# HigherEdJobs Search Scraper (`jobsapi/higheredjobs-jobs-search-scraper`) Actor

Scrape job listings from HigherEdJobs.com, the leading job board for higher education. Extract job titles, institutions, locations, categories, and descriptions for academic recruitment.

- **URL**: https://apify.com/jobsapi/higheredjobs-jobs-search-scraper.md
- **Developed by:** [Jobs API](https://apify.com/jobsapi) (community)
- **Categories:** Jobs, Automation, Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.99 / 1,000 job details

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

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

## HigherEdJobs Search Scraper

Extract public higher-education job listings from HigherEdJobs and optionally enrich them from canonical detail pages.

HigherEdJobs currently serves an Imperva challenge to ordinary datacenter HTTP clients even though the response status is 200. This Actor uses the public Jina Reader route, validates that the response contains complete source data, and never treats the challenge shell as job data.

### Features

- Strict query, location, item, detail, concurrency, timeout, retry, and proxy inputs.
- One bounded search payload followed by at most `maxDetailItems` detail requests.
- Source-backed location filtering; zero matches never fall back to unrelated locations.
- Listing preservation when an individual detail page fails, with `PARTIAL` diagnostics.
- Rich descriptions, qualifications, application instructions and links when detail pages verify.
- HTTP, retry, reader, proxy, and execution-environment provenance.
- Nonzero zero-record runs after the `OUTPUT` diagnostic summary is saved.

### Local QA

```bash
npm install
npm test
npm run check
apify validate-schema
$env:APIFY_LOCAL_STORAGE_DIR='.apify_storage_search'
apify run --input-file qa-inputs/cloud-search.json --purge
npm run validate:dataset -- .apify_storage_search
```

`includeDetails: false` provides a faster listing-only mode. Apify Proxy is optional; credentials are never logged.

# Actor input Schema

## `query` (type: `string`):

Keywords sent to the public HigherEdJobs search endpoint.

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

Optional city, state, or country filter applied to source listing fields.

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

Maximum source-backed records stored in the dataset.

## `includeDetails` (type: `boolean`):

Enrich selected listings from canonical public detail pages.

## `maxDetailItems` (type: `integer`):

Maximum selected records eligible for detail enrichment.

## `maxConcurrency` (type: `integer`):

Maximum simultaneous detail requests.

## `maxRetries` (type: `integer`):

Retries for reader network failures and transient HTTP statuses.

## `timeoutSecs` (type: `integer`):

Per-request timeout for public reader calls.

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

Optional authorized Apify Proxy configuration.

## Actor input object example

```json
{
  "query": "professor",
  "location": "United States",
  "maxItems": 50,
  "includeDetails": true,
  "maxDetailItems": 25,
  "maxConcurrency": 3,
  "maxRetries": 2,
  "timeoutSecs": 90,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

# Actor output Schema

## `dataset` (type: `string`):

No description

## `summary` (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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("jobsapi/higheredjobs-jobs-search-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 = {}

# Run the Actor and wait for it to finish
run = client.actor("jobsapi/higheredjobs-jobs-search-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 '{}' |
apify call jobsapi/higheredjobs-jobs-search-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,jobsapi/higheredjobs-jobs-search-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/JpvUn0OKJ9qB1wSw3/builds/ibK8hHuA0b5GjBo52/openapi.json