# OutdoorIndustryJobs Actor (`tehsnarf/outdoor-industry-jobs`) Actor

Scrapes public OutdoorIndustryJobs listing and detail pages into structured job records.

- **URL**: https://apify.com/tehsnarf/outdoor-industry-jobs.md
- **Developed by:** [Chris Hoover](https://apify.com/tehsnarf) (community)
- **Categories:** Lead generation, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $5.00 / 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 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

## OutdoorIndustryJobs Actor

Scrapes public OutdoorIndustryJobs listing pages and job detail pages into structured records.

### What it extracts

- Job title and employer
- Location fields from the job basics section
- Job category, industry sector, company type, and job type
- Featured marker, posted date, salary, and experience requirements
- Summary plus full job description text
- Listing count and pagination count from search pages

### Use cases

1. Track hiring activity across the outdoor, bike, snow, fishing, and watersports sectors.
2. Monitor featured postings and job-level metadata for competitive-intel workflows.
3. Export niche outdoor-industry jobs into lead lists, newsletters, or research datasets.

### Input

- `startUrls`: one or more public OutdoorIndustryJobs listing or detail URLs
- `maxItems`: cap on total records
- `maxPages`: cap on listing pages followed per run
- `delaySeconds`: pause between requests

### Output fields

| Field | Description |
|---|---|
| `jobTitle` | Job title shown on the page |
| `companyName` | Employer name |
| `companyUrl` | Employer profile URL when visible |
| `location` | Visible location string |
| `city` | City from job basics |
| `state` | State or province from job basics |
| `country` | Country from job basics |
| `jobDetailUrl` | Canonical job detail URL |
| `listingPageUrl` | Listing page URL that led to the record |
| `industrySector` | Industry sector from the job basics block |
| `jobCategories` | Job category or categories |
| `companyType` | Company type |
| `jobType` | Job type |
| `featured` | Whether the listing is marked featured |
| `postedDate` | Visible posted date |
| `summary` | First paragraph from the description block |
| `jobDescription` | Full description and requirements text |
| `salary` | Salary text when visible |
| `requiredExperience` | Required experience when visible |
| `relocateRequired` | Relocation requirement when visible |
| `travelRequired` | Travel requirement when visible |
| `telecommuteAllowed` | Telecommute flag when visible |
| `mustLiveWithinMiles` | Proximity requirement when visible |
| `jobCount` | Total result count shown on the listing page |
| `totalPages` | Pagination page count shown on the listing page |
| `pageRank` | Position of the item on the listing page |
| `sourceUrl` | Exact page URL used for the record |

### Pricing

$5.00 per 1,000 results ($0.005 per result)

### Example costs

100 results = $0.50
500 results = $2.50
1,000 results = $5.00
5,000 results = $25.00

### Example output

```json
{
  "jobTitle": "Support Specialist",
  "companyName": "flaik",
  "location": "Lafayette, CO",
  "city": "Lafayette",
  "state": "CO",
  "country": "Canada, United States",
  "jobDetailUrl": "https://www.outdoorindustryjobs.com/JobDetail/GetJobDetail?jobID=17668",
  "listingPageUrl": "https://www.outdoorindustryjobs.com/JobSearch",
  "industrySector": "Snow",
  "jobCategories": "Customer Service",
  "companyType": "Retail",
  "jobType": "Full Time",
  "featured": true,
  "postedDate": "07/02/2026",
  "summary": "Help the best ski schools in the world get the most out of flaik. Simpler, smarter, better.",
  "salary": "$63,000 - $68,000",
  "requiredExperience": "0 - 1 year",
  "relocateRequired": "Yes",
  "travelRequired": "Yes",
  "telecommuteAllowed": "No",
  "mustLiveWithinMiles": "25 miles",
  "jobCount": 44,
  "totalPages": 4,
  "pageRank": 1,
  "sourceUrl": "https://www.outdoorindustryjobs.com/JobDetail/GetJobDetail?jobID=17668"
}
```

# Actor input Schema

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

Public OutdoorIndustryJobs listing pages or job detail pages to scrape.

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

Maximum number of records to collect.

## `maxPages` (type: `integer`):

Maximum number of listing pages to follow per run.

## `delaySeconds` (type: `number`):

Polite pause between requests, in seconds.

## Actor input object example

```json
{
  "startUrls": [
    {
      "url": "https://www.outdoorindustryjobs.com/JobSearch"
    }
  ],
  "maxItems": 100,
  "maxPages": 4,
  "delaySeconds": 1
}
```

# Actor output Schema

## `results` (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.outdoorindustryjobs.com/JobSearch"
        }
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("tehsnarf/outdoor-industry-jobs").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.outdoorindustryjobs.com/JobSearch" }] }

# Run the Actor and wait for it to finish
run = client.actor("tehsnarf/outdoor-industry-jobs").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 '{
  "startUrls": [
    {
      "url": "https://www.outdoorindustryjobs.com/JobSearch"
    }
  ]
}' |
apify call tehsnarf/outdoor-industry-jobs --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/2kwlogYfrQZX02JPp/builds/eawJseeCVWAuQbQql/openapi.json