true,
  "company": null,
  "reviews": []
}
```

The record above was produced with this input:

```json
{
  "searchQueries": ["python developer"],
  "location": "Sydney NSW 2000",
  "maxItems": 20,
  "scrapeJobDetails": true,
  "scrapeCompanyDetails": false,
  "scrapeCompanyReviews": false
}
```

### Query and input reference

| Input | Type | Required | Default | Accepted values | Description |
|---|---|---:|---|---|---|
| `searchQueries` | array (string) | No | `[]` (prefill `python developer`) | Job keywords | Search entry point |
| `location` | string | No | — (prefill `Sydney NSW 2000`) | SEEK location label | Empty = all of Australia |
| `startUrls` | array (requestListSources) | No | `[]` | SEEK search, job, or company URLs | URL entry point |
| `workTypes` | array (string) | No | `[]` | `full-time`, `part-time`, `contract`, `casual` | Work-type filter |
| `workArrangements` | array (string) | No | `[]` | `on-site`, `hybrid`, `remote` | Workplace filter |
| `classifications` | array (string) | No | `[]` | SEEK classification keys | Category filter |
| `salaryType` | string | No | `""` | `""`, `annual`, `monthly`, `hourly` | How to interpret salary min/max |
| `salaryMin` | integer | No | — | ≥ 0 AUD | Minimum salary for the selected type |
| `salaryMax` | integer | No | — | ≥ 0 AUD | Maximum salary for the selected type |
| `listedAt` | string | No | `""` | `""`, `today`, `3d`, `7d`, `14d`, `30d` | Recency window |
| `scrapeJobDetails` | boolean | No | `true` | `true` / `false` | Attach full description (charged as job details) |
| `scrapeCompanyDetails` | boolean | No | `false` | `true` / `false` | Attach nested company profile (charged once per company) |
| `scrapeCompanyReviews` | boolean | No | `false` | `true` / `false` | Attach nested reviews (charged per review) |
| `maxReviewsPerCompany` | integer | No | `0` | `0` or any positive integer | Review cap per company; `0` = all |
| `detailConcurrency` | integer | No | `8` | `1`–`20` | Parallel detail / company / review requests |
| `maxItems` | integer | No | `0` | `0` or any positive integer | Maximum jobs; `0` = unlimited (console prefill `20`) |
| `proxyConfiguration` | object | No | Apify proxy, `RESIDENTIAL` | Apify proxy groups or custom proxies | Residential proxies are recommended |

Minimal request:

```json
{ "searchQueries": ["python developer"], "location": "Sydney NSW 2000" }
```

Advanced request (filters plus company reviews):

```json
{
  "searchQueries": ["registered nurse"],
  "location": "Melbourne VIC",
  "workTypes": ["full-time"],
  "workArrangements": ["on-site"],
  "listedAt": "7d",
  "scrapeJobDetails": true,
  "scrapeCompanyDetails": true,
  "scrapeCompanyReviews": true,
  "maxReviewsPerCompany": 10,
  "maxItems": 20
}
```

### Retrieve the data through the API

Records are delivered through the Apify Actor and Dataset APIs — not an official SEEK API.

1. Start the Actor with a JSON input (console or API).
2. Wait for the run to finish, or use a synchronous endpoint if you want the response inline.
3. Retrieve items from the run's default dataset.
4. Paginate or export the dataset.

Python example:

```python
from apify_client import ApifyClient

client = ApifyClient("YOUR-APIFY-TOKEN")

run_input = {
    "searchQueries": ["python developer"],
    "location": "Sydney NSW 2000",
    "maxItems": 20,
    "scrapeJobDetails": True,
}

run = client.actor("datascrapers/seek-au-jobs-scraper").call(run_input=run_input)
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item.get("jobId"), item.get("title"), item.get("salaryLabel"))
```

Apify generates ready-to-run Python, JavaScript, and cURL examples on the Actor's [API tab](https://apify.com/datascrapers/seek-au-jobs-scraper/api). Do not put a real API token in shared code or URLs.

### Data quality and record handling

- **Conditional fields**: `descriptionHtml` depends on `scrapeJobDetails`. `company` and `reviews` depend on their toggles. Listing-only runs (`scrapeJobDetails: false`) return a leaner job record.
- **Source changes**: SEEK page structure and values can change; unreadable fields are omitted or returned as null rather than fabricated.
- **Deduplication**: within a run, jobs are identified by `jobId`. Company details are charged once per unique company. Across runs, records are appended.
- **Failures**: one failed job or company request does not stop the run. The run stops if a spending limit is reached.
- **Normalization**: `salaryMin` / `salaryMax` are numeric AUD when SEEK discloses pay. `listedAt` is ISO 8601. Salary labels and work-type text come from SEEK.

### Export and pipeline examples

| Destination | Recommended method | Typical use |
|---|---|---|
| PostgreSQL / Supabase | Dataset API poll or webhook consumer | Store jobs and salary bands |
| Google Sheets | Apify Google Sheets integration | Share shortlists for recruiters |
| ATS / CRM | Dataset API or completion webhook | Candidate-market monitoring |
| S3 / cloud storage | Scheduled export via Apify scheduler + integration | Archival of hiring snapshots |

### Pricing and cost examples

The Actor uses pay-per-event pricing. Each run also charges a one-time Actor start. Residential proxies are recommended. Proxy and compute are billed by your Apify plan. Event charges may be tiered on Apify paid plans.

| Event | Trigger | Rate |
|---|---|---|
| Actor start | Once per run | $0.00005 |
| `job` (Job scraped) | Each job listing written | $0.001 / job ($1 / 1,000) |
| `job-details` (Job Details) | Full description collected (`scrapeJobDetails`) | $0.001 / job ($1 / 1,000) |
| `company-details` (Company Details) | Company profile collected once per company | $0.001 / company ($1 / 1,000) |
| `company-reviews` (Company Review) | Each nested review | $0.001 / review ($1 / 1,000) |

Example costs (Actor start negligible; plan-tier discounts not applied):

| Records | Configuration | Estimated base cost |
|---:|---|---:|
| 1,000 | Jobs only | $1.00 |
| 1,000 | Jobs + job details | $2.00 |
| 1,000 | Jobs + details + 1 company each + 5 reviews each | $8.00 |

Estimates depend on the verified pricing model and the options selected for the run.

### Limitations and responsible data use

- The Actor collects publicly accessible SEEK Australia data only.
- Field availability depends on what SEEK renders at run time; salary and company fields can be null.
- The Actor does not provide historical snapshots unless you store them yourself.
- Large runs should use residential proxies; without them, coverage may degrade.
- You are responsible for compliance with SEEK's terms of service, applicable privacy law, and any contractual obligations before using the data.

### Dataset questions

#### What does one dataset item represent?

Usually one SEEK job. Company-URL seeds can write a `recordType: "company"` item. Reviews never become separate dataset rows; they nest on the job or company record.

#### Which field should I use as a unique identifier?

`jobId` for jobs. `companyId` for company records. `url` is a reasonable secondary key.

#### Are fields nullable or conditional?

Yes. Job-detail, company, and review fields exist only when their toggles are enabled. `companyId` and salary numbers are null when SEEK does not disclose them.

#### Can I retrieve the records as CSV or JSON?

Yes. The dataset can be exported as JSON, CSV, Excel, XML, or HTML from the Apify Console, and queried through the Dataset API. Nested `company` and `reviews` flatten according to the export format.

#### Does the Actor return historical data?

No. Each run captures listing state at run time. To track new jobs or salary changes, schedule repeated runs and store the outputs yourself.

#### What counts as a billable result?

Actor start once per run ($0.00005), a `job` charge per job ($0.001), a `job-details` charge when details are collected ($0.001), a `company-details` charge once per unique company ($0.001), and a `company-reviews` charge per review ($0.001).

### Related datasets from Data Scrapers

- **[Naukri Job Scraper](https://apify.com/datascrapers/naukri-scraper)** — India job listings for the same hiring-market pipelines.
- **[Dice Job Scraper](https://apify.com/datascrapers/dice-scraper)** — US tech job listings that can be compared with SEEK ICT roles.
- **[LinkedIn Job Scraper](https://apify.com/datascrapers/linkedin-job-scraper)** — LinkedIn jobs for cross-board coverage of the same titles.
- **[Glassdoor Jobs Scraper](https://apify.com/datascrapers/glassdoor-jobs-scraper)** — Jobs plus employer ratings that pair with SEEK company reviews.
- **[ZipRecruiter Scraper](https://apify.com/datascrapers/ziprecruiter-scraper)** — US job listings for broader English-language hiring analysis.
- **[StepStone Jobs Scraper](https://apify.com/datascrapers/stepstone-jobs-scraper)** — European job listings for multi-market staffing research.

### Data Scrapers support

Need an additional field, record type, or export workflow? Contact Data Scrapers at stardustspotlight@gmail.com. Include a sample source URL, required fields, expected record volume, and preferred delivery format.

# Actor input Schema

## `searchQueries` (type: `array`):

Job keywords to search on SEEK Australia (e.g. "python developer", "registered nurse"). Leave empty and set Location to list all jobs in that place.

## `location` (type: `string`):

Optional SEEK location label (e.g. "Sydney NSW 2000", "Melbourne VIC"). Leave empty to search all of Australia.

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

Optional SEEK URLs: search result pages, job pages (e.g. https://au.seek.com/job/93791035), or company profiles (e.g. https://au.seek.com/companies/coles-group-433124).

## `workTypes` (type: `array`):

Filter by SEEK work type. Leave empty for any type.

## `workArrangements` (type: `array`):

Filter by workplace arrangement. Leave empty for any.

## `classifications` (type: `array`):

SEEK job classifications (same list as the website filter).

## `salaryType` (type: `string`):

How to interpret Salary Min / Max (SEEK pay filter). Pair with a min and/or max to apply the filter.

## `salaryMin` (type: `integer`):

Minimum salary in AUD for the selected salary type (e.g. 80000 for annual).

## `salaryMax` (type: `integer`):

Maximum salary in AUD for the selected salary type (e.g. 150000 for annual).

## `listedAt` (type: `string`):

Only include jobs listed in this window.

## `scrapeJobDetails` (type: `boolean`):

Fetch the full job description and extra fields. Charged as the job-details event.

## `scrapeCompanyDetails` (type: `boolean`):

Fetch the company about/profile (once per company). Charged as the company-details event.

## `scrapeCompanyReviews` (type: `boolean`):

Fetch company reviews and nest them on the job/company record (reviews column). Charged per review (company-reviews event).

## `maxReviewsPerCompany` (type: `integer`):

Maximum reviews to scrape per company (0 = all reviews).

## `detailConcurrency` (type: `integer`):

Max parallel job-details / company / review-page requests. Each request can rotate to a fresh residential proxy.

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

Maximum number of job records to scrape (0 = unlimited). Company details and reviews are nested on those records.

## `proxyConfiguration` (type: `object`):

Proxy settings. Residential proxies are recommended for SEEK.

## Actor input object example

```json
{
  "searchQueries": [
    "python developer"
  ],
  "location": "Sydney NSW 2000",
  "startUrls": [],
  "workTypes": [],
  "workArrangements": [],
  "classifications": [],
  "salaryType": "",
  "listedAt": "",
  "scrapeJobDetails": true,
  "scrapeCompanyDetails": false,
  "scrapeCompanyReviews": false,
  "maxReviewsPerCompany": 0,
  "detailConcurrency": 8,
  "maxItems": 20,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

# Actor output Schema

## `results` (type: `string`):

Dataset of SEEK jobs (and optional company start-URL rows) with nested company and reviews fields

## `runStats` (type: `string`):

Aggregate scrape statistics for this run

# 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 = {
    "searchQueries": [
        "python developer"
    ],
    "location": "Sydney NSW 2000",
    "maxItems": 20,
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": [
            "RESIDENTIAL"
        ]
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("datascrapers/seek-au-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 = {
    "searchQueries": ["python developer"],
    "location": "Sydney NSW 2000",
    "maxItems": 20,
    "proxyConfiguration": {
        "useApifyProxy": True,
        "apifyProxyGroups": ["RESIDENTIAL"],
    },
}

# Run the Actor and wait for it to finish
run = client.actor("datascrapers/seek-au-jobs-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "searchQueries": [
    "python developer"
  ],
  "location": "Sydney NSW 2000",
  "maxItems": 20,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}' |
apify call datascrapers/seek-au-jobs-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,datascrapers/seek-au-jobs-scraper"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/laIhapfC9FpJwSfhN/builds/At19hT4M39IlR70es/openapi.json