# Indeed Jobs Scraper (`plumblinedata/indeed-jobs-scraper`) Actor

Indeed jobs by keyword and location with the full job description: title, company, salary range, remote flag, post time, and job type.

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

## Pricing

from $3.00 / 1,000 job results

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

Indeed jobs by keyword and location with the full job description: title, company, salary range, remote flag, post time, and job type.

For recruiters, sales teams, and labor-market analysts. Every run tells you plainly what worked and what did not: no silent empty runs.

### What you can do with it

- **Salary benchmarks:** compare `salaryMin` and `salaryMax` by role and city.
- **Hiring signals for sales:** find companies that hire for roles you sell to.
- **Job boards and alerts:** collect fresh jobs with `postedAt` and the full `description`.
- **Skills and AI analysis:** feed full descriptions to an LLM to pull out skills, tools, and seniority.

### What you get

| Field | What it is | Example |
| --- | --- | --- |
| `query` | The search term that produced this row. | software engineer |
| `type` | job or error. | job |
| `position` | 1-based rank in this Actor's list. | 1 |
| `page` | Indeed results page number. | 1 |
| `jobKey` | Indeed's unique job ID (the jk value in job URLs). | ed122c1dbea59545 |
| `title` | Job title. | FDE – Security Scan Agent Engineer |
| `url` | Clean job page URL (https://www.indeed.com/viewjob?jk=…). | https://www.indeed.com/viewjob?jk=ed122c1dbea59545 |
| `company` | Employer name when present. | Eclerx |
| `companyRating` | Company star rating on Indeed, when the company has reviews. | 3.6 |
| `companyReviewCount` | Number of company reviews on Indeed. | 1249 |
| `companyLogo` | Company logo image URL from the job page. | https://d2q79iu7y748jz.cloudfront.net/s/\_squarelogo/256x256/46f424383… |
| `location` | City, region, or remote as shown on the listing. | Austin, TX |
| `isRemote` | True when Indeed marks the job as remote. | false |
| `salaryText` | Salary text exactly as the listing shows it. Null when the listing shows no salary. | Up to $180,000 a year |
| `salaryMin` | Lower bound of the posted salary, as a number. | 220100 |
| `salaryMax` | Upper bound of the posted salary, as a number. | 180000 |
| `salaryPeriod` | year, month, week, day, or hour. | year |
| `salaryCurrency` | ISO currency code of the salary. | USD |
| `jobTypes` | Employment types when present, e.g. FULL_TIME. | \[Full-time] |
| `postedAt` | When the job was posted on Indeed (the date behind postedText), ISO 8601 UTC. | 2026-10-26T11:43:00Z |
| `postedText` | Relative post time as Indeed shows it. | Just posted |
| `expiresAt` | When the posting is set to close, ISO 8601 UTC, when the employer set one. | 2027-02-23T14:12:09Z |
| `postedDate` | Fallback only: date text when the structured job data is missing. Prefer postedAt. |  |
| `snippet` | Short job summary from the search card, as plain text. | Extend the scan agent beyond its current coverage into software compo… |
| `description` | The full job description as plain text, with paragraphs and bullets on their own lines. Null if the job page could not be loaded. | FDE – Security Scan Agent Engineer Location: Austin, TX Type: Fixed T… |
| `isUrgentlyHiring` | True when the listing has Indeed's Urgently hiring badge. | false |
| `isEasyApply` | True when you can apply with Indeed Apply. | false |
| `isSponsored` | True for paid (sponsored) job placements. | false |
| `searchLocation` | Location filter you submitted. | Austin, TX |

Examples come from a real run. Every row has every field; a value the page did not show is `null`, never guessed.

One query gave about 40 jobs on page 1 in our tests. Use **Date posted**, **Sort by**, and **Distance from location** to narrow them.

### How to use it

1. Click **Try for free** (or **Start**) on this page.
2. Enter one search query per line in the first field. The form is prefilled with a working example.
3. Optional: set **Max results** and the other options.
4. Click **Start**. Open the **Output** tab, or export JSON, CSV, Excel, or HTML.

#### Example input

```json
{
  "queries": [
    "software engineer"
  ],
  "location": "Austin, TX",
  "radius": 25,
  "postedWithin": "7",
  "sortBy": "date",
  "maxResults": 10
}
```

#### Example output

One real row from a run on 26 October 2026 (long values shortened here):

```json
{
  "query": "software engineer",
  "type": "job",
  "position": 3,
  "page": 1,
  "jobKey": "c0a49e883f942913",
  "title": "Sr. Software Development Manager, AWS OpenSearch Service",
  "url": "https://www.indeed.com/viewjob?jk=c0a49e883f942913",
  "company": "Amazon Development Center U.S., Inc.",
  "companyRating": 3.4,
  "companyReviewCount": 647,
  "companyLogo": "https://d2q79iu7y748jz.cloudfront.net/s/_squarelogo/256x256/744e8603d216350c9c1d21837f2ed7a6",
  "location": "Austin, TX",
  "isRemote": false,
  "salaryText": "$220,100 - $297,700 a year",
  "salaryMin": 220100,
  "salaryMax": 297700,
  "salaryPeriod": "year",
  "salaryCurrency": "USD",
  "jobTypes": [
    "Full-time"
  ],
  "postedAt": "2026-10-23T21:51:58Z",
  "postedText": "2 days ago",
  "expiresAt": "2027-02-23T14:12:08Z",
  "postedDate": null,
  "snippet": "10+ years of planning, designing, developing and delivering consumer software experience. Your Amazon package will include sign-on payments and restricted st…",
  "description": "DESCRIPTION\nSearch and analytics infrastructure is at an inflection point. Customers don't want to operate clusters anymore — they want to create a collectio…",
  "isUrgentlyHiring": false,
  "isEasyApply": false,
  "isSponsored": false,
  "searchLocation": "Austin, TX"
}
```

### Pricing

Pay per result: **$3.00 per 1,000 rows**, plus **$0.001** per run start. No subscription.

| Event | When | Price |
| --- | --- | --- |
| Actor start | Once per run (per GB of memory; the default 256 MB counts as one) | $0.001 |
| Result row | Each row saved to the dataset | $0.003 |

| Example | Rows | Cost |
| --- | --- | --- |
| 10 jobs | 10 | $0.001 + $0.03 = **$0.031** |
| 100 jobs | 100 | $0.001 + $0.30 = **$0.301** |
| 1,000 jobs | 1,000 | $0.001 + $3.00 = **$3.001** |

- Retries after a bot check or a temporary error cost you nothing. You pay only for rows saved.
- An input that fails after all retries saves one error row (one row charge), so you can see what failed and why.
- On Apify's free plan a run stops at 20 rows. Any paid Apify plan removes this limit.
- Set **Max total charge per run** in the run options. The Actor stops cleanly at that limit and keeps every row saved so far.

### What you can count on

- **Same columns on every row.** Missing values are `null`, so spreadsheets and databases never break.
- **No silent failures.** An input that fails gets an error row with `errorCode` and a plain-language `errorMessage`. The other inputs keep running.
- **A clear run summary.** The run status says how many results were saved, how many inputs failed, and why. The same numbers are saved as the `RUN_SUMMARY` record in the run's key-value store, for automations.
- **Automatic retries.** Bot checks and temporary errors are retried with a fresh request before an input counts as failed.
- **Limits respected.** **Max results** and your spending limit stop the run cleanly.

### Use it from code, automations, and AI agents

**API** (returns the rows when the run finishes):

```bash
curl -X POST "https://api.apify.com/v2/acts/plumblinedata~indeed-jobs-scraper/run-sync-get-dataset-items?token=YOUR_API_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"queries": ["software engineer"], "location": "Austin, TX", "radius": 25, "postedWithin": "7", "sortBy": "date", "maxResults": 10}'
```

**Python** (`pip install apify-client`):

```python
from apify_client import ApifyClient

client = ApifyClient("YOUR_API_TOKEN")
run = client.actor("plumblinedata/indeed-jobs-scraper").call(run_input={"queries": ["software engineer"], "location": "Austin, TX", "radius": 25, "postedWithin": "7", "sortBy": "date", "maxResults": 10})
for row in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(row)
```

**JavaScript** (`npm install apify-client`):

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

const client = new ApifyClient({ token: 'YOUR_API_TOKEN' });
const run = await client.actor('plumblinedata/indeed-jobs-scraper').call({"queries": ["software engineer"], "location": "Austin, TX", "radius": 25, "postedWithin": "7", "sortBy": "date", "maxResults": 10});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
```

**No-code:** connect the Actor in Make, Zapier, n8n, or Google Sheets through Apify's integrations, or add a webhook to get notified when a run finishes.

**AI agents (MCP):** add `https://mcp.apify.com?tools=plumblinedata/indeed-jobs-scraper` to Claude, Cursor, or any MCP client. The agent can call this Actor as a tool with the same input as above.

### Limitations

- `description` is null in the rare case a job page could not be loaded; the rest of the row is still filled.
- Salary is empty when the listing shows none.
- About 40 jobs per search query: Indeed blocks later result pages for visitors who are not signed in.

### FAQ

**How do I get more than 40 jobs?**
Split the search: add more specific queries (one per line), run several locations, or use **Date posted** to collect new jobs every day on a schedule.

**What does an error row mean?**
It marks an input that failed after retries. `errorCode` is short (`blocked`, `empty_result`, `not_available`, `http_404`, or `invalid_...` for a bad ID or URL) and `errorMessage` says what to do. Remove error rows with a filter on `type`.

**Can I run it on a schedule?**
Yes. Create a task with your input in Apify Console, then add a schedule (for example every day at 8:00).

**Is it legal to collect this data?**
The Actor reads public pages that anyone can open without logging in. You are responsible for how you use the data, including copyright, personal data rules such as GDPR, and the site's terms. If you are not sure, ask a lawyer.

### Related Actors

- [Google Search Scraper](https://apify.com/plumblinedata/google-search-scraper): Google search results as rows.

### Support

Found a problem or need a field? Open an issue on the **Issues** tab. Include the run ID and one input that shows the problem. We read every issue.

# Changelog

This Actor's version history is a separate document: https://apify.com/plumblinedata/indeed-jobs-scraper/changelog.md

# Actor input Schema

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

One job keyword or title per line, e.g. software engineer.

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

Optional city, state, country, or remote. Example: Austin, TX.

## `radius` (type: `integer`):

Only jobs within this many miles of **Location**. Leave empty for Indeed's default (25 miles).

## `postedWithin` (type: `string`):

Only jobs posted on Indeed within this period.

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

Indeed's order: most relevant first, or newest first.

## `geoLocation` (type: `string`):

Country Indeed is opened from. Indeed shows jobs and salaries for that country's site. Default: `United States`.

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

Stop after this many dataset rows across every query. Leave empty to keep every job.

## Actor input object example

```json
{
  "queries": [
    "software engineer"
  ],
  "location": "United States",
  "postedWithin": "any",
  "sortBy": "relevance"
}
```

# Actor output Schema

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

Dataset of flattened Indeed job listings.

# 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": [
        "software engineer"
    ],
    "location": "United States"
};

// Run the Actor and wait for it to finish
const run = await client.actor("plumblinedata/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": ["software engineer"],
    "location": "United States",
}

# Run the Actor and wait for it to finish
run = client.actor("plumblinedata/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": [
    "software engineer"
  ],
  "location": "United States"
}' |
apify call plumblinedata/indeed-jobs-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,plumblinedata/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/QcpkGzmSkT4jsVFoo/builds/jZHqEbLBPgMzqJGbl/openapi.json