# Djinni.co Jobs Scraper — Remote Tech Jobs (`muhammadafzal/djinni-co-jobs-scraper`) Actor

Scrape public Djinni.co job listings by keyword, country, city, or saved search URL. Return structured titles, companies, locations, remote status, salary, experience, English level, descriptions, and job URLs for recruiting and labor-market research.

- **URL**: https://apify.com/muhammadafzal/djinni-co-jobs-scraper.md
- **Developed by:** [Muhammad Afzal](https://apify.com/muhammadafzal) (community)
- **Categories:** Lead generation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.00 / 1,000 djinni job returneds

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

## Djinni.co Jobs Scraper — Remote Tech Jobs

Scrape public Djinni.co job listings by keyword, country, city, or saved search URL and return one structured dataset record per unique job. Use it for recruiting, labor-market research, salary analysis, and job-board monitoring.

The Actor supports keyword searches, country/city filters, exact public Djinni search URLs, pagination, optional detail-page enrichment, and additional current Djinni query parameters through `filters`.

### Output

Each job includes its ID, title, canonical URL, company, location, remote indicator, employment type, experience, English level, category, salary text and parsed bounds when available, description, publication time, search query, scrape time, and record status. Missing values remain `null`; compensation is never inferred.

| Field group | Examples |
| --- | --- |
| Identity | `jobId`, `title`, `jobUrl`, `searchQuery` |
| Employer | `company`, `companyUrl`, `category` |
| Role | `location`, `remote`, `employmentType`, `experience`, `englishLevel` |
| Compensation | `salary`, `salaryMin`, `salaryMax` when Djinni discloses it |
| Content | `description`, `publishedAt`, `scrapedAt`, `status` |

### Example input

```json
{
  "searchQueries": ["software engineer", "data analyst"],
  "countries": ["Ukraine", "Poland"],
  "maxResults": 50,
  "includeDetails": true
}
```

For exact Djinni advanced-search filters, pass a public search URL in `startUrls`, or use `filters`, for example `{ "employment": "remote", "exp_level": "3y" }`. The public search page can change its filter vocabulary; `startUrls` is the most stable option for a saved search.

### Pricing

The Actor uses pay per event. The primary event is **$0.002 per unique job record written**; a small automatic start event also applies. A run that is blocked or returns no matching public jobs writes no result records and incurs no result-item events.

Examples: an empty run costs only the automatic start event; a one-job run is approximately `$0.00205` before platform compute; a 100-job run is approximately `$0.20005` before platform compute.

### Responsible use

This Actor accesses only public Djinni.co pages. Use it in compliance with Djinni’s terms, robots guidance, applicable law, and data-protection obligations. It does not log in, access private candidate data, bypass CAPTCHAs, or defeat access controls. If Djinni returns a challenge or empty response, the run records a truthful diagnostic in `SUMMARY`.

### Use cases

- Build public prospect lists and qualify organizations or professionals before responsible outreach.
- 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.
- Feed schema-shaped records into a database, spreadsheet, BI tool, or AI workflow with the source URL retained for verification.

### Run Djinni.co Jobs Scraper — Remote Tech Jobs 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/djinni-co-jobs-scraper').call({
  "searchQueries": [
    "software engineer"
  ],
  "anyWords": "",
  "excludeWords": "",
  "countries": [],
  "cities": [],
  "startUrls": [],
  "filters": {},
  "maxResults": 20
});
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.

### Frequently asked questions

#### Can I schedule Djinni.co Jobs Scraper — Remote Tech Jobs?

Yes. Use an Apify schedule to run the same saved input at a chosen interval, then connect a webhook or integration to process the dataset when the run finishes.

#### How should I test a new input?

Begin with the prefilled example or a small limit. Confirm that the output fields, source coverage, runtime, and live charges match your workflow before increasing the scope.

#### How do I export the results?

Open the run's default dataset in Apify Console and export JSON, CSV, Excel, XML, or RSS. Applications can retrieve the same records through the Apify API client or REST dataset endpoint.

#### Can an AI agent call this Actor?

Yes. Add `muhammadafzal/djinni-co-jobs-scraper` through the hosted Apify MCP server or call it through the API. The Actor's input and dataset schemas help agents construct valid requests and interpret returned records.

### Recommended workflow

1. **Define the smallest useful scope.** Choose a representative public URL, query, identifier, or filter and keep the first result limit low.
2. **Run and inspect.** Check the run log, dataset item count, field coverage, source URLs, and live event or usage charges.
3. **Validate downstream assumptions.** Confirm nullable fields, deduplication keys, timestamps, and any locale-specific formats before importing records into another system.
4. **Scale gradually.** Increase limits or scheduling frequency only after the small run behaves as expected. Use Apify's maximum-cost and timeout controls to bound large jobs.
5. **Monitor changes.** Keep a small known-good input as a canary. If the source layout or API changes, compare the new dataset with a previously validated run and report the run ID when requesting support.

For recurring workflows, store the exact Actor input with your pipeline configuration. This makes runs reproducible and helps distinguish a source-data change from an input change.

# Actor input Schema

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

Use this for one or more Djinni job keywords or titles, for example software engineer. Defaults to software engineer; this is not a detail URL.

## `anyWords` (type: `string`):

Use this for optional Djinni advanced-search terms such as senior fintech. Defaults to empty; this is not a second query list.

## `excludeWords` (type: `string`):

Use this to exclude optional terms such as junior or internship. Defaults to empty; Djinni applies it to the search.

## `countries` (type: `array`):

Use this to filter by country names such as Ukraine or Poland. Defaults to worldwide; use startUrls for an exact saved Djinni filter URL.

## `cities` (type: `array`):

Use this to filter by city names such as Kyiv or Lviv. Defaults to all cities; this is not a country code.

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

Use this for full public https://djinni.co/jobs/ search URLs when you need exact Djinni filters. Defaults to generated searches; detail URLs are not intended here.

## `filters` (type: `object`):

Use this for current Djinni query parameters not exposed above, for example employment=remote or exp\_level=3y. Defaults to empty.

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

Use this to cap total unique jobs returned across all searches. Enter 1 to 200; defaults to 20.

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

Use this to bound pagination for each search. Enter 1 to 20; defaults to 3.

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

Use this to enrich jobs with public detail-page fields. Defaults to true; set false for a faster card-level export.

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

Use this to retry temporary Djinni request failures. Enter 0 to 5; defaults to 2.

## Actor input object example

```json
{
  "searchQueries": [
    "software engineer"
  ],
  "anyWords": "",
  "excludeWords": "",
  "countries": [],
  "cities": [],
  "startUrls": [],
  "filters": {},
  "maxResults": 20,
  "maxPages": 3,
  "includeDetails": true,
  "maxRequestRetries": 2
}
```

# Actor output Schema

## `datasetItems` (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/djinni-co-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/djinni-co-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/djinni-co-jobs-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,muhammadafzal/djinni-co-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/vjwCHe2z2xQBxD0dD/builds/7WGeK7xPPnaVejbWh/openapi.json