# Startup Jobs Intelligence (`brilliant_gum/startup-jobs-intelligence`) Actor Scrape job listings from YC-backed startups enriched with salary, equity %, tech stack, seniority, hiring velocity and lead score (0–100). Filter by role, remote, YC batch, funding stage, industry, team size, keywords. Sources: WorkAtAStartup + Greenhouse ATS. - **URL**: https://apify.com/brilliant\_gum/startup-jobs-intelligence.md - **Developed by:** [Yuliia Kulakova](https://apify.com/brilliant_gum) (community) - **Categories:** Jobs, Lead generation - **Stats:** 3 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $2.00 / 1,000 job records This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. 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 ## Startup Jobs Intelligence ![Startup Jobs Intelligence](https://i.imgur.com/V1S3G4R.png) **Discover startup job openings with rich company and funding context — all in one run.** Search across YC-backed companies and their job boards. Every result is enriched with funding stage, tech stack, salary ranges, equity details, seniority level, hiring velocity, and a lead score — giving you the full picture instantly. --- ### What You Get Each job record includes: | Field | Description | |-------|-------------| | **Job title & apply URL** | Direct link to apply | | **Location & remote flag** | Is it remote? Where? | | **Seniority level** | Detected automatically: junior, mid, senior, staff, lead, head | | **Salary range** | Extracted from description: min, max, currency | | **Equity** | Range or mention: 0.1%–0.5%, "equity offered" | | **Tech stack** | 190+ technologies auto-detected from description | | **Company funding stage** | seed, Series A, Series B, Series C, growth, public | | **YC batch** | W24, S23, W23 etc. | | **Team size** | Current headcount | | **Industries** | Fintech, AI/ML, Healthcare, SaaS… | | **Hiring velocity** | How many open roles the company has right now | | **Lead score (0–100)** | Composite signal: funding × velocity × salary × equity | | **Company links** | Website, LinkedIn, Twitter, YC profile | --- ### Use Cases - **Tech recruiters** — find every Backend/ML/DevOps opening at Series A–B YC startups before they hit job aggregators - **Job seekers** — filter by remote + salary + equity + tech stack in one place - **Sales & BD teams** — identify fast-growing companies (high hiring velocity = available budget) - **VC analysts** — track which portfolio companies are expanding - **Market researchers** — analyse hiring trends across the YC ecosystem --- ### Input Options #### Simple search (engineering jobs, remote) ```json { "roles": ["eng"], "remote": true, "maxResults": 50 } ```` #### Early-stage YC companies only, with salary filter ```json { "roles": ["eng", "data"], "fundingStage": ["early"], "minSalary": 150000, "hasEquity": true, "maxResults": 100 } ``` #### Specific YC batches + tech stack ```json { "ycBatchFilter": ["W24", "S23"], "techStack": ["Rust", "Go", "Kubernetes"], "remote": true, "maxResults": 30 } ``` #### AI/ML companies, all roles ```json { "industries": ["AI / ML", "Developer Tools"], "keywords": "machine learning", "sources": ["workatastartup", "greenhouse"], "maxResults": 200 } ``` #### Startup sales intelligence ```json { "fundingStage": ["series_b", "series_c"], "minTeamSize": 50, "maxTeamSize": 300, "roles": ["sales", "marketing"], "maxResults": 100 } ``` *** ### Filters Reference | Parameter | Type | Description | |-----------|------|-------------| | `keywords` | string | Match against job title and description | | `roles` | array | `eng`, `design`, `product`, `sales`, `marketing`, `ops`, `finance`, `data` | | `location` | string | City, country, or "Remote" | | `remote` | boolean | Remote jobs only | | `ycBatchFilter` | array | e.g. `["W24","S23","W23"]` | | `fundingStage` | array | `early` (seed–Series C), `growth` (Series D+, late-stage) | | `industries` | array | e.g. `["Fintech","AI / ML","Healthcare"]` | | `minTeamSize` | integer | Minimum team size | | `maxTeamSize` | integer | Maximum team size | | `techStack` | array | Required technologies, e.g. `["Rust","PostgreSQL","Kubernetes"]` | | `minSalary` | integer | Minimum annual salary in USD | | `hasEquity` | boolean | Must mention equity/options | | `seniority` | array | `intern`, `junior`, `mid`, `senior`, `staff`, `principal`, `lead`, `head` | | `maxResults` | integer | 1–1,000 (default 100) | | `includeJobDescription` | boolean | Include full job text (default false) | | `sources` | array | `workatastartup`, `greenhouse` | *** ### Lead Score Every job receives a score from **0 to 100** with a grade (A–F): | Score | Grade | Meaning | |-------|-------|---------| | 80–100 | **A** | Prime target — high-growth stage, active hiring, salary + equity disclosed | | 65–79 | **B** | Strong lead — established company, healthy hiring | | 50–64 | **C** | Good opportunity — some signals present | | 35–49 | **D** | Low signal — limited public data | | 0–34 | **F** | Minimal data available | Factors contributing to the score include: funding stage, number of open roles, team size, YC batch recency, salary transparency, equity disclosure, and company profile completeness. *** ### Sample Output ```json { "jobTitle": "Senior Backend Engineer", "applyUrl": "https://boards.greenhouse.io/acme/jobs/123", "location": "San Francisco, CA / Remote", "isRemote": true, "seniority": "senior", "salaryMin": 180000, "salaryMax": 220000, "salaryCurrency": "USD", "equityMin": 0.1, "equityMax": 0.3, "equityRaw": "0.1% - 0.3%", "techStack": ["Go", "Kubernetes", "PostgreSQL", "AWS"], "atsType": "greenhouse", "postedAt": "2026-04-15T00:00:00.000Z", "company": { "name": "Acme AI", "ycBatch": "W23", "stage": "early", "totalFunding": "$45M", "teamSize": 65, "industries": ["AI / ML", "Developer Tools"], "website": "https://acme.ai", "isHiring": true }, "hiringVelocity": { "openRoles": 12, "last30Days": 7, "trend": "growing" }, "leadScore": { "score": 87, "grade": "A", "factors": ["stage:series_b", "open_roles:12", "team_size:65", "salary_range_disclosed", "equity_range_disclosed"] } } ``` *** ### Pricing | Event | Cost | Description | |-------|------|-------------| | Run start | $0.02 | Flat fee per run | | Job record | $0.002 | Per result (without description) | | Job + description | $0.005 | Per result with full job text | **Example:** 100 jobs without descriptions = **$0.02 + $0.20 = $0.22 total** *** ### Data Sources - **WorkAtAStartup** — YC's official job board, updated daily - **Greenhouse** — Direct ATS job board access (public API) Company metadata (YC batch, funding, team size) is sourced from the YC company directory, updated daily. *** ### Perfect For - Recruiting & staffing agencies focused on tech startups - Job seekers targeting YC-backed companies - B2B SaaS sales teams doing account-based outreach - Early-stage investors tracking portfolio hiring - HR analytics and market research # Actor input Schema ## `keywords` (type: `string`): Search terms matched against job title and description (e.g. 'machine learning', 'fullstack react') ## `roles` (type: `array`): Filter by role type. Leave empty for all roles. ## `location` (type: `string`): City, country, or 'Remote'. Leave empty to include all locations. ## `remote` (type: `boolean`): Only include remote-eligible jobs ## `ycBatchFilter` (type: `array`): Restrict to specific YC batches, e.g. \["W24","S23"]. Leave empty for all batches. ## `fundingStage` (type: `array`): Filter companies by stage. 'early' = seed through Series C startups. 'growth' = late-stage, Series D+ and acquired companies. Leave empty for all. ## `industries` (type: `array`): Filter by industry tags, e.g. \["Fintech","AI / ML","Healthcare"]. Leave empty for all. ## `minTeamSize` (type: `integer`): Minimum company employee count ## `maxTeamSize` (type: `integer`): Maximum company employee count ## `techStack` (type: `array`): Only include jobs that mention at least one of these technologies in the description, e.g. \["Rust","Kubernetes","PyTorch"] ## `minSalary` (type: `integer`): Only include jobs with an extracted salary >= this value. Leave empty to include all (including those with no salary listed). ## `hasEquity` (type: `boolean`): Only include jobs that mention equity, options or RSUs ## `seniority` (type: `array`): Filter by seniority. Leave empty for all levels. ## `maxResults` (type: `integer`): Maximum number of job records to return (1–1000) ## `includeJobDescription` (type: `boolean`): Include full job description text (truncated to 2000 characters). Increases cost per record. ## `sources` (type: `array`): Which job boards to scrape. 'workatastartup' = YC's official board (fastest). 'greenhouse' = direct ATS pages for YC companies. ## `minDelay` (type: `integer`): Minimum delay between requests in milliseconds ## `maxDelay` (type: `integer`): Maximum delay between requests in milliseconds ## Actor input object example ```json { "roles": [ "eng" ], "remote": false, "ycBatchFilter": [], "fundingStage": [], "industries": [], "techStack": [], "hasEquity": false, "seniority": [], "maxResults": 100, "includeJobDescription": false, "sources": [ "workatastartup" ], "minDelay": 1500, "maxDelay": 4000 } ``` # Actor output Schema ## `jobId` (type: `string`): Unique deterministic job identifier ## `jobTitle` (type: `string`): Job title as listed ## `jobUrl` (type: `string`): URL of the job listing page ## `applyUrl` (type: `string`): Direct application URL ## `atsType` (type: `string`): Source system: workatastartup | greenhouse | lever ## `postedAt` (type: `string`): ISO 8601 date when the job was posted ## `scrapedAt` (type: `string`): ISO 8601 timestamp of when the record was scraped ## `location` (type: `string`): Job location string ## `isRemote` (type: `string`): Whether the job is remote-eligible (true/false) ## `seniority` (type: `string`): Detected seniority: intern | junior | mid | senior | staff | principal | lead | head ## `salaryMin` (type: `string`): Minimum annual salary in USD (null if not listed) ## `salaryMax` (type: `string`): Maximum annual salary in USD (null if not listed) ## `salaryCurrency` (type: `string`): Salary currency code: USD | EUR | GBP etc. ## `salaryRaw` (type: `string`): Original salary text as found in the job description ## `equityMin` (type: `string`): Minimum equity percentage (null if not mentioned) ## `equityMax` (type: `string`): Maximum equity percentage (null if not mentioned) ## `equityRaw` (type: `string`): Original equity text as found in the job description ## `techStack` (type: `string`): Technologies extracted from job description (e.g. Go, PostgreSQL, AWS) ## `jobDescription` (type: `string`): Full job description text (only if includeJobDescription=true) ## `departments` (type: `string`): Department tags from Greenhouse/Lever ## `company` (type: `string`): Company object: name, ycBatch, stage, totalFunding, teamSize, website, industries, isHiring ## `hiringVelocity` (type: `string`): Hiring signals: openRoles, last30Days, trend (growing | stable | low) ## `leadScore` (type: `string`): Lead quality score 0-100 with grade A-F and contributing factors # 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 = { "keywords": "", "location": "", "ycBatchFilter": [], "industries": [], "techStack": [] }; // Run the Actor and wait for it to finish const run = await client.actor("brilliant_gum/startup-jobs-intelligence").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 = { "keywords": "", "location": "", "ycBatchFilter": [], "industries": [], "techStack": [], } # Run the Actor and wait for it to finish run = client.actor("brilliant_gum/startup-jobs-intelligence").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 '{ "keywords": "", "location": "", "ycBatchFilter": [], "industries": [], "techStack": [] }' | apify call brilliant_gum/startup-jobs-intelligence --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=brilliant_gum/startup-jobs-intelligence", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Startup Jobs Intelligence", "description": "Scrape job listings from YC-backed startups enriched with salary, equity %, tech stack, seniority, hiring velocity and lead score (0–100). Filter by role, remote, YC batch, funding stage, industry, team size, keywords. Sources: WorkAtAStartup + Greenhouse ATS.", "version": "1.0", "x-build-id": "VkERfBTxTP4btHanT" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/brilliant_gum~startup-jobs-intelligence/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-brilliant_gum-startup-jobs-intelligence", "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/brilliant_gum~startup-jobs-intelligence/runs": { "post": { "operationId": "runs-sync-brilliant_gum-startup-jobs-intelligence", "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/brilliant_gum~startup-jobs-intelligence/run-sync": { "post": { "operationId": "run-sync-brilliant_gum-startup-jobs-intelligence", "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": { "keywords": { "title": "Keywords", "type": "string", "description": "Search terms matched against job title and description (e.g. 'machine learning', 'fullstack react')" }, "roles": { "title": "Role Categories", "type": "array", "description": "Filter by role type. Leave empty for all roles.", "items": { "type": "string", "enum": [ "eng", "design", "product", "sales", "marketing", "ops", "finance", "data" ] }, "default": [ "eng" ] }, "location": { "title": "Location", "type": "string", "description": "City, country, or 'Remote'. Leave empty to include all locations." }, "remote": { "title": "Remote Only", "type": "boolean", "description": "Only include remote-eligible jobs", "default": false }, "ycBatchFilter": { "title": "YC Batch Filter", "type": "array", "description": "Restrict to specific YC batches, e.g. [\"W24\",\"S23\"]. Leave empty for all batches." }, "fundingStage": { "title": "Funding Stage", "type": "array", "description": "Filter companies by stage. 'early' = seed through Series C startups. 'growth' = late-stage, Series D+ and acquired companies. Leave empty for all.", "items": { "type": "string", "enum": [ "early", "growth" ] }, "default": [] }, "industries": { "title": "Industries", "type": "array", "description": "Filter by industry tags, e.g. [\"Fintech\",\"AI / ML\",\"Healthcare\"]. Leave empty for all." }, "minTeamSize": { "title": "Min Team Size", "minimum": 1, "type": "integer", "description": "Minimum company employee count" }, "maxTeamSize": { "title": "Max Team Size", "type": "integer", "description": "Maximum company employee count" }, "techStack": { "title": "Required Tech Stack", "type": "array", "description": "Only include jobs that mention at least one of these technologies in the description, e.g. [\"Rust\",\"Kubernetes\",\"PyTorch\"]" }, "minSalary": { "title": "Minimum Salary (USD)", "type": "integer", "description": "Only include jobs with an extracted salary >= this value. Leave empty to include all (including those with no salary listed)." }, "hasEquity": { "title": "Has Equity", "type": "boolean", "description": "Only include jobs that mention equity, options or RSUs", "default": false }, "seniority": { "title": "Seniority Level", "type": "array", "description": "Filter by seniority. Leave empty for all levels.", "items": { "type": "string", "enum": [ "intern", "junior", "mid", "senior", "staff", "principal", "lead", "head" ] }, "default": [] }, "maxResults": { "title": "Max Results", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Maximum number of job records to return (1–1000)", "default": 100 }, "includeJobDescription": { "title": "Include Job Description", "type": "boolean", "description": "Include full job description text (truncated to 2000 characters). Increases cost per record.", "default": false }, "sources": { "title": "Data Sources", "type": "array", "description": "Which job boards to scrape. 'workatastartup' = YC's official board (fastest). 'greenhouse' = direct ATS pages for YC companies.", "items": { "type": "string", "enum": [ "workatastartup", "greenhouse" ] }, "default": [ "workatastartup" ] }, "minDelay": { "title": "Min Request Delay (ms)", "type": "integer", "description": "Minimum delay between requests in milliseconds", "default": 1500 }, "maxDelay": { "title": "Max Request Delay (ms)", "type": "integer", "description": "Maximum delay between requests in milliseconds", "default": 4000 } } }, "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 } } } } } } } } } } ```