# BuiltIn 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 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 ## 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 builtin scraper, builtin.com scraper, built in jobs scraper, us tech jobs scraper, startup jobs data, tech salary data, remote tech jobs scraper, software jobs scraper, san francisco tech jobs, new york tech jobs, austin tech jobs, job board scraper, tech recruitment data, builtin export # 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`): BuiltIn serves data cleanly without anti-bot; the Apify default proxy is fine. Residential is optional for very large runs. ## 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, "proxy": { "useApifyProxy": true } } ``` # 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 = { "startUrls": [ "https://builtin.com/jobs", "https://builtin.com/jobs/remote" ], "proxy": { "useApifyProxy": true } }; // 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 '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "startUrls": [ "https://builtin.com/jobs", "https://builtin.com/jobs/remote", ], "proxy": { "useApifyProxy": True }, } # 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" ], "proxy": { "useApifyProxy": true } }' | 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 " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "BuiltIn Scraper · US Tech & Startup Job Listings", "description": "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.", "version": "0.0", "x-build-id": "PvOXzQCAmV1Jt4Vk1" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/memo23~builtin-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-memo23-builtin-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/memo23~builtin-scraper/runs": { "post": { "operationId": "runs-sync-memo23-builtin-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/memo23~builtin-scraper/run-sync": { "post": { "operationId": "run-sync-memo23-builtin-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "startUrls": { "title": "BuiltIn listing URLs", "type": "array", "description": "Full BuiltIn.com /jobs listing URLs. Each is paginated automatically (?page=N) until `Maximum items` is reached.", "items": { "type": "string" } }, "flatten": { "title": "Flatten nested fields for CSV-friendly output", "type": "boolean", "description": "When enabled (default), nested arrays (e.g. `industries`, `benefits`) are flattened into CSV-friendly columns. Disable to keep the full nested JSON.", "default": true }, "enrichEmails": { "title": "Enrich with employer contact emails (experimental, billed per email)", "type": "boolean", "description": "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.", "default": false }, "maxItems": { "title": "Maximum items to scrape", "minimum": 1, "type": "integer", "description": "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.", "default": 10000 }, "maxConcurrency": { "title": "Max concurrency", "minimum": 1, "type": "integer", "description": "Maximum number of detail pages fetched in parallel. 6-12 is the sweet spot.", "default": 8 }, "maxRequestRetries": { "title": "Max request retries", "minimum": 0, "type": "integer", "description": "Number of retries before a failed request is given up.", "default": 5 }, "proxy": { "title": "Proxy configuration", "type": "object", "description": "BuiltIn serves data cleanly without anti-bot; the Apify default proxy is fine. Residential is optional for very large runs." } } }, "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 } } } } } } } } } } ```