# TheLadders.Com Job Scraper (`unfenced-group/theladders-scraper`) Actor
Scrape professional job listings from TheLadders.com โ salary ranges, company names, locations, and full descriptions for $80K+ roles. No API key needed.
- **URL**: https://apify.com/unfenced-group/theladders-scraper.md
- **Developed by:** [Unfenced Group](https://apify.com/unfenced-group) (community)
- **Categories:** Jobs
- **Stats:** 3 total users, 2 monthly users, 0.0% runs succeeded, NaN bookmarks
- **User rating**: No ratings yet
## Pricing
from $1.49 / 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
## The Ladders Scraper
Extract job listings from [TheLadders.com](https://www.theladders.com) โ one of the United States' leading job boards focused on professional and executive roles ($80K+). Returns job titles, salary ranges, company names, locations, and full descriptions. No API key required.
---
### Why this scraper?
#### ๐ฐ Salary data included
Every listing includes the displayed salary range โ a key differentiator of TheLadders, which specialises in high-salary professional roles.
#### ๐ข Company enrichment
With detail fetching enabled, get the hiring company name, location coordinates, and postal code for each listing.
#### ๐ Location filtering
Filter results by city, state, or region directly via the location input โ no post-processing needed.
#### ๐ Cross-run deduplication
90-day deduplication memory prevents the same job from appearing twice across scheduled runs. Integrate into daily data feeds without managing IDs yourself.
#### ๐ Three description formats
Full job descriptions are returned as HTML, plain text, and Markdown โ ready for any downstream application.
#### โ๏ธ startUrls support
Pass specific TheLadders job or search page URLs to scrape targeted listings directly.
---
### Input parameters
| Parameter | Type | Default | Description |
|-----------|------|---------|-------------|
| `keywords` | string | โ | Job search keywords, e.g. `software engineer`, `product manager` |
| `location` | string | โ | City, state, or region to filter by, e.g. `New York`, `Texas` |
| `maxItems` | integer | 100 | Maximum number of jobs to return (up to 500) |
| `maxPages` | integer | 10 | Maximum search result pages to crawl (25 jobs/page, max 12) |
| `fetchDetails` | boolean | true | Fetch full detail page per listing (company, full description, exact salary) |
| `skipReposts` | boolean | false | Skip jobs seen in previous runs (90-day memory) |
| `daysOld` | integer | โ | Only return jobs posted within this many days (requires `fetchDetails`) |
| `startUrls` | array | โ | Specific TheLadders job or search URLs to scrape directly |
---
### Output schema
#### Always present
| Field | Type | Description |
|-------|------|-------------|
| `id` | string | Unique numeric TheLadders job ID |
| `url` | string | Full URL to the job listing |
| `title` | string | Job title |
| `locationText` | string | Location as displayed on the listing card |
| `salaryText` | string | Salary range as shown, e.g. `$150K โ $200K *` |
| `remoteType` | string | Work arrangement: `In-Person`, `Remote`, or `Hybrid` |
| `experienceLevel` | string | Experience requirement label, e.g. `Less than 5 years exp.` |
| `industry` | string | Industry category shown on listing card |
| `postedDateRelative` | string | Relative posting date, e.g. `2 days ago`, `Today` |
| `publishDate` | string | Estimated posting date in `YYYY-MM-DD` format |
| `publishDateISO` | string | Posting date as ISO 8601 timestamp |
| `descriptionSnippet` | string | Short description excerpt from the listing card |
| `isRepost` | boolean | Whether this job was seen in a previous run |
| `originalPublishDate` | string | First-seen date if `isRepost` is true |
| `originalUrl` | string | Original URL if `isRepost` is true |
| `contentHash` | string | 16-character MD5 hash of key fields for change detection |
| `source` | string | Always `theladders.com` |
| `scrapedAt` | string | Timestamp of when this record was scraped |
#### With `fetchDetails: true` (additional fields)
| Field | Type | Description |
|-------|------|-------------|
| `companyName` | string | Hiring company name (null if not disclosed) |
| `city` | string | City from job location |
| `state` | string | US state abbreviation, e.g. `NY` |
| `country` | string | Country code, e.g. `US` |
| `postalCode` | string | Postal code (null if not provided) |
| `latitude` | number | Latitude coordinate |
| `longitude` | number | Longitude coordinate |
| `salaryMin` | number | Minimum annual salary in USD (null if not disclosed) |
| `salaryMax` | number | Maximum annual salary in USD (null if not disclosed) |
| `salaryCurrency` | string | Always `USD` |
| `salaryPeriod` | string | Always `YEAR` |
| `employmentType` | string | Employment type, e.g. `FULL_TIME` |
| `experienceMonths` | number | Minimum experience in months |
| `datePosted` | string | Exact posting date in `YYYY-MM-DD` format |
| `validThrough` | string | Listing expiry date in `YYYY-MM-DD` format |
| `descriptionHtml` | string | Full job description as HTML |
| `descriptionText` | string | Full job description as plain text |
| `descriptionMarkdown` | string | Full job description as Markdown |
#### JSON example
```json
{
"id": "86532672",
"url": "https://www.theladders.com/job/software-engineer-current-new-york-ny_86532672",
"title": "Software Engineer",
"companyName": "Current",
"locationText": "New York, NY (New York County)",
"city": "New York",
"state": "NY",
"country": "US",
"postalCode": "10025",
"latitude": 40.7983,
"longitude": -73.9632,
"salaryText": "$150K โ $200K *",
"salaryMin": 150000,
"salaryMax": 200000,
"salaryCurrency": "USD",
"salaryPeriod": "YEAR",
"employmentType": "FULL_TIME",
"industry": "Information Technology",
"remoteType": "In-Person",
"experienceLevel": "Less than 5 years exp.",
"experienceMonths": 12,
"datePosted": "2026-04-17",
"validThrough": "2027-04-12",
"postedDateRelative": "1 week ago",
"publishDate": "2026-04-17",
"publishDateISO": "2026-04-17T03:03:28.000Z",
"descriptionSnippet": "We are looking for a Software Engineer to join our team in New York...",
"descriptionHtml": "SOFTWARE ENGINEER
...
",
"descriptionText": "SOFTWARE ENGINEER We are looking for a Software Engineer...",
"descriptionMarkdown": "### SOFTWARE ENGINEER\n\nWe are looking for a Software Engineer...",
"isRepost": false,
"originalPublishDate": null,
"originalUrl": null,
"contentHash": "a3f7c92b18e04d51",
"source": "theladders.com",
"scrapedAt": "2026-04-26T10:30:00.000Z"
}
````
***
### Examples
**Search for software engineering roles in New York:**
```json
{
"keywords": "software engineer",
"location": "New York",
"maxItems": 100,
"fetchDetails": true
}
```
**Search for remote executive roles:**
```json
{
"keywords": "vice president",
"location": "Remote",
"maxItems": 50,
"fetchDetails": true
}
```
**Scrape specific job URLs directly:**
```json
{
"startUrls": [
{ "url": "https://www.theladders.com/job/software-engineer-current-new-york-ny_86532672" },
{ "url": "https://www.theladders.com/jobs/product-manager-jobs" }
],
"fetchDetails": true
}
```
**Daily feed โ new listings only (schedule for daily runs):**
```json
{
"keywords": "data scientist",
"maxItems": 200,
"fetchDetails": true,
"skipReposts": true,
"daysOld": 1
}
```
***
### ๐ฐ Pricing
**$1.49 per 1,000 results** โ you only pay for successfully retrieved listings. Failed retries and filtered reposts are never charged.
| Results | Cost |
|---------|------|
| 100 | ~$0.15 |
| 1,000 | ~$1.49 |
| 10,000 | ~$14.90 |
| 100,000 | ~$149.00 |
> Flat-rate alternatives typically charge $29โ$49/month regardless of usage.
Use the **Max results** cap in the input to control your spend exactly.
***
### Performance
| Run size | Approx. time |
|----------|-------------|
| 100 jobs (no details) | ~30 seconds |
| 100 jobs (with details) | ~3 minutes |
| 500 jobs (with details) | ~15 minutes |
***
### Known limitations
- TheLadders requires a free account to view full job details on the website; scraped data comes from structured metadata and does not require login.
- Location filtering is approximate โ results for a given location may include nearby areas.
- Salary data is shown as a range and may be marked as estimated by TheLadders (indicated by `*` in the display).
- Maximum ~300 results per keyword search (12 pages ร 25 jobs).
- The `daysOld` filter requires `fetchDetails: true` for accurate date comparison.
***
### Technical details
- **Source:** theladders.com โ US professional job board focused on $80K+ roles
- **Memory:** 512 MB
- **Repost storage:** KeyValueStore `theladders-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 โ we build on request.
***
*Part of the [Unfenced Group](https://apify.com/unfenced-group) job board scraper portfolio โ 60+ job markets covered.*\
*Built by [unfenced-group](https://apify.com/unfenced-group) ยท Issues? Open a ticket or send a message.*
# Actor input Schema
## `keywords` (type: `string`):
Job search keywords, e.g. 'software engineer', 'marketing manager', 'data analyst'.
## `location` (type: `string`):
City, state, or region to filter results by, e.g. 'New York', 'Chicago', 'Texas'. Leave empty for all locations.
## `maxItems` (type: `integer`):
Maximum number of job listings to return.
## `maxPages` (type: `integer`):
Maximum number of search result pages to crawl (25 jobs per page, max 12 pages per search).
## `fetchDetails` (type: `boolean`):
Fetch the full job detail page for each listing. Provides company name, full description, precise salary range, and exact posting date. Adds one extra request per job.
## `skipReposts` (type: `boolean`):
Skip jobs already seen in previous runs (cross-run deduplication with 90-day memory).
## `daysOld` (type: `integer`):
Only return jobs posted within this many days. Requires fetchDetails to be enabled for accurate filtering.
## `startUrls` (type: `array`):
Specific TheLadders.com job or search URLs to scrape directly. Overrides keyword search when provided.
## Actor input object example
```json
{
"keywords": "",
"location": "",
"maxItems": 100,
"maxPages": 10,
"startUrls": []
}
```
# Actor output Schema
## `OUTPUT` (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 = {};
// Run the Actor and wait for it to finish
const run = await client.actor("unfenced-group/theladders-scraper").call(input);
// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`๐พ 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);
});
// ๐ Want to learn more ๐? Go to โ 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 = {}
# Run the Actor and wait for it to finish
run = client.actor("unfenced-group/theladders-scraper").call(run_input=run_input)
# Fetch and print Actor results from the run's dataset (if there are any)
print("๐พ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)
# ๐ Want to learn more ๐? Go to โ https://docs.apify.com/api/client/python/docs/quick-start
```
## CLI example
```bash
echo '{}' |
apify call unfenced-group/theladders-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=unfenced-group/theladders-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "TheLadders.Com Job Scraper",
"description": "Scrape professional job listings from TheLadders.com โ salary ranges, company names, locations, and full descriptions for $80K+ roles. No API key needed.",
"version": "0.0",
"x-build-id": "XDqxiIGdjnGLA4OAj"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/unfenced-group~theladders-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-unfenced-group-theladders-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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~theladders-scraper/runs": {
"post": {
"operationId": "runs-sync-unfenced-group-theladders-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~theladders-scraper/run-sync": {
"post": {
"operationId": "run-sync-unfenced-group-theladders-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
}
},
"components": {
"schemas": {
"inputSchema": {
"type": "object",
"properties": {
"keywords": {
"title": "Keywords",
"type": "string",
"description": "Job search keywords, e.g. 'software engineer', 'marketing manager', 'data analyst'.",
"default": ""
},
"location": {
"title": "Location",
"type": "string",
"description": "City, state, or region to filter results by, e.g. 'New York', 'Chicago', 'Texas'. Leave empty for all locations.",
"default": ""
},
"maxItems": {
"title": "Max results",
"minimum": 1,
"maximum": 500,
"type": "integer",
"description": "Maximum number of job listings to return.",
"default": 100
},
"maxPages": {
"title": "Max pages",
"minimum": 1,
"maximum": 12,
"type": "integer",
"description": "Maximum number of search result pages to crawl (25 jobs per page, max 12 pages per search).",
"default": 10
},
"fetchDetails": {
"title": "Fetch job details",
"type": "boolean",
"description": "Fetch the full job detail page for each listing. Provides company name, full description, precise salary range, and exact posting date. Adds one extra request per job."
},
"skipReposts": {
"title": "Skip reposts",
"type": "boolean",
"description": "Skip jobs already seen in previous runs (cross-run deduplication with 90-day memory)."
},
"daysOld": {
"title": "Max age (days)",
"minimum": 0,
"type": "integer",
"description": "Only return jobs posted within this many days. Requires fetchDetails to be enabled for accurate filtering."
},
"startUrls": {
"title": "Start URLs",
"type": "array",
"description": "Specific TheLadders.com job or search URLs to scrape directly. Overrides keyword search when provided.",
"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
}
}
}
}
}
}
}
}
}
}
```