# Indeed job scraper (`jordan-byte/indeed-job-scraper`) Actor

Extract job listings from Indeed at scale. Get titles, companies, salaries, locations, descriptions, and posting dates in clean JSON/CSV. Search by keyword, location, or job type — no coding required. Fast, reliable, and built to handle pagination and anti-blocking automatically.

- **URL**: https://apify.com/jordan-byte/indeed-job-scraper.md
- **Developed by:** [Jordan Byte](https://apify.com/jordan-byte) (community)
- **Categories:** Lead generation, Automation
- **Stats:** 2 total users, 1 monthly users, 90.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.98 / 1,000 indeed scrapers

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/platform/actors/running/actors-in-store#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

## Indeed Jobs Scraper (Apify Actor)

Scrapes job listings from Indeed by talking directly to Indeed's internal
GraphQL API (the same one Indeed's own mobile app uses) — no headless
browser, so it's fast and cheap to run on Apify's compute units.

### Input

All fields are set from the Actor's input UI (or `INPUT.json` for local
runs) — nothing is hardcoded.

| Field | Type | Default | Notes |
|---|---|---|---|
| `search` | string | — | **Required.** Job title / keywords. |
| `location` | string | `""` | City, state, or zip. Empty = nationwide. |
| `country` | select | `usa` | usa / uk / canada / india / australia / germany / france |
| `distance` | integer | `50` | Search radius in miles. |
| `remote` | boolean | `false` | Remote jobs only. |
| `job_type` | select | (any) | fulltime / parttime / contract / internship |
| `hours_old` | integer | (none) | Only jobs posted within N hours. Overrides `job_type`/`remote` (Indeed API limitation). |
| `results` | integer | `100` | Max jobs to scrape. |
| `offset` | integer | `0` | Skip first N results. |
| `markdown_descriptions` | boolean | `false` | Keep raw HTML descriptions instead of plain text. |
| `proxyConfiguration` | object | Apify Residential proxy | Recommended for larger runs. |

### Output

Each job is pushed as one row to the default dataset with the fields:
`url, title, employer, companyUrl, companyUrlDirect, datePosted,
employmentType, isRemote, description, jobLocation, city, state, country,
salary, salaryMin, salaryMax, salaryCurrency, salaryInterval, applyLink,
logoUrl, companyIndustry, companyNumEmployees, companyRevenue,
companyDescription, emails`.

Download results from the Run's **Dataset** tab as JSON / CSV / Excel /
etc.

### Running locally

```bash
pip install -r requirements.txt
apify run
```

Put your test input in `storage/key_value_stores/default/INPUT.json`, e.g.:

```json
{
  "search": "motorsport",
  "location": "",
  "country": "uk",
  "distance": 50,
  "results": 50
}
```

### Running tests

```bash
pip install -r requirements-dev.txt
pytest test/ -v
```

Tests run against fixtures captured from real Indeed API responses
(`test/fixtures/`), including edge cases seen in production data such as a
null `employer` and jobs with no salary listed.

### Notes

- This relies on an internal, unofficial Indeed API and static API key
  extracted from Indeed's mobile app traffic. Indeed can change or block
  this at any time without notice — there's no SLA.
- For higher volumes, turn on the proxy configuration in the input to
  reduce the chance of rate limiting.
- No database, email, or Slack integrations — this is a clean, stateless
  actor: input in, dataset out, exactly what the Apify platform (and Store
  buyers) expect.

# Actor input Schema

## `search` (type: `string`):

Job title, keywords, or company (e.g. "motorsport", "python developer").

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

City, state, or zip code to search near. Leave empty for a nationwide/no-location search.

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

Which country's Indeed site to search.

## `distance` (type: `integer`):

Search radius around the given location, in miles.

## `remote` (type: `boolean`):

Only return remote jobs.

## `job_type` (type: `string`):

Filter by employment type.

## `hours_old` (type: `integer`):

Only return jobs posted within this many hours. Leave empty for no date filter. Note: Indeed cannot combine a date filter with job\_type/remote filters — if this is set, job\_type and remote are ignored.

## `results` (type: `integer`):

Maximum number of jobs to scrape.

## `offset` (type: `integer`):

Skip this many results before starting to collect (for pagination across runs).

## `markdown_descriptions` (type: `boolean`):

If off, job descriptions are converted to clean plain text. If on, the raw HTML from Indeed is kept.

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

Recommended. Indeed's API is stricter with high volumes without a proxy - Apify residential proxies are recommended for larger runs.

## Actor input object example

```json
{
  "search": "python developer",
  "location": "",
  "country": "usa",
  "distance": 50,
  "remote": false,
  "job_type": "",
  "results": 100,
  "offset": 0,
  "markdown_descriptions": false,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

# 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 = {
    "search": "python developer"
};

// Run the Actor and wait for it to finish
const run = await client.actor("jordan-byte/indeed-job-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 = { "search": "python developer" }

# Run the Actor and wait for it to finish
run = client.actor("jordan-byte/indeed-job-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 '{
  "search": "python developer"
}' |
apify call jordan-byte/indeed-job-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,jordan-byte/indeed-job-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/79Kvw9vACs9l0th4o/builds/za6fwM9RjUFHbehSz/openapi.json