# BuiltIn \[$2💰] Scraper · US Tech & Startup Job Listings (`memo23/builtin-scraper`) Actor

Scrape BuiltIn.com job listings — top US tech & startup jobs. Each job returns title, company, location, salary range, employment type, industry and full description as clean JSON/CSV. One row per job. Remote & on-site, all US tech hubs. No browser.

- **URL**: https://apify.com/memo23/builtin-scraper.md
- **Developed by:** [Muhamed Didovic](https://apify.com/memo23) (community)
- **Categories:** Jobs, AI, Agents
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.00 / 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/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

## BuiltIn Scraper

Scrape job listings from **BuiltIn.com** — the leading US tech & startup job board. Paste any listing URL and get clean, structured rows: job title, company, location, **salary range**, employment type, industry and the full description. One complete row per job. No browser.

![How it works](https://raw.githubusercontent.com/muhamed-didovic/muhamed-didovic.github.io/main/assets/how-it-works-builtin.png)

### Why use this scraper

- **Complete rows, not stubs** — every job's detail page is fetched, so each row already has company, location, salary range, employment type, industries and the full description.
- **Structured salary** — BuiltIn publishes pay ranges; you get `salaryMin` / `salaryMax` / `salaryCurrency` / `salaryPeriod` as clean numbers, ready to sort and filter.
- **Tech hubs + remote** — every US tech market (SF, NYC, Austin, Boston, Chicago…) and remote roles, from any listing or filtered search.
- **Clean, flat output** — one row per job; nested arrays flattened for CSV by default.
- **Pure HTTP, no browser** — fast and cheap; no Playwright, no headless Chrome.
- **Optional employer emails** — turn on `enrichEmails` to append a best-effort company contact email.

### What it does

Give it one or more BuiltIn **listing** URLs. It paginates through the results, fetches each job's detail page (reading the structured `JobPosting` data), and emits one complete dataset row per job — up to `Maximum items`.

### Supported inputs

| Input | Example |
|---|---|
| All jobs | `builtin.com/jobs` |
| Remote jobs | `builtin.com/jobs/remote` |
| By role / city / category | run any search on builtin.com, copy the URL from the address bar |

### Use cases

- **Tech labour-market & compensation research** — salary ranges by role, city and company.
- **Lead generation** — company names + profiles + (with `enrichEmails`) employer contact emails.
- **Recruitment & sourcing** — track who's hiring, where, remote vs on-site, at what pay.
- **Aggregation & job boards** — pull fresh US tech postings into your own product.

### How it works

1. You paste BuiltIn listing URLs.
2. The actor paginates the results and collects each job's detail URL.
3. It fetches every job's detail page, reads its structured `JobPosting` data, and pushes one flat row to the dataset.

### Input configuration

| Field | Type | Description |
|---|---|---|
| `startUrls` | array | BuiltIn **listing** URLs (auto-paginated). |
| `maxItems` | integer | Hard cap on jobs collected. Default 10000. |
| `flatten` | boolean | Flatten nested arrays into CSV columns (default on). |
| `enrichEmails` | boolean | Opt-in employer contact-email enrichment (billed per email found). |
| `maxConcurrency` | integer | Parallel detail fetches. Default 8. |
| `proxy` | object | Proxy config. Defaults to Apify proxy (no anti-bot; residential optional for large runs). |

### Output sample

```json
{
  "portal": "builtin",
  "jobId": "9969935",
  "url": "https://builtin.com/job/senior-national-account-manager-sam-s-club/9969935",
  "jobTitle": "Senior National Account Manager - Sam's Club",
  "company": "SharkNinja",
  "companyUrl": "https://builtin.com/company/sharkninja",
  "city": "Bentonville",
  "region": "Arkansas",
  "country": "USA",
  "isRemote": null,
  "salaryMin": 135000,
  "salaryMax": 219800,
  "salaryCurrency": "USD",
  "salaryPeriod": "YEAR",
  "employmentType": "FULL_TIME",
  "industries": ["Beauty", "Robotics", "Design", "Appliances", "Manufacturing"],
  "datePosted": "2026-06-27"
}
```

### Key output fields

| Field | Description |
|---|---|
| `jobId` / `url` | BuiltIn job id + detail URL |
| `jobTitle` | job title |
| `company` / `companyUrl` / `companyLogoUrl` | employer + BuiltIn profile + logo |
| `city` / `region` / `country` | job location |
| `isRemote` | remote role flag |
| `salaryMin` / `salaryMax` / `salaryCurrency` / `salaryPeriod` | structured pay range |
| `employmentType` | FULL\_TIME / PART\_TIME / CONTRACTOR / INTERN |
| `industries` | company industry tags |
| `benefits` | listed perks & benefits |
| `datePosted` / `validThrough` | posting + expiry dates |
| `directApply` | quick-apply available |
| `description` | full job description |

### FAQ

**Which listings work?** Any BuiltIn `/jobs` listing — all jobs, remote, or any on-site filtered search (role, city, category).

**Do I get the salary?** Yes — BuiltIn publishes structured pay ranges, returned as `salaryMin`/`salaryMax`/`salaryCurrency`/`salaryPeriod`. Postings without a range come back empty.

**Is the full description included?** Yes — every row includes the complete job description from the detail page (no toggle needed).

**Do I need a proxy?** No — BuiltIn has no anti-bot. The Apify default proxy is fine; residential is optional for very large runs.

### Support

Found an issue or want a field added? Open an issue on the actor's Issues tab and we'll take a look.

### Additional services

Need employer contact emails? Turn on `enrichEmails` to append a best-effort contact email + website per company (billed only when an email is found).

### Explore more scrapers

Check the publisher's profile for more job-board and directory scrapers (LinkedIn Jobs, Naukri, SEEK, Jobstreet, GulfTalent and more).

### ⚠️ Disclaimer

This actor collects only publicly available job-listing data for legitimate research, lead-generation and recruitment use. Respect BuiltIn's terms of service and applicable laws (including data-protection rules) in your jurisdiction. You are responsible for how you use the scraped data.

### SEO Keywords

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# Actor input Schema

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

Full BuiltIn.com /jobs listing URLs. Each is paginated automatically (?page=N) until `Maximum items` is reached.

## `flatten` (type: `boolean`):

When enabled (default), nested arrays (e.g. `industries`, `benefits`) are flattened into CSV-friendly columns. Disable to keep the full nested JSON.

## `enrichEmails` (type: `boolean`):

If enabled, tries to find a contact email for each employer by discovering the company's website (Clearbit) and reading its contact/about pages. Adds contactEmail + contactWebsite columns. Best-effort, billed per email found; never charged for misses.

## `maxItems` (type: `integer`):

Hard cap on the number of jobs collected. Each listing page returns ~25 jobs and paginates automatically; every job includes its detail page. Use this cap to control billing.

## `maxConcurrency` (type: `integer`):

Maximum number of detail pages fetched in parallel. 6-12 is the sweet spot.

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

Number of retries before a failed request is given up.

## `proxy` (type: `object`):

Leave empty — the actor already routes all traffic through its own built-in residential proxy at no extra cost to you. Only set this if you want to use your own proxies.

## Actor input object example

```json
{
  "startUrls": [
    "https://builtin.com/jobs",
    "https://builtin.com/jobs/remote"
  ],
  "flatten": true,
  "enrichEmails": false,
  "maxItems": 10000,
  "maxConcurrency": 8,
  "maxRequestRetries": 5
}
```

# 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 = {
    "startUrls": [
        "https://builtin.com/jobs",
        "https://builtin.com/jobs/remote"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("memo23/builtin-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 = { "startUrls": [
        "https://builtin.com/jobs",
        "https://builtin.com/jobs/remote",
    ] }

# Run the Actor and wait for it to finish
run = client.actor("memo23/builtin-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 '{
  "startUrls": [
    "https://builtin.com/jobs",
    "https://builtin.com/jobs/remote"
  ]
}' |
apify call memo23/builtin-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=memo23/builtin-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/LCaO4OGxSoyTJyQC7/builds/xViVTQRKYydBw62jz/openapi.json