# Y Combinator Extractor (`jupri/ycombinator`) Actor
π« All-In-One YCombinator.com Scraper
- **URL**: https://apify.com/jupri/ycombinator.md
- **Developed by:** [cat](https://apify.com/jupri) (community)
- **Categories:** Jobs, Lead generation
- **Stats:** 163 total users, 1 monthly users, 100.0% runs succeeded, 10 bookmarks
- **User rating**: No ratings yet
## Pricing
$30.00/month + usage
To use this Actor, you pay a monthly rental fee to the developer. The rent is subtracted from your prepaid usage every month after the free trial period.You also pay for the Apify platform usage, which gets cheaper the higher Apify subscription plan you have.
Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#rental-actors
## 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
## π« Welcome to YCombinator Scraper
### π About YCombinator.com
**Y Combinator Management, LLC** (**YC**) is an American technology [startup accelerator](https://en.wikipedia.org/wiki/Startup_accelerator "Startup accelerator") launched in March 2005[[1]](https://en.wikipedia.org/wiki/Y_Combinator#cite_note-1) which has been used to launch more than 4,000 companies.[[2]](https://en.wikipedia.org/wiki/Y_Combinator#cite_note-Y_Combinator_Companies_List-2) The accelerator program started in [Boston](https://en.wikipedia.org/wiki/Boston "Boston") and [Mountain View](https://en.wikipedia.org/wiki/Mountain_View,_California "Mountain View, California"), expanded to [San Francisco](https://en.wikipedia.org/wiki/San_Francisco "San Francisco") in 2019, and was entirely online during the [COVID-19](https://en.wikipedia.org/wiki/COVID-19 "COVID-19") pandemic.[[3]](https://en.wikipedia.org/wiki/Y_Combinator#cite_note-3) Companies started via Y Combinator include [Airbnb](https://en.wikipedia.org/wiki/Airbnb "Airbnb"), [Coinbase](https://en.wikipedia.org/wiki/Coinbase), [Cruise](https://en.wikipedia.org/wiki/Cruise_(autonomous_vehicle) "Cruise (autonomous vehicle)"), [DoorDash](https://en.wikipedia.org/wiki/DoorDash "DoorDash"), [Dropbox](https://en.wikipedia.org/wiki/Dropbox_(service) "Dropbox (service)"), [Instacart](https://en.wikipedia.org/wiki/Instacart "Instacart"), [Reddit](https://en.wikipedia.org/wiki/Reddit "Reddit"), [Stripe](https://en.wikipedia.org/wiki/Stripe_(company) "Stripe (company)"), and [Twitch](https://en.wikipedia.org/wiki/Twitch_(service) "Twitch (service)").[[4]](https://en.wikipedia.org/wiki/Y_Combinator#cite_note-4)
### π About This Actor
π« All-In-One YCombinator.com Scraper
**Features :**
- β Search for **News** _(Hacker News)_
- β Search for **Companies**
- β Search for **Founders**
- β Search for **Launches**
- β Search for **Jobs** _(cookie required)_
- β Search **Library**
### π HTTP Cookie Requirements
Searching for **Jobs** require you to include a **cookie** from your **login** browser session.
**Google Chrome**
1. Login to ycombinator.com or workatastartup.com
2. Open Chrome Developer Tools `(Ctrl + Shift + I)`
3. Open `Application` Tab
4. On left panel, go to: `Storage -> Cookies -> https://www.workatastartup.com/`
5. Find cookie named `_sso.key`
6. Copy & Paste
### βοΈ Support
β‘οΈ Feel free to [reach out](https://console.apify.com/actors/HfJxGdgRxLU5NAbpE/issues) to the developer for any [issues](https://console.apify.com/actors/HfJxGdgRxLU5NAbpE/issues) or suggestions for improvement.
# Actor input Schema
## `query` (type: `string`):
Search Terms: job title, tech stack, company name
## `mode` (type: `string`):
Operation Mode
## `limit` (type: `integer`):
Number of results
## `news:type` (type: `string`):
No description
## `news:sort` (type: `string`):
No description
## `news:time_delta` (type: `integer`):
No description
## `news:time_unit` (type: `string`):
No description
## `news:date_from` (type: `string`):
No description
## `news:date_to` (type: `string`):
No description
## `job:sort` (type: `string`):
No description
## `job:role` (type: `array`):
No description
## `job:job_type` (type: `string`):
No description
## `job:team_size` (type: `array`):
No description
## `job:industry` (type: `string`):
No description
## `job:experience` (type: `array`):
No description
## `job:location` (type: `string`):
No description
## `job:remote` (type: `array`):
No description
## `job:stage` (type: `array`):
No description
## `job:demographic` (type: `string`):
No description
## `job:sallary` (type: `boolean`):
No description
## `job:equity` (type: `boolean`):
No description
## `job:interview` (type: `boolean`):
No description
## `job:us_visa` (type: `boolean`):
No description
## `company:sort` (type: `string`):
No description
## `company:top_company` (type: `boolean`):
No description
## `company:is_hiring` (type: `boolean`):
No description
## `company:non_profit` (type: `boolean`):
No description
## `company:batches` (type: `array`):
No description
## `company:industries` (type: `array`):
No description
## `company:regions` (type: `array`):
No description
## `company:min_size` (type: `integer`):
No description
## `company:max_size` (type: `integer`):
No description
## `company:app_video` (type: `boolean`):
No description
## `company:demo_day` (type: `boolean`):
No description
## `company:app_answers` (type: `boolean`):
No description
## `company:question_answers` (type: `boolean`):
No description
## `company:status` (type: `array`):
No description
## `company:tags` (type: `array`):
No description
## `user:top_company` (type: `boolean`):
No description
## `user:batches` (type: `array`):
No description
## `user:industries` (type: `array`):
No description
## `user:titles` (type: `array`):
No description
## `user:regions` (type: `array`):
No description
## `launch:sort` (type: `string`):
No description
## `launch:batches` (type: `array`):
No description
## `launch:industries` (type: `array`):
No description
## `launch:tags` (type: `array`):
No description
## `library:media` (type: `array`):
No description
## `library:categories` (type: `array`):
No description
## `dev_custom_headers` (type: `array`):
π‘ Additional HTTP Headers
## `dev_custom_cookies` (type: `array`):
π‘ Additional HTTP Cookies
## `dev_transform_fields` (type: `array`):
π‘ Transform the resulting output. Select only needed fields.
For nested object use DOT. For example: address.streetAddress
For nested array use NUMBER (index of array element starting from index=0). For example: images.0.url
## `dev_dataset_name` (type: `string`):
π‘ Save results into custom named Dataset, use mask to customize dataset name
{ACTOR} = actor name
{DATE} = date (YYYYMMDD)
{TIME} = time (HHMMSS)
This masks can be used to autogenerate Dataset Name.
example: data-{DATE}
Depending on today date the dataset name will be: data-20230603
default: data-{ACTOR}-{DATE}-{TIME}
## `dev_dataset_clear` (type: `boolean`):
Clear Dataset before insert/update.
## `dev_no_strip` (type: `boolean`):
π‘ Keep/Save empty values (NULL, FALSE, empty ARRAY, empty OBJECT, empty STRING)
## Actor input object example
```json
{
"query": "python",
"limit": 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 '' with your token
const client = new ApifyClient({
token: '',
});
// Prepare Actor input
const input = {
"query": "python",
"limit": 5
};
// Run the Actor and wait for it to finish
const run = await client.actor("jupri/ycombinator").call(input);
// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`πΎ 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);
});
// π Want to learn more π? Go to β 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": "python",
"limit": 5,
}
# Run the Actor and wait for it to finish
run = client.actor("jupri/ycombinator").call(run_input=run_input)
# Fetch and print Actor results from the run's dataset (if there are any)
print("πΎ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)
# π Want to learn more π? Go to β https://docs.apify.com/api/client/python/docs/quick-start
```
## CLI example
```bash
echo '{
"query": "python",
"limit": 5
}' |
apify call jupri/ycombinator --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=jupri/ycombinator",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Y Combinator Extractor",
"description": "π« All-In-One YCombinator.com Scraper",
"version": "0.1",
"x-build-id": "j5FBaz5B7MdR5LjVG"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/jupri~ycombinator/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-jupri-ycombinator",
"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": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/jupri~ycombinator/runs": {
"post": {
"operationId": "runs-sync-jupri-ycombinator",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/jupri~ycombinator/run-sync": {
"post": {
"operationId": "run-sync-jupri-ycombinator",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": "β Query",
"type": "string",
"description": "Search Terms: job title, tech stack, company name"
},
"mode": {
"title": "π Search Mode",
"enum": [
"search_news",
"search_job",
"search_company",
"search_user",
"search_launch",
"search_library"
],
"type": "string",
"description": "Operation Mode"
},
"limit": {
"title": "βΎοΈ Limit",
"type": "integer",
"description": "Number of results"
},
"news:type": {
"title": "Search Type",
"enum": [
"hot",
"starred",
"story",
"comment",
"ask_hn",
"show_hn",
"launch_hn",
"job",
"poll"
],
"type": "string",
"description": ""
},
"news:sort": {
"title": "Sorting",
"enum": [
"date",
"popular"
],
"type": "string",
"description": ""
},
"news:time_delta": {
"title": "ποΈ For Past",
"type": "integer",
"description": ""
},
"news:time_unit": {
"title": "",
"enum": [
"hour",
"day",
"week",
"month",
"year"
],
"type": "string",
"description": ""
},
"news:date_from": {
"title": "π
From Date",
"type": "string",
"description": ""
},
"news:date_to": {
"title": "π
To Date",
"type": "string",
"description": ""
},
"job:sort": {
"title": "Job Sorting",
"enum": [
"newest_job",
"active",
"newest_com",
"employees_asc",
"employees_desc",
"relevance"
],
"type": "string",
"description": ""
},
"job:role": {
"title": "Role",
"type": "array",
"description": "",
"items": {
"type": "string",
"enum": [
"eng",
"design",
"product",
"science",
"sales",
"marketing",
"support",
"operations",
"recruiting",
"finance",
"legal"
],
"enumTitles": [
"π Engineering",
"π Design",
"π Product",
"π Science",
"π Sales",
"π Marketing",
"π Support",
"π Operations",
"π Recruiting & HR",
"π Finance",
"π Legal"
]
}
},
"job:job_type": {
"title": "Commitment",
"enum": [
"fulltime",
"intern",
"contract"
],
"type": "string",
"description": ""
},
"job:team_size": {
"title": "Company Size",
"type": "array",
"description": "",
"items": {
"type": "string",
"enum": [
"1",
"2",
"3",
"4"
],
"enumTitles": [
"1 - 10 people",
"11 - 50 people",
"51 - 300 people",
"301+ people"
]
}
},
"job:industry": {
"title": "Industry",
"enum": [
"b2b",
"consumer",
"education",
"healthcare",
"financial",
"real_estate",
"industrials",
"government",
"unspecified"
],
"type": "string",
"description": ""
},
"job:experience": {
"title": "Experience",
"type": "array",
"description": "",
"items": {
"type": "string",
"enum": [
"0",
"1",
"3",
"6",
"11"
],
"enumTitles": [
"0 - 1 years",
"1 - 3 years",
"3 - 6 years",
"6 - 11 years",
"11+ years"
]
}
},
"job:location": {
"title": "Location",
"type": "string",
"description": ""
},
"job:remote": {
"title": "Remote",
"type": "array",
"description": "",
"items": {
"type": "string",
"enum": [
"yes",
"only",
"no"
],
"enumTitles": [
"Remote OK",
"Remote Only",
"Not Remote"
]
}
},
"job:stage": {
"title": "Company Stage",
"type": "array",
"description": "",
"items": {
"type": "string",
"enum": [
"all",
"seed",
"series_a",
"growth",
"scale"
],
"enumTitles": [
"All",
"Seed",
"Series A",
"Growth",
"Scale"
]
}
},
"job:demographic": {
"title": "Founder demographic",
"enum": [
"black",
"women",
"latinx"
],
"type": "string",
"description": ""
},
"job:sallary": {
"title": "Has salary range",
"type": "boolean",
"description": ""
},
"job:equity": {
"title": "Has equity range",
"type": "boolean",
"description": ""
},
"job:interview": {
"title": "Has interview process",
"type": "boolean",
"description": ""
},
"job:us_visa": {
"title": "US visa not required",
"type": "boolean",
"description": ""
},
"company:sort": {
"title": "Sorting",
"enum": [
"default",
"date"
],
"type": "string",
"description": ""
},
"company:top_company": {
"title": "Top Company",
"type": "boolean",
"description": ""
},
"company:is_hiring": {
"title": "Is Hiring",
"type": "boolean",
"description": ""
},
"company:non_profit": {
"title": "Non-profit",
"type": "boolean",
"description": ""
},
"company:batches": {
"title": "Batches",
"type": "array",
"description": "",
"items": {
"type": "string",
"enum": [
"F24",
"IK12",
"S05",
"S06",
"S07",
"S08",
"S09",
"S10",
"S11",
"S12",
"S13",
"S14",
"S15",
"S16",
"S17",
"S18",
"S19",
"S20",
"S21",
"S22",
"S23",
"S24",
"Unspecified",
"W06",
"W07",
"W08",
"W09",
"W10",
"W11",
"W12",
"W13",
"W14",
"W15",
"W16",
"W17",
"W18",
"W19",
"W20",
"W21",
"W22",
"W23",
"W24",
"W25",
"X25"
]
}
},
"company:industries": {
"title": "Industry",
"type": "array",
"description": "",
"items": {
"type": "string"
}
},
"company:regions": {
"title": "Region",
"type": "array",
"description": "",
"items": {
"type": "string"
}
},
"company:min_size": {
"title": "Company Size",
"type": "integer",
"description": ""
},
"company:max_size": {
"title": "",
"type": "integer",
"description": ""
},
"company:app_video": {
"title": "Public Application Video",
"type": "boolean",
"description": ""
},
"company:demo_day": {
"title": "Public Demo Day Video",
"type": "boolean",
"description": ""
},
"company:app_answers": {
"title": "Has Application Answers",
"type": "boolean",
"description": ""
},
"company:question_answers": {
"title": "Has Bonus Questions",
"type": "boolean",
"description": ""
},
"company:status": {
"title": "Status",
"type": "array",
"description": "",
"items": {
"type": "string",
"enum": [
"Acquired",
"Active",
"Inactive",
"Public"
]
}
},
"company:tags": {
"title": "Tags",
"type": "array",
"description": "",
"items": {
"type": "string",
"enum": [
"AI",
"AI Assistant",
"AI-Enhanced Learning",
"AI-powered Drug Discovery",
"AIOps",
"API",
"Advertising",
"Aerospace",
"Agriculture",
"Analytics",
"Artificial Intelligence",
"Automation",
"B2B",
"Biotech",
"Climate",
"ClimateTech",
"Cloud Computing",
"Collaboration",
"Community",
"Compliance",
"Computer Vision",
"Construction",
"Consumer",
"Consumer Health Services",
"Conversational AI",
"Crypto / Web3",
"Customer Support",
"Cybersecurity",
"Data Engineering",
"Data Visualization",
"Deep Learning",
"Delivery",
"Design Tools",
"DevOps",
"DevSecOps",
"Developer Tools",
"Diagnostics",
"Digital Health",
"Documents",
"Drug discovery",
"E-commerce",
"Education",
"Energy",
"Enterprise",
"Enterprise Software",
"Entertainment",
"FinOps",
"Finance",
"Fintech",
"Food Tech",
"Gaming",
"Generative AI",
"GovTech",
"Grocery",
"HR Tech",
"Hard Tech",
"Hardware",
"Health & Wellness",
"Health Tech",
"Healthcare",
"India",
"Infrastructure",
"Insurance",
"Investing",
"IoT",
"LegalTech",
"Logistics",
"Machine Learning",
"Manufacturing",
"Marketing",
"Marketplace",
"Media",
"Medical Devices",
"Mental Health Tech",
"Messaging",
"Neobank",
"Open Source",
"Payments",
"Productivity",
"Proptech",
"Real Estate",
"Recruiting",
"Retail",
"Robotics",
"SaaS",
"Sales",
"Sales Enablement",
"Security",
"Social",
"Social Media",
"Subscriptions",
"Supply Chain",
"Synthetic Biology",
"Telemedicine",
"Therapeutics",
"Transportation",
"Travel",
"Video",
"Workflow Automation",
"eLearning"
]
}
},
"user:top_company": {
"title": "Yes",
"type": "boolean",
"description": ""
},
"user:batches": {
"title": "Batches",
"type": "array",
"description": "",
"items": {
"type": "string",
"enum": [
"F24",
"IK12",
"S05",
"S06",
"S07",
"S08",
"S09",
"S10",
"S11",
"S12",
"S13",
"S14",
"S15",
"S16",
"S17",
"S18",
"S19",
"S20",
"S21",
"S22",
"S23",
"S24",
"W06",
"W07",
"W08",
"W09",
"W10",
"W11",
"W12",
"W13",
"W14",
"W15",
"W16",
"W17",
"W18",
"W19",
"W20",
"W21",
"W22",
"W23",
"W24",
"W25",
"X25"
]
}
},
"user:industries": {
"title": "Industry",
"type": "array",
"description": "",
"items": {
"type": "string",
"enum": [
"B2B",
"Analytics",
"Engineering, Product and Design",
"Finance and Accounting",
"Human Resources",
"Infrastructure",
"Legal",
"Marketing",
"Office Management",
"Operations",
"Productivity",
"Recruiting and Talent",
"Retail",
"Sales",
"Security",
"Supply Chain and Logistics",
"Consumer",
"Apparel and Cosmetics",
"Consumer Electronics",
"Content",
"Food and Beverage",
"Gaming",
"Home and Personal",
"Job and Career Services",
"Social",
"Transportation Services",
"Travel, Leisure and Tourism",
"Virtual and Augmented Reality",
"Education",
"Fintech",
"Asset Management",
"Banking and Exchange",
"Consumer Finance",
"Credit and Lending",
"Insurance",
"Payments",
"Government",
"Healthcare",
"Consumer Health and Wellness",
"Diagnostics",
"Drug Discovery and Delivery",
"Healthcare IT",
"Healthcare Services",
"Industrial Bio",
"Medical Devices",
"Therapeutics",
"Industrial",
"Industrials",
"Agriculture",
"Automotive",
"Aviation and Space",
"Climate",
"Drones",
"Energy",
"Manufacturing and Robotics",
"Real Estate and Construction",
"Construction",
"Housing and Real Estate",
"Unspecified"
],
"enumTitles": [
"B2B",
"B2B -> Analytics",
"B2B -> Engineering, Product and Design",
"B2B -> Finance and Accounting",
"B2B -> Human Resources",
"B2B -> Infrastructure",
"B2B -> Legal",
"B2B -> Marketing",
"B2B -> Office Management",
"B2B -> Operations",
"B2B -> Productivity",
"B2B -> Recruiting and Talent",
"B2B -> Retail",
"B2B -> Sales",
"B2B -> Security",
"B2B -> Supply Chain and Logistics",
"Consumer",
"Consumer -> Apparel and Cosmetics",
"Consumer -> Consumer Electronics",
"Consumer -> Content",
"Consumer -> Food and Beverage",
"Consumer -> Gaming",
"Consumer -> Home and Personal",
"Consumer -> Job and Career Services",
"Consumer -> Social",
"Consumer -> Transportation Services",
"Consumer -> Travel, Leisure and Tourism",
"Consumer -> Virtual and Augmented Reality",
"",
"Education",
"Fintech",
"Fintech -> Asset Management",
"Fintech -> Banking and Exchange",
"Fintech -> Consumer Finance",
"Fintech -> Credit and Lending",
"Fintech -> Insurance",
"Fintech -> Payments",
"Government",
"Healthcare",
"Healthcare -> Consumer Health and Wellness",
"Healthcare -> Diagnostics",
"Healthcare -> Drug Discovery and Delivery",
"Healthcare -> Healthcare IT",
"Healthcare -> Healthcare Services",
"Healthcare -> Industrial Bio",
"Healthcare -> Medical Devices",
"Healthcare -> Therapeutics",
"Industrial",
"Industrials",
"Industrials -> Agriculture",
"Industrials -> Automotive",
"Industrials -> Aviation and Space",
"Industrials -> Climate",
"Industrials -> Drones",
"Industrials -> Energy",
"Industrials -> Manufacturing and Robotics",
"Real Estate and Construction",
"Real Estate and Construction -> Construction",
"Real Estate and Construction -> Housing and Real Estate",
"Unspecified"
]
}
},
"user:titles": {
"title": "Role",
"type": "array",
"description": "",
"items": {
"type": "string"
}
},
"user:regions": {
"title": "Regions",
"type": "array",
"description": "",
"items": {
"type": "string",
"enum": [
"Albania",
"Argentina",
"Armenia",
"Australia",
"Austria",
"Bahrain",
"Bangladesh",
"Belgium",
"Bermuda",
"Brazil",
"Bulgaria",
"Canada",
"Chile",
"China",
"Colombia",
"Costa Rica",
"Croatia",
"Cyprus",
"Czechia",
"Democratic Republic of the Congo",
"Denmark",
"Ecuador",
"Egypt",
"El Salvador",
"Estonia",
"Ethiopia",
"Finland",
"France",
"Georgia",
"Germany",
"Ghana",
"Greece",
"Greenland",
"Hong Kong",
"Hungary",
"Iceland",
"India",
"Indonesia",
"Iraq",
"Ireland",
"Israel",
"Italy",
"Ivory Coast",
"Japan",
"Jordan",
"Kazakhstan",
"Kenya",
"Kyrgyzstan",
"Latvia",
"Lithuania",
"Malaysia",
"Mexico",
"Monaco",
"Morocco",
"Nepal",
"Netherlands",
"New Zealand",
"Nigeria",
"Norway",
"Pakistan",
"Panama",
"Peru",
"Philippines",
"Poland",
"Portugal",
"Puerto Rico",
"Qatar",
"Romania",
"Saudi Arabia",
"Serbia",
"Singapore",
"Slovakia",
"Slovenia",
"South Africa",
"South Korea",
"Spain",
"Sweden",
"Switzerland",
"Taiwan",
"Tanzania",
"Thailand",
"Turkey",
"Uganda",
"Ukraine",
"United Arab Emirates",
"United Kingdom",
"United States Virgin Islands",
"United States of America",
"Unspecified",
"Uruguay",
"Vietnam"
]
}
},
"launch:sort": {
"title": "Sorting",
"enum": [
"vote",
"date"
],
"type": "string",
"description": ""
},
"launch:batches": {
"title": "Batches",
"type": "array",
"description": "",
"items": {
"type": "string",
"enum": [
"F2024",
"S2015",
"S2016",
"S2017",
"S2018",
"S2019",
"S2020",
"S2021",
"S2022",
"S2023",
"S2024",
"W2014",
"W2016",
"W2017",
"W2018",
"W2019",
"W2020",
"W2021",
"W2022",
"W2023",
"W2024",
"W2025",
"X2025"
]
}
},
"launch:industries": {
"title": "Industries",
"type": "array",
"description": "",
"items": {
"type": "string",
"enum": [
"B2B",
"Consumer",
"Education",
"Fintech",
"Government",
"Healthcare",
"Industrials",
"Real Estate and Construction"
]
}
},
"launch:tags": {
"title": "Tags",
"type": "array",
"description": "",
"items": {
"type": "string",
"enum": [
"AI",
"AI Assistant",
"AI-Enhanced Learning",
"AI-powered Drug Discovery",
"AIOps",
"API",
"APIs",
"Advertising",
"Aerospace",
"Agriculture",
"Airlines",
"Airplanes",
"Analytics",
"Apparel",
"Architecture",
"Artificial Intelligence",
"Augmented Reality",
"Auto Commerce",
"Automation",
"Automotive",
"Autonomous Trucking",
"B2B",
"Banking as a Service",
"Big Data",
"Billing",
"Biometrics",
"Bioplastic",
"Biotech",
"Biotechnology",
"CRISPR",
"CRM",
"Calendar",
"Call Center",
"Carbon Capture and Removal",
"Careers",
"Cell Therapy",
"Chat",
"Chatbot",
"Civic Tech",
"Climate",
"ClimateTech",
"Cloud Computing",
"Collaboration",
"Commercial Space Launch",
"Community",
"Compliance",
"Computer Vision",
"Construction",
"Consumer",
"Consumer Finance",
"Consumer Health Services",
"Consumer Products",
"Conversational AI",
"Conversational Banking",
"Creator Economy",
"Crowdfunding",
"Crypto / Web3",
"Cryptocurrency",
"Cryptography",
"Customer Service",
"Customer Success",
"Customer Support",
"Cybersecurity",
"Data Engineering",
"Data Labeling",
"Data Science",
"Data Visualization",
"Databases",
"Dating",
"DeFi",
"Deep Learning",
"Delivery",
"Dental",
"Design",
"Design Tools",
"DevOps",
"DevSecOps",
"Developer Tools",
"Diagnostics",
"Digital Health",
"Diversity & Inclusion",
"Documents",
"Drones",
"Drug Delivery",
"Drug discovery",
"E-commerce",
"Edge Computing Semiconductors",
"Edtech",
"Education",
"Electric Vehicles",
"Electronics",
"Email",
"Emerging Markets",
"Energy",
"Energy Storage",
"Enterprise",
"Enterprise Software",
"Entertainment",
"Fashion",
"Feedback",
"Femtech",
"FinOps",
"Finance",
"Fintech",
"Fitness",
"Food",
"Food & Beverage",
"Food Tech",
"Fraud Detection",
"Fraud Prevention",
"Fundraising",
"Gaming",
"Gene Therapy",
"Generative AI",
"Genetic Engineering",
"Genomics",
"Geographic Information System",
"Ghost Kitchens",
"GovTech",
"GraphQL",
"Grocery",
"HR Tech",
"Hard Tech",
"Hardware",
"Health & Wellness",
"Health Insurance",
"Health Tech",
"Healthcare",
"Healthcare IT",
"Home Automation",
"Home Services",
"Housing",
"Human Resources",
"Hydrogen Energy",
"Identity",
"Immigration",
"Income Share Agreements",
"India",
"Industrial",
"Infrastructure",
"Insurance",
"International",
"Investing",
"Investments",
"IoT",
"Kubernetes",
"Latin America",
"Legal",
"LegalTech",
"Lending",
"Lidar",
"Logistics",
"ML",
"Machine Learning",
"Manufacturing",
"Market Research",
"Marketing",
"Marketplace",
"Media",
"Medical Devices",
"Medical Robotics",
"Mental Health",
"Mental Health Tech",
"Messaging",
"Metaverse",
"Microfluidics",
"Mining",
"Monitoring",
"Music",
"NFT",
"NLP",
"Nanomedicine",
"Nanosensors",
"Nanotechnology",
"Navigation",
"Neobank",
"Neurotechnology",
"No-code",
"Note-taking",
"Oncology",
"Open Source",
"Operations",
"Payments",
"Payroll",
"Podcasts",
"Primary Care",
"Privacy",
"Procurement",
"Productivity",
"Proptech",
"Quantum Computing",
"Real Estate",
"Recommendation System",
"Recruiting",
"Regtech",
"Reinforcement Learning",
"Remittances",
"Remote Work",
"Renewable Energy",
"Restaurant Tech",
"Retail",
"Retail Tech",
"Reviews",
"Ridesharing",
"Robotic Process Automation",
"Robotic Surgery",
"Robotics",
"Rocketry",
"SEO",
"SMB",
"SMS",
"SaaS",
"Sales",
"Sales Enablement",
"Satellites",
"Scheduling",
"Search",
"Security",
"Semiconductors",
"Sleep Tech",
"Social",
"Social Media",
"Social Network",
"Solar Power",
"Space Exploration",
"Sports Tech",
"Stocks",
"Subscriptions",
"Supply Chain",
"Sustainability",
"Sustainable Agriculture",
"Sustainable Fashion",
"Sustainable Tourism",
"Swarm Robotics",
"Synthetic Biology",
"Talent Acquisition",
"Team Collaboration",
"Telecommunications",
"Telehealth",
"Telemedicine",
"Therapeutics",
"Ticketing",
"Time Series",
"Trading",
"Transportation",
"Travel",
"Trust & Safety",
"Unmanned Vehicle",
"Video",
"Virtual Reality",
"Warehouse Management Tech",
"Weather",
"Web Development",
"Women's Health",
"Workflow Automation",
"eLearning",
"eSports"
]
}
},
"library:media": {
"title": "Media Type",
"type": "array",
"description": "",
"items": {
"type": "string",
"enum": [
"Blog",
"External",
"Video"
]
}
},
"library:categories": {
"title": "Categories",
"type": "array",
"description": "",
"items": {
"type": "string",
"enum": [
"Becoming a Founder",
"Academia to Startup",
"College Students",
"Non-Technical Founders",
"Business Models",
"Monetization",
"Pricing",
"Unit Economics",
"Co-Founders",
"B2B",
"Consumer",
"Real Estate",
"Science + Biotech",
"Company Stages",
"Early Stage",
"Growth Stage",
"Pivoting",
"Staying Alive",
"Customers",
"Product Market Fit",
"Retention",
"Talking to Users",
"Design",
"UX + Design",
"Finance",
"Cash Burn",
"Founder Psychology",
"Decision Making",
"Mental Health",
"Motivation",
"Time Management",
"Founder Stories",
"Women Founders",
"Fundraising + Investors",
"Board Management",
"Fundraising",
"Fundraising Docs",
"Investors",
"Negotiation",
"Pitch Deck",
"Safes",
"Seed Round",
"Series A",
"Valuations",
"Getting Started",
"Growth",
"Enterprise Sales",
"KPI",
"Launch",
"Marketing",
"Press",
"China",
"Legal",
"Management",
"CEO",
"CTO",
"Leadership",
"Office Hours",
"People",
"Advisers",
"Compensation",
"Culture",
"Diversity + Inclusion",
"Hiring",
"Recruiting",
"Stock Equity",
"Product",
"Building Product",
"Experimentation",
"Feature Prioritization",
"MVP",
"Startup Ideas",
"Problems to Solve",
"Technical",
"Artificial Intelligence",
"Engineering",
"Working at a Startup",
"YC",
"Applying to YC",
"YC Demo Day"
],
"enumTitles": [
"Becoming a Founder",
"Becoming a Founder -> Academia to Startup",
"Becoming a Founder -> College Students",
"Becoming a Founder -> Non-Technical Founders",
"Business Models",
"Business Models -> Monetization",
"Business Models -> Pricing",
"Business Models -> Unit Economics",
"Co-Founders",
"Company Categories -> B2B",
"Company Categories -> Consumer",
"Company Categories -> Real Estate",
"Company Categories -> Science + Biotech",
"Company Stages",
"Company Stages -> Early Stage",
"Company Stages -> Growth Stage",
"Company Stages -> Pivoting",
"Company Stages -> Staying Alive",
"Customers",
"Customers -> Product Market Fit",
"Customers -> Retention",
"Customers -> Talking to Users",
"Design",
"Design -> UX + Design",
"Finance",
"Finance -> Cash Burn",
"Founder Psychology",
"Founder Psychology -> Decision Making",
"Founder Psychology -> Mental Health",
"Founder Psychology -> Motivation",
"Founder Psychology -> Time Management",
"Founder Stories",
"Founder Stories -> Women Founders",
"Fundraising + Investors",
"Fundraising + Investors -> Board Management",
"Fundraising + Investors -> Fundraising",
"Fundraising + Investors -> Fundraising Docs",
"Fundraising + Investors -> Investors",
"Fundraising + Investors -> Negotiation",
"Fundraising + Investors -> Pitch Deck",
"Fundraising + Investors -> Safes",
"Fundraising + Investors -> Seed Round",
"Fundraising + Investors -> Series A",
"Fundraising + Investors -> Valuations",
"Getting Started",
"Growth",
"Growth -> Enterprise Sales",
"Growth -> KPI",
"Growth -> Launch",
"Growth -> Marketing",
"Growth -> Press",
"International -> China",
"Legal",
"Management",
"Management -> CEO",
"Management -> CTO",
"Management -> Leadership",
"Office Hours",
"People",
"People -> Advisers",
"People -> Compensation",
"People -> Culture",
"People -> Diversity + Inclusion",
"People -> Hiring",
"People -> Recruiting",
"People -> Stock Equity",
"Product",
"Product -> Building Product",
"Product -> Experimentation",
"Product -> Feature Prioritization",
"Product -> MVP",
"Startup Ideas",
"Startup Ideas -> Problems to Solve",
"Technical",
"Technical -> Artificial Intelligence",
"Technical -> Engineering",
"Working at a Startup",
"YC",
"YC -> Applying to YC",
"YC -> YC Demo Day"
]
}
},
"dev_custom_headers": {
"title": "π HTTP HEADERS",
"type": "array",
"description": "π‘ Additional HTTP Headers",
"items": {
"type": "object",
"required": [
"key",
"value"
],
"properties": {
"key": {
"type": "string",
"title": "Key"
},
"value": {
"type": "string",
"title": "Value"
}
}
}
},
"dev_custom_cookies": {
"title": "π° HTTP COOKIES",
"type": "array",
"description": "π‘ Additional HTTP Cookies",
"items": {
"type": "object",
"required": [
"key",
"value"
],
"properties": {
"key": {
"type": "string",
"title": "Key"
},
"value": {
"type": "string",
"title": "Value"
}
}
}
},
"dev_transform_fields": {
"title": "β»οΈ CUSTOM FIELD",
"type": "array",
"description": "π‘ Transform the resulting output. Select only needed fields.
For nested object use DOT. For example: address.streetAddress
For nested array use NUMBER (index of array element starting from index=0). For example: images.0.url
",
"items": {
"type": "object",
"required": [
"key",
"value"
],
"properties": {
"key": {
"type": "string",
"title": "Key"
},
"value": {
"type": "string",
"title": "Value"
}
}
}
},
"dev_dataset_name": {
"title": "π CUSTOM STORAGE",
"type": "string",
"description": "π‘ Save results into custom named Dataset, use mask to customize dataset name
{ACTOR} = actor name
{DATE} = date (YYYYMMDD)
{TIME} = time (HHMMSS)
This masks can be used to autogenerate Dataset Name.
example: data-{DATE}
Depending on today date the dataset name will be: data-20230603
default: data-{ACTOR}-{DATE}-{TIME}"
},
"dev_dataset_clear": {
"title": "Clear Storage",
"type": "boolean",
"description": "Clear Dataset before insert/update."
},
"dev_no_strip": {
"title": "Disable data cleansing",
"type": "boolean",
"description": "π‘ Keep/Save empty values (NULL, FALSE, empty ARRAY, empty OBJECT, empty STRING)"
}
}
},
"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
}
}
}
}
}
}
}
}
}
}
```