# TheLadders Scraper (`lexis-solutions/theladders-scraper`) Actor

Scrape TheLadders job listings with structured data — title, company, location, salary, employment type, skills & more. Ideal for job market research, recruitment intelligence & lead generation.

- **URL**: https://apify.com/lexis-solutions/theladders-scraper.md
- **Developed by:** [Lexis Solutions](https://apify.com/lexis-solutions) (community)
- **Categories:** Jobs, Lead generation, AI
- **Stats:** 9 total users, 2 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.90 / 1,000 listings

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

## TheLadders Scraper

![banner](https://i.imgur.com/sBwRfwZ.png)

TheLadders (theladders.com) is a job marketplace focused on professional roles. This actor collects structured job detail data from TheLadders search and listing pages.

### Introduction

The TheLadders scraper starts from search, listing, or job URLs, goes through result pages, and extracts structured job detail data such as title, company, location, salary fields, employment type, job description, qualifications, responsibilities, benefits, and more.

### Use Cases

- **Job market research**: Track openings, salary ranges, and hiring patterns for selected keywords.
- **Recruitment intelligence**: Monitor companies, roles, and demand across target locations.
- **Lead generation**: Build structured job datasets for outreach, enrichment, or sales workflows.
- **Analytics pipelines**: Feed dashboards, warehousing, and labor market analysis systems.

### Input

Provide the following fields:

- `startUrls` (array, required): TheLadders search, listing, or job URLs.
- `maxItems` (integer, optional): Maximum number of job detail items to extract per original URL.
- `proxyConfiguration` (object, optional): Apify proxy settings.

Notes:

- If a `startUrl` is a search or listing URL, the actor paginates result pages and collects job detail pages.
- If a `startUrl` is a job detail URL, the actor extracts that job page directly.
- Pagination increments the `page` query parameter automatically: `page=1`, `page=2`, `page=3`, and so on.
- Crawling stops per source URL when `maxItems` is reached.
- Proxies are recommended for larger runs and better reliability.

### Input Examples

**1) Start URLs**

```json
{
  "startUrls": [
    {
      "url": "https://www.theladders.com/jobs/searchresults-jobs?keywords=design"
    },
    {
      "url": "https://www.theladders.com/job/designer-interactive-apple-san-francisco-ca_86484693"
    }
  ],
  "maxItems": 10,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

### Output

Each dataset item contains fields like:

```json
{
  "url": "https://www.theladders.com/job/designer-interactive-apple-san-francisco-ca_86484693",
  "originalUrl": "https://www.theladders.com/jobs/searchresults-jobs?keywords=design",
  "jobId": "86484693",
  "title": "Designer, Interactive",
  "companyName": "Apple",
  "companyWebsite": "",
  "companyLogo": "",
  "location": "San Francisco, CA, US",
  "city": "San Francisco",
  "state": "CA",
  "postalCode": "",
  "country": "US",
  "workplaceType": "Hybrid",
  "employmentType": "FULL_TIME",
  "salaryText": "$140,000 - $200,000",
  "salaryMin": 140000,
  "salaryMax": 200000,
  "salaryCurrency": "USD",
  "salaryUnit": "YEAR",
  "datePosted": "2026-04-10",
  "validThrough": "",
  "postedAtText": "4 days ago",
  "industry": "Technology",
  "experienceText": "5-7 years of experience",
  "qualifications": [],
  "responsibilities": [],
  "benefits": [],
  "skills": [],
  "applicantLocationRequirements": [],
  "directApply": false,
  "descriptionText": "Full job description text...",
  "metaDescription": "Meta description text..."
}
```

The scraper paginates through listing results and stops when `maxItems` is reached per start URL or when no more result items are found.

### Why use the TheLadders Scraper?

- **Focused**: Built specifically for TheLadders listing and job detail flows.
- **Structured output**: Ready-to-use JSON records for automation and analysis.
- **Per-URL limits**: `maxItems` is enforced per start URL.
- **Pagination support**: Automatically follows `page` query increments.
- **Apify-native**: Works with Apify datasets, request queue, and proxy config.

### FAQ

- **How many jobs can it extract?**\
  Controlled by `maxItems` per source URL.

- **Do I need proxies?**\
  Not always, but proxies are recommended for larger runs and stability.

- **Can I start from a job detail URL?**\
  Yes. The actor can extract supported TheLadders job detail pages directly.

- **What if TheLadders changes their website structure?**\
  The actor may require updates to keep extraction stable.

### Need to scrape other job platforms?

Check out our other scrapers:

- [Dice.com US Tech Jobs Scraper](https://apify.com/lexis-solutions/dice-com-jobs-scraper).
- [Reed.co.uk Scraper](https://apify.com/lexis-solutions/reed-co-uk-scraper).
- [Totaljobs Scraper](https://apify.com/lexis-solutions/totaljobs-scraper).
- [Lever.co Scraper](https://apify.com/lexis-solutions/lever-co-scraper).

***

**Need help or want a custom solution?**

Lexis Solutions is a certified Apify Partner. We can help with custom data extraction projects.

Contact us over [Email](mailto:scraping@lexis.solutions) or [LinkedIn](https://www.linkedin.com/company/lexis-solutions).

### Support Our Work

If you're happy with our work and scrapers, you're welcome to leave us a company review [here](https://apify.com/partners/find/lexis-solutions/review) and leave a review for the scrapers you're subscribed to.

### Image Credit

Image credit: theladders.com.

# Actor input Schema

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

Listing or job URLs to start with.

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

Maximum number of scraped job detail items per original URL.

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

Your proxy configuration from Apify.

## Actor input object example

```json
{
  "startUrls": [
    {
      "url": "https://www.theladders.com/jobs/searchresults-jobs?keywords=design"
    }
  ],
  "maxItems": 10,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

# Actor output Schema

## `overview` (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 = {
    "startUrls": [
        {
            "url": "https://www.theladders.com/jobs/searchresults-jobs?keywords=design"
        }
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("lexis-solutions/theladders-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 = { "startUrls": [{ "url": "https://www.theladders.com/jobs/searchresults-jobs?keywords=design" }] }

# Run the Actor and wait for it to finish
run = client.actor("lexis-solutions/theladders-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 '{
  "startUrls": [
    {
      "url": "https://www.theladders.com/jobs/searchresults-jobs?keywords=design"
    }
  ]
}' |
apify call lexis-solutions/theladders-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,lexis-solutions/theladders-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/xJwm18YzryTdXFg83/builds/6DSix78zapyGs41Ao/openapi.json