# Indeed Jobs Scraper — Salary, Company Rating, Descriptions (`apricot_blackberry/indeed-jobs-scraper`) Actor

Search Indeed in 10 countries and get structured job listings: title, company with rating, location, salary min/max, job type, remote flag, posting date and full description. $0.002 per job, no start fee.

- **URL**: https://apify.com/apricot_blackberry/indeed-jobs-scraper.md
- **Developed by:** [Creator Fusion](https://apify.com/apricot_blackberry) (community)
- **Categories:** Jobs, Lead generation, AI
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$2.00 / 1,000 job listings

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/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

## Indeed Jobs Scraper — Structured Listings with Salary, Company Rating & Descriptions ($2 per 1,000 jobs)

Search Indeed and get every listing as structured JSON: title, company (with rating and review count), location, salary (min/max/period, employer-stated or Indeed-estimated), job types, remote flag, posting date, Easy Apply and sponsored flags, and optionally the full description. Ten country sites, filters for posting age and remote work.

**$0.002 per job**, no start fee. Searches that Indeed blocks are reported in `SUMMARY`, not charged.

### Why this one

- **Structured data, not scraped layout.** Fields come from the JSON Indeed embeds in its own pages, so salary, dates and IDs are exact and stay stable when the page design changes.
- **Gets through Cloudflare.** Pages are fetched with a browser-grade HTTP client first and rendered in a real Chrome when challenged.
- **Cheap and predictable.** $2 per 1,000 jobs, nothing for failures, and a max-total-charge cap you set.

### Output

```json
{
  "id": "db9819d1a1819842",
  "url": "https://www.indeed.com/viewjob?jk=db9819d1a1819842",
  "title": "Junior Software Engineer",
  "company": "Striveworks",
  "companyRating": 4.2,
  "companyReviews": 18,
  "location": "Austin, TX",
  "remote": false,
  "salaryText": "$100,000 - $130,000 a year",
  "salaryMin": 100000,
  "salaryMax": 130000,
  "salaryPeriod": "YEARLY",
  "salaryCurrency": "USD",
  "salarySource": "EXTRACTION",
  "jobTypes": ["Full-time"],
  "snippet": "Since 2018, we have delivered the most trusted AI systems...",
  "postedAt": "2026-09-28T05:00:00.000Z",
  "postedRelative": "7 days ago",
  "easyApply": true,
  "sponsored": false,
  "scrapedAt": "2026-10-06T05:30:00.000Z"
}
```

With `fetchDescriptions: true` each record also carries `description` (plain text) and `descriptionHtml`.

### Input

| Field | Default | Notes |
|---|---|---|
| `queries` | — | One search per term. |
| `location` | — | City, state, postcode or "Remote". |
| `country` | US | US, GB, CA, AU, DE, FR, IN, NL, IE, SG. |
| `maxJobsPerQuery` | 50 | Up to 1,000. |
| `postedWithinDays` | 0 | 1, 3, 7, 14… (0 = any). |
| `remoteOnly` | false | |
| `sortBy` | relevance | or `date`. |
| `fetchDescriptions` | false | Opens each job page; slower. |
| `startUrls` | — | Paste Indeed search URLs with your own filters instead. |
| `callbackUrl` | — | POST a JSON summary when the run finishes. |

### Pricing

| Event | Price |
|---|---|
| `job` | $0.002 |

### Integrations

- **API**: `POST https://api.apify.com/v2/acts/apricot_blackberry~indeed-jobs-scraper/run-sync-get-dataset-items?token=…`
- **MCP**: `https://mcp.apify.com?tools=apricot_blackberry/indeed-jobs-scraper`
- **Webhooks**: `callbackUrl`, or Apify run webhooks for Zapier, Make and n8n.
- **Schedules**: daily runs with `postedWithinDays: 1` give a clean feed of new postings.

# Actor input Schema

## `queries` (type: `array`):

One search per term, e.g. "python developer", "registered nurse".

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

City, state, postcode or "Remote". Leave empty for nationwide.

## `country` (type: `string`):

Indeed site to search.

## `maxJobsPerQuery` (type: `integer`):

Max jobs per search

## `postedWithinDays` (type: `integer`):

0 = any time.

## `remoteOnly` (type: `boolean`):

Only jobs Indeed tags as remote.

## `sortBy` (type: `string`):

Order of results.

## `fetchDescriptions` (type: `boolean`):

Opens each job page for the complete description (slower; same price per job).

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

Alternative to search terms: paste Indeed search result URLs with your own filters.

## `callbackUrl` (type: `string`):

POST a JSON summary here when the run finishes.

## Actor input object example

```json
{
  "queries": [
    "python developer"
  ],
  "location": "Austin, TX",
  "country": "US",
  "maxJobsPerQuery": 50,
  "postedWithinDays": 0,
  "remoteOnly": false,
  "sortBy": "relevance",
  "fetchDescriptions": false
}
```

# Actor output Schema

## `results` (type: `string`):

Dataset with one JSON record per result.

## `summary` (type: `string`):

Counts, failures and notes.

# 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 = {
    "queries": [
        "python developer"
    ],
    "location": "Austin, TX"
};

// Run the Actor and wait for it to finish
const run = await client.actor("apricot_blackberry/indeed-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 = {
    "queries": ["python developer"],
    "location": "Austin, TX",
}

# Run the Actor and wait for it to finish
run = client.actor("apricot_blackberry/indeed-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 '{
  "queries": [
    "python developer"
  ],
  "location": "Austin, TX"
}' |
apify call apricot_blackberry/indeed-jobs-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,apricot_blackberry/indeed-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/AhIUQjxVquUulFzJL/builds/vXot3KSzC52kXdRcN/openapi.json