# SimplyHired Scraper (`scrappy_mammal/simplyhired-scraper`) Actor
Extract job listings from SimplyHired with ease! This Apify actor automates job data collection, delivering structured results for recruitment, research, and SEO optimization. Perfect for HR teams, analysts, and job market insights seekers.
- **URL**: https://apify.com/scrappy\_mammal/simplyhired-scraper.md
- **Developed by:** [Scrappy Mammal](https://apify.com/scrappy_mammal) (community)
- **Categories:** Jobs, Automation, SEO tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks
- **User rating**: No ratings yet
## Pricing
Pay per usage
This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have.
Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage
## 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
## SimplyHired Jobs Scraper
Extract job listings from SimplyHired quickly and reliably for research, monitoring, and hiring intelligence. Collect structured job data including company details, salary information, and full long-form job descriptions. Designed for repeatable, automated collection at scale.
### Features
- **Comprehensive job extraction** — Collect titles, companies, locations, salary, and metadata.
- **Long-form descriptions** — Capture full plain-text and HTML descriptions for deeper analysis.
- **Automatic pagination** — Continue collection across search pages until your target is reached.
- **Flexible inputs** — Run by keyword/location or provide direct search URLs.
- **Duplicate-resistant output** — Save unique jobs using stable identifiers.
- **Automation-ready datasets** — Use output in recurring workflows and reporting pipelines.
### Use Cases
#### Hiring Market Analysis
Track demand across locations and roles over time. Build datasets to monitor where hiring is rising and which positions are most active.
#### Lead Generation
Find companies actively hiring in your target segment. Use hiring activity as a strong outreach and prioritization signal.
#### Job Intelligence Dashboards
Create dashboards, alerts, and trend reports powered by fresh job data. Keep internal teams updated with scheduled collections.
#### Skills and Compensation Research
Analyze requirements, salary text, and job types to identify in-demand skills and market expectations.
---
### Input Parameters
| Parameter | Type | Required | Default | Description |
|-----------|------|----------|---------|-------------|
| `startUrls` | Array | No | — | One or more SimplyHired search URLs. If provided, these are used directly. |
| `keyword` | String | No | `software engineer` | Search keyword (for example, `data engineer`). |
| `location` | String | No | `USA` | Location filter (for example, `Remote`, `New York, NY`). |
| `results_wanted` | Integer | No | `20` | Maximum number of jobs to collect. |
| `max_pages` | Integer | No | `250` | Hard cap for pagination pages to visit. |
| `proxyConfiguration` | Object | No | Residential proxy preset | Proxy settings for reliable collection. |
---
### Output Data
Each dataset item can contain:
| Field | Type | Description |
|-------|------|-------------|
| `job_key` | String | Unique job identifier. |
| `title` | String | Job title. |
| `company` | String | Hiring company name. |
| `location` | String | Job location. |
| `salary` | String | Salary text when available. |
| `job_type` | String | Employment type details when available. |
| `description_text` | String | Full long-form job description in plain text. |
| `description_html` | String | Full long-form job description in HTML format. |
| `snippet` | String | Short preview text from search results. |
| `summary` | String | Short listing summary. |
| `requirements` | Array | Requirement keywords from listing metadata. |
| `skills` | Array | Skill and metadata terms normalized for analysis. |
| `benefits` | Array | Benefit keywords when available. |
| `remote_attributes` | Array | Remote or hybrid attributes when available. |
| `sponsored` | Boolean | Whether the listing is sponsored. |
| `company_rating` | Number | Company rating when provided. |
| `date_posted` | String | Posting date timestamp. |
| `url` | String | Direct job URL. |
| `company_page_url` | String | Company page URL when available. |
| `source_search_url` | String | Search URL used to discover the listing. |
| `source` | String | Data source label. |
| `scraped_at` | String | Extraction timestamp. |
---
### Usage Examples
#### Basic Search
Collect 50 software engineering jobs in the US:
```json
{
"keyword": "software engineer",
"location": "USA",
"results_wanted": 50,
"max_pages": 30
}
````
#### Direct Search URL
Run from a specific SimplyHired search page:
```json
{
"startUrls": [
{ "url": "https://www.simplyhired.com/search?q=data+engineer&l=Remote" }
],
"results_wanted": 100,
"max_pages": 60
}
```
#### Larger Collection
Collect a larger dataset for analysis:
```json
{
"keyword": "product manager",
"location": "United States",
"results_wanted": 500,
"max_pages": 250,
"proxyConfiguration": {
"useApifyProxy": true,
"apifyProxyGroups": ["RESIDENTIAL"]
}
}
```
***
### Sample Output
```json
{
"job_key": "abcd1234example",
"title": "Senior Software Engineer",
"company": "Example Technologies",
"location": "Remote",
"salary": "$140,000 - $180,000 a year",
"job_type": "Full-time",
"description_text": "Full long-form job description text...",
"description_html": "Full long-form job description HTML...
",
"snippet": "Short listing preview...",
"requirements": ["Python", "AWS", "API design"],
"benefits": ["Health insurance", "401(k)"],
"sponsored": false,
"company_rating": 4.2,
"date_posted": "2026-02-13T10:40:34.160Z",
"url": "https://www.simplyhired.com/job/example",
"source": "SimplyHired",
"scraped_at": "2026-02-13T10:40:34.160Z"
}
```
***
### Tips for Best Results
#### Start With Small Runs
- Begin with `results_wanted: 20` to validate the query.
- Increase limits after confirming output quality.
#### Use Clear Search Terms
- Specific keywords produce cleaner datasets.
- Add location constraints to reduce noise when needed.
#### Tune Pagination Deliberately
- Keep `max_pages` high enough for larger targets.
- Lower `max_pages` for faster exploratory runs.
#### Use Reliable Proxy Settings
- Residential proxies improve consistency for repeated runs.
- Keep proxy settings enabled for scheduled workloads.
***
### Integrations
Connect your data with:
- **Google Sheets** — Share job insights with teams.
- **Airtable** — Build searchable job and company datasets.
- **Make** — Trigger no-code automations from new runs.
- **Zapier** — Route results into business tools.
- **Webhooks** — Send run results to your own endpoints.
#### Export Formats
- **JSON** — API and application workflows.
- **CSV** — Spreadsheet and BI analysis.
- **Excel** — Business reporting and sharing.
- **XML** — System interoperability where needed.
***
### Frequently Asked Questions
#### How many jobs can I collect?
Set `results_wanted` based on your needs. The actor collects until it reaches your target or your pagination limit.
#### Does output include long-form descriptions?
Yes. Each item includes `description_text` and `description_html` when available.
#### Can I use multiple start URLs in one run?
Yes. Add multiple entries in `startUrls` and they will be processed in sequence.
#### Why are some fields empty?
Some listings do not publish every attribute, such as salary or benefits. Empty values reflect source availability.
#### Does it reduce duplicates?
Yes. The actor is designed to reduce duplicates using stable job identifiers.
#### Is it suitable for scheduled monitoring?
Yes. It works well with recurring runs and automated dataset processing.
***
### Support
For issues or feature requests, use the Apify Console support channels.
#### Resources
- [Apify Documentation](https://docs.apify.com/)
- [Apify API Reference](https://docs.apify.com/api/v2)
- [Apify Scheduling](https://docs.apify.com/platform/schedules)
***
### Legal Notice
This actor is intended for legitimate data collection and analysis. You are responsible for complying with website terms, local laws, and data-use obligations.
# Actor input Schema
## `startUrls` (type: `array`):
List of SimplyHired search URLs to scrape. If provided, these will be used instead of keyword/location search.
## `keyword` (type: `string`):
Job search keyword (e.g., 'software engineer', 'data scientist', 'nurse').
## `location` (type: `string`):
Geographic location for job search (e.g., 'New York, NY', 'Los Angeles', 'Remote').
## `results_wanted` (type: `integer`):
Maximum number of job listings to collect.
## `max_pages` (type: `integer`):
Maximum number of pagination pages to visit (used as a hard safety cap).
## `proxyConfiguration` (type: `object`):
Proxy settings. Uses Apify Proxy by default. If your selected proxy group is unavailable, the actor will continue without proxy.
## Actor input object example
```json
{
"keyword": "software engineer",
"location": "USA",
"results_wanted": 20,
"max_pages": 250,
"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 '' with your token
const client = new ApifyClient({
token: '',
});
// Prepare Actor input
const input = {
"keyword": "software engineer",
"location": "USA",
"results_wanted": 20,
"max_pages": 250
};
// Run the Actor and wait for it to finish
const run = await client.actor("scrappy_mammal/simplyhired-scraper").call(input);
// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
console.dir(item);
});
// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs
```
## Python example
```python
from apify_client import ApifyClient
# Initialize the ApifyClient with your Apify API token
# Replace '' with your token.
client = ApifyClient("")
# Prepare the Actor input
run_input = {
"keyword": "software engineer",
"location": "USA",
"results_wanted": 20,
"max_pages": 250,
}
# Run the Actor and wait for it to finish
run = client.actor("scrappy_mammal/simplyhired-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 '{
"keyword": "software engineer",
"location": "USA",
"results_wanted": 20,
"max_pages": 250
}' |
apify call scrappy_mammal/simplyhired-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=scrappy_mammal/simplyhired-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "SimplyHired Scraper",
"description": "Extract job listings from SimplyHired with ease! This Apify actor automates job data collection, delivering structured results for recruitment, research, and SEO optimization. Perfect for HR teams, analysts, and job market insights seekers.",
"version": "1.0",
"x-build-id": "EyRh3gs5aNZrjj0TM"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/scrappy_mammal~simplyhired-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-scrappy_mammal-simplyhired-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": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/scrappy_mammal~simplyhired-scraper/runs": {
"post": {
"operationId": "runs-sync-scrappy_mammal-simplyhired-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/scrappy_mammal~simplyhired-scraper/run-sync": {
"post": {
"operationId": "run-sync-scrappy_mammal-simplyhired-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": {
"startUrls": {
"title": "Start URLs",
"type": "array",
"description": "List of SimplyHired search URLs to scrape. If provided, these will be used instead of keyword/location search.",
"items": {
"type": "object",
"required": [
"url"
],
"properties": {
"url": {
"type": "string",
"title": "URL of a web page",
"format": "uri"
}
}
}
},
"keyword": {
"title": "Keyword",
"type": "string",
"description": "Job search keyword (e.g., 'software engineer', 'data scientist', 'nurse')."
},
"location": {
"title": "Location",
"type": "string",
"description": "Geographic location for job search (e.g., 'New York, NY', 'Los Angeles', 'Remote')."
},
"results_wanted": {
"title": "Maximum jobs to scrape",
"minimum": 1,
"maximum": 5000,
"type": "integer",
"description": "Maximum number of job listings to collect.",
"default": 20
},
"max_pages": {
"title": "Maximum pages",
"minimum": 1,
"maximum": 1000,
"type": "integer",
"description": "Maximum number of pagination pages to visit (used as a hard safety cap).",
"default": 250
},
"proxyConfiguration": {
"title": "Proxy configuration",
"type": "object",
"description": "Proxy settings. Uses Apify Proxy by default. If your selected proxy group is unavailable, the actor will continue without proxy.",
"default": {
"useApifyProxy": false
}
}
}
},
"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
}
}
}
}
}
}
}
}
}
}
```