# 💼 Remotive Remote Jobs Intelligence - AI-Scored (`benthepythondev/remotive-jobs-intelligence`) Actor

Extract remote job listings from Remotive with AI opportunity scoring (0-100). Find software engineering, developer, designer, marketing jobs. Filter by category, salary, location, keywords.

- **URL**: https://apify.com/benthepythondev/remotive-jobs-intelligence.md
- **Developed by:** [Ben](https://apify.com/benthepythondev) (community)
- **Categories:** Jobs, AI, Developer tools
- **Stats:** 62 total users, 5 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $14.40 / 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.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## 💼 Remotive Remote Jobs Intelligence — Remote Work Listings with AI Scoring

Extract **remote job listings from Remotive** — software engineering, DevOps, data science,
design, product, marketing, sales and more — as clean, structured data with an **AI opportunity
score (0–100)** on every job. Filter by category, employment type, salary, location and keywords,
then get back title, company, salary range, tags, location requirement and posting date for each
role. No API key and no authentication required. Export to JSON/CSV/Excel, run on a schedule,
call via API, or connect to Make, Zapier or n8n.

### 🌍 What is the Remotive Remote Jobs Intelligence Scraper?

It turns Remotive's live remote-jobs feed into a structured, filtered dataset. Set the
categories, job types, salary floor, locations or keywords you care about (or leave them empty
for everything), choose how many results you want, then Run. The Actor pulls the full Remotive
job board, applies your filters, parses messy salary strings into clean min/max/currency fields,
and ranks each role with a transparent 0–100 opportunity score — so recruiters, job-board
operators and job seekers can surface the best remote roles first instead of scrolling endlessly.

#### What data does it extract?

- **Job title** and **company name** (plus company logo URL)
- **Category** (Software Development, DevOps, Data Science, Design, Product, Marketing, Sales…)
- **Employment type** (`full_time`, `contract`, `freelance`, `part_time`, `internship`)
- **Salary** — original string plus parsed `salary_min`, `salary_max` and `salary_currency`
- **Candidate location requirement** (e.g. USA, Europe, Worldwide)
- **Tags / skills** and the direct application `url`
- **Publication date** (spot fresh postings)
- **Short description** (and optional full description)
- **AI opportunity score (0–100)** ranking each role by quality

### ⬇️ Input

Every field is optional — leave the filters empty to pull all current remote jobs:

| Field | Description |
|-------|-------------|
| `categories` | Filter by job category (Software Development, DevOps / Sysadmin, Data Science, Design, Product, Customer Support, Marketing, Sales, Writing, Finance / Legal, Human Resources, All others) |
| `jobTypes` | Filter by employment type: `full_time`, `contract`, `freelance`, `part_time`, `internship` |
| `keywords` | Keep only jobs containing these words in title, description, company or tags |
| `locations` | Filter by candidate location requirement, e.g. `USA`, `Europe`, `Worldwide` |
| `minSalary` | Minimum salary in USD (0 = no filter) |
| `maxResults` | Maximum jobs to return (1–2000) |
| `includeOpportunityScore` | Add the AI opportunity score (0–100) to each job |
| `includeFullDescription` | Include the complete job description text |

#### Example input

```json
{
  "categories": ["Software Development", "DevOps / Sysadmin"],
  "jobTypes": ["full_time", "contract"],
  "keywords": ["python", "aws"],
  "locations": ["USA"],
  "minSalary": 120000,
  "maxResults": 100,
  "includeOpportunityScore": true,
  "includeFullDescription": false
}
```

### ⬆️ Output

Every job is one clean row (view as a **table**, or export **JSON / CSV / Excel**):

```json
{
  "id": 2077702,
  "title": "Senior Software Engineer - Python",
  "company_name": "TechCorp Remote",
  "company_logo": "https://remotive.com/job/2077702/logo",
  "category": "Software Development",
  "tags": ["python", "backend", "aws"],
  "job_type": "full_time",
  "publication_date": "2026-06-24T04:50:53",
  "location": "USA",
  "salary": "$120k to $160k per year",
  "salary_min": 120000,
  "salary_max": 160000,
  "salary_currency": "USD",
  "url": "https://remotive.com/remote-jobs/software-dev/senior-software-engineer-python-2077702",
  "description_short": "We're seeking a Senior Software Engineer to build and scale our backend services...",
  "opportunity_score": 92
}
```

### 💡 Use cases

- **🧩 Remote job boards & aggregators:** feed a niche board (developers, designers, data roles) with fresh, filtered remote listings and a built-in quality ranking.
- **🎯 Recruitment & talent sourcing:** track who's hiring remotely, benchmark salary ranges, and spot high-opportunity roles before they're crowded.
- **📊 Remote work market research:** analyse demand by category, salary trends and location requirements across the remote job market over time.
- **📧 Job alerts & career tools:** power email digests, Slack/Discord bots or career platforms with personalised, scored remote-job recommendations.

### ❓ FAQ

**How do I get remote software engineering jobs?** Set `categories` to `["Software Development"]`
(optionally add `jobTypes`, a `minSalary` and `keywords` like `python`), then Run. You get every
matching remote role with salary range, location, tags and an opportunity score.

**How does the AI opportunity score work?** It's a transparent 0–100 score combining four
factors: job category (high-demand tech scores higher), salary level (higher max salary = more
points), employment type (full-time ranked highest) and recency (posted today scores best).
Sort by `opportunity_score` to surface the strongest roles first; turn it off with
`includeOpportunityScore: false`.

**Can I filter by salary, location or keyword?** Yes. Use `minSalary` for a USD floor, `locations`
for candidate-location requirements (e.g. `USA`, `Europe`, `Worldwide`), and `keywords` to keep
only jobs mentioning specific skills or technologies in the title, description, company or tags.

**Why are salaries returned as both text and numbers?** Remotive provides salaries as free-text
strings, so the Actor parses them into clean `salary_min`, `salary_max` and `salary_currency`
fields while keeping the original `salary` string — handy for both filtering and display.

**Do I need an API key?** No. The Actor uses Remotive's free public jobs feed, so there's no
authentication or API key to configure — just set your filters and Run.

**How fresh is the data?** Remotive updates its job feed daily and listings are delayed by about
24 hours per Remotive's terms, so you're always working with current openings.

**Do I need to credit Remotive?** Yes. Per Remotive's API terms, if you publicly display these
listings you must link back to Remotive and mention it as the source. Job data is provided by
[Remotive](https://remotive.com), the remote-jobs community.

**Can I run it on a schedule or via API?** Yes — schedule recurring runs in Apify, call it via
the API/SDK, or connect it to Make, Zapier or n8n to push new remote jobs into your stack.

**How many jobs can it return?** Up to your `maxResults` cap (1–2000). Leave the filters empty
to pull the full Remotive board, or narrow them to keep results focused.

**Is this legal?** It uses Remotive's official public jobs feed, which is intended for exactly
this kind of access. Follow Remotive's API terms (link back, credit the source) and applicable
laws when redistributing the data.

### 🔗 You might also like

- **[Remote Jobs Aggregator](https://apify.com/benthepythondev/remote-jobs-aggregator)** — remote jobs aggregated across multiple sources
- **[Jobicy Remote Jobs Intelligence](https://apify.com/benthepythondev/jobicy-remote-jobs-intelligence)** — Jobicy remote jobs with AI scoring
- **[Greenhouse Jobs Scraper](https://apify.com/benthepythondev/greenhouse-jobs-scraper)** — jobs from Greenhouse ATS career pages

***

**Keywords:** remotive scraper, remote jobs api, remote work scraper, remote job listings, software engineer jobs, developer jobs, remote job aggregator, job board data, remote hiring data, salary data, work from home jobs, tech jobs scraper, recruitment data, job alerts, remote jobs intelligence, AI opportunity score, distributed teams, no api key.

# Actor input Schema

## `categories` (type: `array`):

Filter by job categories (leave empty for all)

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

Filter by employment type (leave empty for all)

## `keywords` (type: `array`):

Filter jobs containing these keywords in title, description, or company name (optional)

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

Filter by candidate location requirements (e.g., 'USA', 'Europe', 'Worldwide') (optional)

## `minSalary` (type: `integer`):

Filter jobs with minimum salary greater than or equal to this value (0 = no filter)

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

Maximum number of jobs to return

## `includeOpportunityScore` (type: `boolean`):

Calculate and include AI-powered opportunity score (0-100) based on salary, category, job type, and recency

## `includeFullDescription` (type: `boolean`):

Include complete job description HTML (increases data size)

## Actor input object example

```json
{
  "minSalary": 0,
  "maxResults": 10,
  "includeOpportunityScore": true,
  "includeFullDescription": false
}
```

# 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 = {
    "maxResults": 10
};

// Run the Actor and wait for it to finish
const run = await client.actor("benthepythondev/remotive-jobs-intelligence").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 = { "maxResults": 10 }

# Run the Actor and wait for it to finish
run = client.actor("benthepythondev/remotive-jobs-intelligence").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 '{
  "maxResults": 10
}' |
apify call benthepythondev/remotive-jobs-intelligence --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,benthepythondev/remotive-jobs-intelligence"
        }
    }
}
```

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/gqFfye3vgBC7YMbWY/builds/wVDrz2WFWMeAAm1Pv/openapi.json