# Jobspresso Remote Jobs Scraper (`muhammadafzal/jobspresso-remote-jobs-scraper`) Actor

Scrape public Jobspresso remote jobs by keyword, location, category, or employment type. Return normalized titles, companies, locations, descriptions, salaries, application URLs, and source links for recruiting and remote-work research.

- **URL**: https://apify.com/muhammadafzal/jobspresso-remote-jobs-scraper.md
- **Developed by:** [Muhammad Afzal](https://apify.com/muhammadafzal) (community)
- **Categories:** Jobs, AI, Automation
- **Stats:** 5 total users, 4 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $3.00 / 1,000 remote job records

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

## Jobspresso Remote Jobs Scraper

Scrape public remote job listings from Jobspresso, including title, company, location, categories, employment type, description, salary metadata, application URL, and source links.

The actor uses Jobspresso’s public job-listing AJAX endpoint for pagination and its public WordPress REST records for details. It does not log in, submit credentials, bypass CAPTCHA/challenges, or fabricate records when a public endpoint is unavailable.

Example input:

```json
{
  "searchQueries": ["software engineer"],
  "locations": ["United States"],
  "jobTypes": ["developer", "ai-data"],
  "maxResults": 20,
  "maxPages": 3,
  "includeDetails": true
}
```

Each dataset item is one job. The actor charges `$0.003` per dataset item under Pay per event, plus normal Apify compute/network usage. The run writes `SUMMARY` and `OUTPUT` diagnostics to the default key-value store.

Job availability, application links, and compensation can change. Verify important details with the employer before applying. Respect Jobspresso’s terms, robots guidance, rate limits, and applicable law.

### What data does Jobspresso Remote Jobs Scraper return?

| Field | Type | Description |
|---|---|---|
| `jobId` | string | Job ID |
| `title` | string | Job title |
| `company` | string or null | Company |
| `companyTagline` | string or null | Company tagline |
| `companyWebsite` | string or null | Company website |
| `location` | string or null | Remote location |
| `remote` | boolean | Remote |
| `jobTypes` | array | Job categories |
| `employmentTypes` | array | Employment types |
| `postedAt` | string or null | Posted at |
| `description` | string or null | Description |
| `salary` | string or null | Salary |
| `applicationUrl` | string or null | Application URL |
| `jobUrl` | string | Jobspresso URL |
| `logoUrl` | string or null | Logo URL |
| `source` | string | Source |
| `searchQuery` | string or null | Search query |
| `scrapedAt` | string | Scraped at |

### Use cases

- Research open roles, employers, locations, and hiring-market trends.
- Supply structured public data to AI, RAG, enrichment, or evaluation workflows.
- Schedule repeatable collection and export results to downstream workflows.
- Run a one-off research job and export the structured result as JSON, CSV, Excel, XML, or RSS from Apify.
- Schedule the same input to monitor changes over time and send completed datasets to a webhook or integration.

### Input

| Field | Type | Description |
|---|---|---|
| `searchQueries` | array | Keywords, job titles, or company names to search on Jobspresso. Defaults to all jobs. |
| `locations` | array | Remote eligibility locations such as United States, Canada, or Europe. Defaults to all locations. |
| `jobTypes` | array | Jobspresso categories: ai-data, designer, developer, marketing, various, product-mgmt, sales, support, writing. |
| `employmentTypes` | array | Optional employment filters: full-time, part-time, contract, freelance, internship. |
| `startUrls` | array | Optional public Jobspresso archive URLs. Query parameters search\_keywords and search\_location are used when present; otherwise the actor uses the all-jobs search. |
| `maxResults` | integer | Maximum unique jobs to return, from 1 to 200. |
| `maxPages` | integer | Maximum Jobspresso result pages to request for each search, from 1 to 20. |
| `includeDetails` | boolean | Fetch the public WordPress REST record for description, salary, company, and application fields. Defaults to true. |
| `maxRequestRetries` | integer | Retries for temporary public endpoint failures, from 0 to 5. |

### Output example

```json
{
  "jobId": "Example Job ID",
  "title": "Example Job title",
  "company": "Example Company",
  "companyTagline": "Example Company tagline",
  "companyWebsite": "Example Company website",
  "location": "Example Remote location",
  "remote": false,
  "jobTypes": [],
  "employmentTypes": [],
  "postedAt": "Example Posted at",
  "description": "Example Description",
  "salary": "Example Salary"
}
```

The exact fields depend on the selected input and what the public source exposes. Use the dataset schema as the machine-readable contract and retain source URLs for verification.

### Run Jobspresso Remote Jobs Scraper with the Apify API

```javascript
import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('muhammadafzal/jobspresso-remote-jobs-scraper').call({
  "searchQueries": [
    ""
  ],
  "locations": [
    ""
  ],
  "jobTypes": [
    "ai-data",
    "designer",
    "developer",
    "marketing",
    "various",
    "product-mgmt",
    "sales",
    "support",
    "writing"
  ],
  "employmentTypes": [],
  "startUrls": [],
  "maxResults": 20,
  "maxPages": 3,
  "includeDetails": true
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);
```

You can also run the Actor from Apify Console, schedules, webhooks, the REST API, Make, Zapier, n8n, or the hosted Apify MCP server.

### Pricing and cost control

This Actor uses **pay-per-event** pricing. Charges follow the live event definitions shown below.

| Event | Price (USD) | When it is charged |
|---|---:|---|
| `apify-actor-start` | $0.00005 | Charged when the Actor starts running. Number of events charged depends on Actor memory (one event per GB, minimum one event). |
| `apify-default-dataset-item` | $0.003 | One normalized public Jobspresso remote job written to the default dataset. |

For example, 100 `apify-default-dataset-item` events cost **$0.3**, plus any enabled Actor-start event. Empty or failed work should be checked in the run log and dataset before reuse.

### Reliability and limitations

Public websites and upstream APIs change over time. Start with a small result limit, inspect the dataset and run log, and keep a known-good input for scheduled canary runs. A valid query can return no records when the source has no matches. If a run is blocked, rate-limited, or missing an expected field, reduce concurrency or scope where the input supports it and include the run ID in a support report.

The Actor does not guarantee that every optional field is present on every record. Treat absent values as unavailable from that source response, not as proof that the real-world value does not exist.

### Responsible use

Use this Actor only for data you are authorized to access. Follow the target website's terms, robots and access policies, and applicable privacy, database, copyright, anti-spam, and data-protection laws. Do not use it to bypass authentication or other access controls, collect private data, harass people, or make high-impact decisions without independent verification.

# Actor input Schema

## `searchQueries` (type: `array`):

Keywords, job titles, or company names to search on Jobspresso. Defaults to all jobs.

## `locations` (type: `array`):

Remote eligibility locations such as United States, Canada, or Europe. Defaults to all locations.

## `jobTypes` (type: `array`):

Jobspresso categories: ai-data, designer, developer, marketing, various, product-mgmt, sales, support, writing.

## `employmentTypes` (type: `array`):

Optional employment filters: full-time, part-time, contract, freelance, internship.

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

Optional public Jobspresso archive URLs. Query parameters search\_keywords and search\_location are used when present; otherwise the actor uses the all-jobs search.

## `maxResults` (type: `integer`):

Maximum unique jobs to return, from 1 to 200.

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

Maximum Jobspresso result pages to request for each search, from 1 to 20.

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

Fetch the public WordPress REST record for description, salary, company, and application fields. Defaults to true.

## `maxRequestRetries` (type: `integer`):

Retries for temporary public endpoint failures, from 0 to 5.

## Actor input object example

```json
{
  "searchQueries": [
    ""
  ],
  "locations": [
    ""
  ],
  "jobTypes": [
    "ai-data",
    "designer",
    "developer",
    "marketing",
    "various",
    "product-mgmt",
    "sales",
    "support",
    "writing"
  ],
  "employmentTypes": [],
  "startUrls": [],
  "maxResults": 20,
  "maxPages": 3,
  "includeDetails": true,
  "maxRequestRetries": 2
}
```

# Actor output Schema

## `results` (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("muhammadafzal/jobspresso-remote-jobs-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("muhammadafzal/jobspresso-remote-jobs-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 muhammadafzal/jobspresso-remote-jobs-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,muhammadafzal/jobspresso-remote-jobs-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/r5pTbBQ4PHAJse0In/builds/NCOe16Q0slV5vccqV/openapi.json