# Indeed Job Scraper (`blackfalcondata/indeed-scraper`) Actor
Scrape indeed.com — the world's largest job board with 62 country markets. Salary ranges, company ratings, and incremental change tracking.
- **URL**: https://apify.com/blackfalcondata/indeed-scraper.md
- **Developed by:** [Black Falcon Data](https://apify.com/blackfalcondata) (community)
- **Categories:** Jobs
- **Stats:** 3 total users, 2 monthly users, 47.8% runs succeeded, NaN bookmarks
- **User rating**: No ratings yet
## Pricing
from $2.00 / 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.
Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event
## What's an Apify Actor?
Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
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.
In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md):
```bash
npm install apify-client
```
In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md):
```bash
pip install apify-client
```
In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):
````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash
In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).
If your project is in a different language, use 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
### What does Indeed Job Scraper do?
Indeed Job Scraper extracts structured job data from [indeed.com](https://indeed.com) — including salary data, contact details, company metadata, full descriptions, remote-work indicators, location data, and ratings and reviews. It supports keyword search, location filters, and controllable result limits, so you can run the same query consistently over time. The actor also offers detail enrichment (full descriptions, company profiles, and contact information) where the source provides them, incremental monitoring that only returns new or changed results on recurring runs, and a compact output mode for AI-agent and MCP workflows.
### What data can you extract from indeed.com?
Each result includes Core listing fields (`jobId`, `jobKey`, `title`, `location`, `salaryText`, `salaryMin`, `salaryMax`, and `salaryCurrency`, and more), detail fields when enrichment is enabled (`description`, `descriptionHtml`, `descriptionLength`, `benefits`, and `detailFetched`), contact and apply information (`applyUrl` and `extractedEmails`), and company metadata (`company`, `companyUrl`, `companyRating`, and `companyReviewsCount`). In standard mode, all fields are always present — unavailable data points are returned as `null`, never omitted. In compact mode, only core fields are returned.
Enable detail enrichment in the input to get richer fields such as full descriptions, company profiles, and contact information where the source provides them.
### Input
The main inputs are a search keyword, an optional location filter, and a result limit. Additional filters and options are available in the input schema.
Key parameters:
- **`query`** — Job search keywords. Single string or JSON array for multi-query (e.g. ["software engineer", "data analyst"]). Required unless startUrls is provided.
- **`country`** — Which Indeed domain to search (62 markets). Major markets (US, UK, DE, FR, etc.) are well-tested. Smaller markets are config-supported but listing volume varies. (default: `"US"`)
- **`location`** — City, state, or region to search within. Single string or JSON array for multi-location (e.g. ["New York", "San Francisco"]). Leave empty for nationwide results.
- **`startUrls`** — Direct Indeed search or job detail URLs. Use instead of or alongside query. Accepts search pages (indeed.com/jobs?q=...) and job pages (indeed.com/viewjob?jk=...).
- **`maxResults`** — Maximum total job listings to return across all search sources. (default: `25`)
- **`maxPages`** — Maximum SERP pages to scrape per search source. Each page typically contains 15 results. (default: `5`)
- **`postedDays`** — Only return jobs posted within this many days. Automatically snapped to nearest valid value: 1, 3, 7, or 14.
- **`remoteFilter`** — Filter jobs by remote work availability.
- **`jobType`** — Filter by employment type.
- **`radius`** — Search radius around the specified location. Only applies when location is set. Valid values: 5, 10, 15, 25, 35, 50, 100.
- **`sort`** — Sort results by relevance (default) or by posting date (newest first). (default: `"relevance"`)
- **`includeDetails`** — Fetch each job's detail page for full description, JSON-LD data, requirements, benefits, and hiring signals. Set to false for fast SERP-only scraping. (default: `true`)
- ...and 7 more parameters
#### Input example
```json
{
"query": "software developer",
"country": "US",
"maxResults": 5,
"maxPages": 5,
"sort": "relevance",
"includeDetails": true,
"compact": false,
"includeCompanyProfile": false,
"incrementalMode": false,
"emitUnchanged": false,
"emitExpired": false
}
````
### Output
Each run produces a dataset of structured job records. Results can be downloaded as JSON, CSV, or Excel from the Dataset tab in Apify Console.
#### Example job record
```json
{
"jobId": "ad864c37f1de92dd51c35b37c068a567af70e39d9d31f21aa5fae149011d8ca9",
"jobKey": "2e960a289c9f26d8",
"title": "PHP Developer",
"company": "Upstate Breaker Wholesale Supply",
"companyUrl": "https://www.indeed.com/cmp/Upstate-Breaker-Wholesale-Supply",
"location": "Caledonia, NY, US",
"description": "Job Summary: We are seeking a skilled full-time, in-house Backend Web Developer to join our team and support an established eCommerce website. This role involves developing new features, refactoring l...",
"descriptionHtml": "Job Summary:
\nWe are seeking a skilled full-time, in-house Backend Web Developer to join our team and support an established eCommerce website. This role involves developing new...",
"descriptionLength": 1713,
"salaryText": "From $40 an hour",
"salaryMin": 40,
"salaryMax": 40,
"salaryCurrency": "USD",
"salaryType": "HOUR",
"employmentType": [
"FULL_TIME"
],
"postedDate": "2025-12-19T17:53:24.101Z",
"validThrough": "2026-08-03T14:59:25.678Z",
"canonicalUrl": "https://www.indeed.com/viewjob?jk=2e960a289c9f26d8",
"portalUrl": "https://www.indeed.com",
"applyUrl": null,
"requirements": [],
"benefits": [
"Parental leave",
"401(k)",
"Health insurance",
"401(k) matching",
"Paid time off",
"Dental insurance",
"Flexible spending account",
"Paid holidays"
],
"sourceUrl": "https://www.indeed.com/viewjob?jk=2e960a289c9f26d8&from=vjs&tk=1jlf2cpqjgorq8e5&viewtype=embedded&advn=5278471290086252&adid=454921761&ad=-6NYlbfkN0AgwjCWAeT-kF-KRJ_5JjehDMygVtNzzKPP_DbUM5kYaXKCrVA3T7...",
"sourceCountry": "US",
"sourceDomain": "www.indeed.com",
"searchQuery": "software engineer",
"searchUrl": "https://www.indeed.com/jobs?q=software+engineer&l=New+York",
"isSponsored": true,
"locationCity": "Caledonia",
"locationRegion": "NY",
"locationCountry": "US",
"isRemote": false,
"locationFormatted": "Caledonia, NY 14423",
"companyRating": null,
"companyReviewsCount": null,
"companyLogoUrl": null,
"scrapedAt": "2026-04-05T14:57:45.558Z",
"detailFetched": true,
"contentQuality": "full",
"hiringAge": "30+ days ago",
"isUrgentlyHiring": false,
"numOfCandidates": null,
"isRecurringHire": false,
"jobCountry": "US",
"jobLanguage": "en",
"jobOccupations": [
"5NN53",
"EG6MP",
"EHPW9",
"HJSX6"
],
"extractedEmails": [],
"latitude": 42.969913,
"longitude": -77.85394,
"isRepost": false,
"isLatestPost": true,
"attributes": [],
"jobTypes": [],
"shiftAndSchedule": [],
"workingSystem": [],
"socialInsurance": [],
"companyIndustry": null,
"companyEmployeeRange": null,
"companyEmployeeRangeRaw": null,
"companySectorNames": [],
"companyRevenue": null,
"companyFoundedYear": null,
"companyHeadquarters": null,
"companyWebsite": null,
"companyOpenJobsCount": null,
"companyDescription": null,
"companyCeo": null,
"changeType": null,
"trackedHash": null,
"firstSeenAt": null,
"lastSeenAt": null,
"previousSeenAt": null,
"expiredAt": null,
"stateKey": null
}
```
### How to scrape indeed.com
1. Go to [Indeed Job Scraper](https://apify.com/blackfalcondata/indeed-job-scraper) in Apify Console.
2. Enter a search keyword and optional location filter.
3. Set `maxResults` to control how many results you need.
4. Enable `includeDetails` if you need full descriptions, contact info, or company data.
5. Click **Start** and wait for the run to finish.
6. Export the dataset as JSON, CSV, or Excel.
### Use cases
- Extract job data from indeed.com for market research and competitive analysis.
- Track salary trends across regions and categories over time.
- Monitor new and changed listings on scheduled runs without processing the full dataset every time.
- Build outreach lists using contact details and apply URLs from listings.
- Research company hiring patterns, employer profiles, and industry distribution.
- Use structured location data for regional analysis, mapping, and geo-targeting.
- Feed structured data into AI agents, MCP tools, and automated pipelines using compact mode.
- Export clean, structured data to dashboards, spreadsheets, or data warehouses.
- Collect ratings and reviews for reputation monitoring and benchmarking.
### How much does it cost to scrape indeed.com?
Indeed Job Scraper uses [pay-per-event](https://docs.apify.com/platform/actors/paid-actors/pay-per-event) pricing. You pay a small fee when the run starts and then for each result that is actually produced.
- **Run start:** $0.01 per run
- **Per result:** $0.002 per job record
Example costs:
- 10 results: **$0.03**
- 100 results: **$0.21**
- 500 results (max per query): **$1.01**
Incremental runs only charge for new or changed results, making recurring monitoring cost-efficient.
### FAQ
#### How many results can I get from indeed.com?
The number of results depends on the search query and available listings on indeed.com. Use the `maxResults` parameter to control how many results are returned per run.
#### Does Indeed Job Scraper support recurring monitoring?
Yes. Enable incremental mode to only receive new or changed listings on subsequent runs. This is ideal for scheduled monitoring where you want to track changes over time without re-processing the full dataset.
#### Can I integrate Indeed Job Scraper with other apps?
Yes. Indeed Job Scraper works with Apify's [integrations](https://apify.com/integrations) to connect with tools like Zapier, Make, Google Sheets, Slack, and more. You can also use webhooks to trigger actions when a run completes.
#### Can I use Indeed Job Scraper with the Apify API?
Yes. You can start runs, manage inputs, and retrieve results programmatically through the [Apify API](https://docs.apify.com/api/v2). Client libraries are available for JavaScript, Python, and other languages.
#### Can I use Indeed Job Scraper through an MCP Server?
Yes. Apify provides an [MCP Server](https://apify.com/apify/actors-mcp-server) that lets AI assistants and agents call this actor directly. Use compact mode and `descriptionMaxLength` to keep payloads manageable for LLM context windows.
#### Is it legal to scrape indeed.com?
This actor extracts publicly available data from indeed.com. Web scraping of public information is generally considered legal, but you should always review the target site's terms of service and ensure your use case complies with applicable laws and regulations, including GDPR where relevant.
#### Your feedback
If you have questions, need a feature, or found a bug, please [open an issue](https://apify.com/blackfalcondata/indeed-job-scraper/issues) on the actor's page in Apify Console. Your feedback helps us improve.
### You might also like
- [Adzuna Job Scraper](https://apify.com/blackfalcondata/adzuna-scraper) — Scrape adzuna.com — the global job board with 20+ country markets. Structured salary.
- [Arbeitsagentur Scraper](https://apify.com/blackfalcondata/arbeitsagentur-scraper) — Scrape arbeitsagentur.de — Germany's official employment portal with 1M+ listings. Contact data,.
- [Bayt.com Scraper — Jobs from the Middle East](https://apify.com/blackfalcondata/bayt-scraper) — Scrape bayt.com — the leading Middle East job board. Salary data, experience requirements.
- [Bumeran Scraper](https://apify.com/blackfalcondata/bumeran-scraper) — Scrape bumeran.com.ar — the largest job board across 8 LATAM countries. Work modality, contract.
- [Cadremploi Job Scraper](https://apify.com/blackfalcondata/cadremploi-scraper) — Scrape cadremploi.fr — French management and executive jobs. Salary ranges, apply links.
- [Dice.com Job Scraper](https://apify.com/blackfalcondata/dice-com-job-scraper) — Scrape dice.com — the leading U.S. tech job board. Structured salary (min/max/currency),.
- [Drushim Scraper - Israel Job Listings from drushim.co.il](https://apify.com/blackfalcondata/drushim-scraper) — Scrape drushim.co.il — Israel's leading job board. Geo-coordinates per listing, multi-filter search.
- [Duunitori Scraper](https://apify.com/blackfalcondata/duunitori-scraper) — Scrape duunitori.fi — Finland's largest job board with 22,000+ listings. Salary ranges, employment.
# Actor input Schema
## `query` (type: `string`):
Job search keywords. Single string or JSON array for multi-query (e.g. \["software engineer", "data analyst"]). Required unless startUrls is provided.
## `country` (type: `string`):
Which Indeed domain to search (62 markets). Major markets (US, UK, DE, FR, etc.) are well-tested. Smaller markets are config-supported but listing volume varies.
## `location` (type: `string`):
City, state, or region to search within. Single string or JSON array for multi-location (e.g. \["New York", "San Francisco"]). Leave empty for nationwide results.
## `startUrls` (type: `array`):
Direct Indeed search or job detail URLs. Use instead of or alongside query. Accepts search pages (indeed.com/jobs?q=...) and job pages (indeed.com/viewjob?jk=...).
## `maxResults` (type: `integer`):
Maximum total job listings to return across all search sources.
## `maxPages` (type: `integer`):
Maximum SERP pages to scrape per search source. Each page typically contains 15 results.
## `postedDays` (type: `integer`):
Only return jobs posted within this many days. Automatically snapped to nearest valid value: 1, 3, 7, or 14.
## `remoteFilter` (type: `string`):
Filter jobs by remote work availability.
## `jobType` (type: `string`):
Filter by employment type.
## `radius` (type: `integer`):
Search radius around the specified location. Only applies when location is set. Valid values: 5, 10, 15, 25, 35, 50, 100.
## `sort` (type: `string`):
Sort results by relevance (default) or by posting date (newest first).
## `includeDetails` (type: `boolean`):
Fetch each job's detail page for full description, JSON-LD data, requirements, benefits, and hiring signals. Set to false for fast SERP-only scraping.
## `compact` (type: `boolean`):
Output only ~12 core fields (jobId, title, company, location, salary, description, URL, dates, remote status). Ideal for AI agents, MCP workflows, and LLM context windows where token budget matters.
## `descriptionMaxLength` (type: `integer`):
Truncate job descriptions to this many characters (adds '...' suffix). Set to 0 to omit descriptions entirely. Leave empty for full descriptions. Useful for reducing payload size in API integrations and AI pipelines.
## `includeCompanyProfile` (type: `boolean`):
Fetch each unique company's /cmp/ page for industry, employee count, headquarters, revenue, and more. Cached per company within each run.
## `incrementalMode` (type: `boolean`):
Compare current results against stored state from a previous run. Each job is classified as NEW, UPDATED, UNCHANGED, EXPIRED, or REAPPEARED. Requires stateKey to be set.
## `stateKey` (type: `string`):
Stable identifier for the search universe being tracked. Use a descriptive key like "us-software-nyc" or "de-data-berlin". Different queries/locations should use different keys to avoid state cross-contamination. Required when incrementalMode is true.
## `emitUnchanged` (type: `boolean`):
When incremental mode is active, also output jobs that haven't changed since the last run. Default: only NEW, UPDATED, and REAPPEARED jobs are emitted.
## `emitExpired` (type: `boolean`):
When incremental mode is active, also output jobs from the previous state that were not found in the current run (marked as EXPIRED).
## Actor input object example
```json
{
"query": "software developer",
"country": "US",
"maxResults": 5,
"maxPages": 5,
"sort": "relevance",
"includeDetails": true,
"compact": false,
"includeCompanyProfile": false,
"incrementalMode": false,
"emitUnchanged": false,
"emitExpired": 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 '' with your token
const client = new ApifyClient({
token: '',
});
// Prepare Actor input
const input = {
"query": "software developer",
"maxResults": 5
};
// Run the Actor and wait for it to finish
const run = await client.actor("blackfalcondata/indeed-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 '' with your token.
client = ApifyClient("")
# Prepare the Actor input
run_input = {
"query": "software developer",
"maxResults": 5,
}
# Run the Actor and wait for it to finish
run = client.actor("blackfalcondata/indeed-scraper").call(run_input=run_input)
# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)
# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start
```
## CLI example
```bash
echo '{
"query": "software developer",
"maxResults": 5
}' |
apify call blackfalcondata/indeed-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=blackfalcondata/indeed-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Indeed Job Scraper",
"description": "Scrape indeed.com — the world's largest job board with 62 country markets. Salary ranges, company ratings, and incremental change tracking.",
"version": "1.0",
"x-build-id": "VBvbD2c3E0IgSfaM1"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/blackfalcondata~indeed-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-blackfalcondata-indeed-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/blackfalcondata~indeed-scraper/runs": {
"post": {
"operationId": "runs-sync-blackfalcondata-indeed-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/blackfalcondata~indeed-scraper/run-sync": {
"post": {
"operationId": "run-sync-blackfalcondata-indeed-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
}
},
"components": {
"schemas": {
"inputSchema": {
"type": "object",
"properties": {
"query": {
"title": "Search Query",
"type": "string",
"description": "Job search keywords. Single string or JSON array for multi-query (e.g. [\"software engineer\", \"data analyst\"]). Required unless startUrls is provided."
},
"country": {
"title": "Country",
"enum": [
"US",
"UK",
"CA",
"AU",
"IN",
"DE",
"FR",
"IT",
"ES",
"NL",
"PL",
"AT",
"CH",
"BE",
"SE",
"NO",
"DK",
"FI",
"PT",
"IE",
"CZ",
"HU",
"RO",
"GR",
"LU",
"UA",
"TR",
"NZ",
"JP",
"SG",
"HK",
"MY",
"PH",
"ID",
"TH",
"TW",
"KR",
"PK",
"VN",
"CN",
"BR",
"MX",
"AR",
"CL",
"CO",
"CR",
"EC",
"PA",
"PE",
"UY",
"VE",
"AE",
"SA",
"IL",
"QA",
"KW",
"BH",
"OM",
"EG",
"MA",
"NG",
"ZA"
],
"type": "string",
"description": "Which Indeed domain to search (62 markets). Major markets (US, UK, DE, FR, etc.) are well-tested. Smaller markets are config-supported but listing volume varies.",
"default": "US"
},
"location": {
"title": "Location",
"type": "string",
"description": "City, state, or region to search within. Single string or JSON array for multi-location (e.g. [\"New York\", \"San Francisco\"]). Leave empty for nationwide results."
},
"startUrls": {
"title": "Start URLs",
"type": "array",
"description": "Direct Indeed search or job detail URLs. Use instead of or alongside query. Accepts search pages (indeed.com/jobs?q=...) and job pages (indeed.com/viewjob?jk=...).",
"items": {
"type": "string"
}
},
"maxResults": {
"title": "Max Results",
"minimum": 1,
"maximum": 500,
"type": "integer",
"description": "Maximum total job listings to return across all search sources.",
"default": 25
},
"maxPages": {
"title": "Max Pages",
"minimum": 1,
"maximum": 50,
"type": "integer",
"description": "Maximum SERP pages to scrape per search source. Each page typically contains 15 results.",
"default": 5
},
"postedDays": {
"title": "Posted Within (Days)",
"minimum": 1,
"maximum": 14,
"type": "integer",
"description": "Only return jobs posted within this many days. Automatically snapped to nearest valid value: 1, 3, 7, or 14."
},
"remoteFilter": {
"title": "Remote Filter",
"enum": [
"remote",
"hybrid"
],
"type": "string",
"description": "Filter jobs by remote work availability."
},
"jobType": {
"title": "Job Type",
"enum": [
"fulltime",
"parttime",
"contract",
"temporary",
"internship"
],
"type": "string",
"description": "Filter by employment type."
},
"radius": {
"title": "Search Radius (miles)",
"minimum": 5,
"maximum": 100,
"type": "integer",
"description": "Search radius around the specified location. Only applies when location is set. Valid values: 5, 10, 15, 25, 35, 50, 100."
},
"sort": {
"title": "Sort Order",
"enum": [
"relevance",
"date"
],
"type": "string",
"description": "Sort results by relevance (default) or by posting date (newest first).",
"default": "relevance"
},
"includeDetails": {
"title": "Include Detail Pages",
"type": "boolean",
"description": "Fetch each job's detail page for full description, JSON-LD data, requirements, benefits, and hiring signals. Set to false for fast SERP-only scraping.",
"default": true
},
"compact": {
"title": "Compact Output",
"type": "boolean",
"description": "Output only ~12 core fields (jobId, title, company, location, salary, description, URL, dates, remote status). Ideal for AI agents, MCP workflows, and LLM context windows where token budget matters.",
"default": false
},
"descriptionMaxLength": {
"title": "Description Max Length",
"minimum": 0,
"type": "integer",
"description": "Truncate job descriptions to this many characters (adds '...' suffix). Set to 0 to omit descriptions entirely. Leave empty for full descriptions. Useful for reducing payload size in API integrations and AI pipelines."
},
"includeCompanyProfile": {
"title": "Include Company Profiles",
"type": "boolean",
"description": "Fetch each unique company's /cmp/ page for industry, employee count, headquarters, revenue, and more. Cached per company within each run.",
"default": false
},
"incrementalMode": {
"title": "Incremental Mode",
"type": "boolean",
"description": "Compare current results against stored state from a previous run. Each job is classified as NEW, UPDATED, UNCHANGED, EXPIRED, or REAPPEARED. Requires stateKey to be set.",
"default": false
},
"stateKey": {
"title": "State Key",
"type": "string",
"description": "Stable identifier for the search universe being tracked. Use a descriptive key like \"us-software-nyc\" or \"de-data-berlin\". Different queries/locations should use different keys to avoid state cross-contamination. Required when incrementalMode is true."
},
"emitUnchanged": {
"title": "Emit Unchanged Records",
"type": "boolean",
"description": "When incremental mode is active, also output jobs that haven't changed since the last run. Default: only NEW, UPDATED, and REAPPEARED jobs are emitted.",
"default": false
},
"emitExpired": {
"title": "Emit Expired Records",
"type": "boolean",
"description": "When incremental mode is active, also output jobs from the previous state that were not found in the current run (marked as EXPIRED).",
"default": false
}
}
},
"runsResponseSchema": {
"type": "object",
"properties": {
"data": {
"type": "object",
"properties": {
"id": {
"type": "string"
},
"actId": {
"type": "string"
},
"userId": {
"type": "string"
},
"startedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"finishedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"status": {
"type": "string",
"example": "READY"
},
"meta": {
"type": "object",
"properties": {
"origin": {
"type": "string",
"example": "API"
},
"userAgent": {
"type": "string"
}
}
},
"stats": {
"type": "object",
"properties": {
"inputBodyLen": {
"type": "integer",
"example": 2000
},
"rebootCount": {
"type": "integer",
"example": 0
},
"restartCount": {
"type": "integer",
"example": 0
},
"resurrectCount": {
"type": "integer",
"example": 0
},
"computeUnits": {
"type": "integer",
"example": 0
}
}
},
"options": {
"type": "object",
"properties": {
"build": {
"type": "string",
"example": "latest"
},
"timeoutSecs": {
"type": "integer",
"example": 300
},
"memoryMbytes": {
"type": "integer",
"example": 1024
},
"diskMbytes": {
"type": "integer",
"example": 2048
}
}
},
"buildId": {
"type": "string"
},
"defaultKeyValueStoreId": {
"type": "string"
},
"defaultDatasetId": {
"type": "string"
},
"defaultRequestQueueId": {
"type": "string"
},
"buildNumber": {
"type": "string",
"example": "1.0.0"
},
"containerUrl": {
"type": "string"
},
"usage": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "integer",
"example": 1
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
},
"usageTotalUsd": {
"type": "number",
"example": 0.00005
},
"usageUsd": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "number",
"example": 0.00005
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
}
}
}
}
}
}
}
}
```