# Launching Next Startups Scraper (`mangudai/launching-next-startups-scraper`) Actor

Scrape newly launched and trending startups from Launching Next. Get each startup's name, tagline, website, launch date, and tags as clean B2B leads or market-research data. Filter by category or keyword. Public data, no login or API key.

- **URL**: https://apify.com/mangudai/launching-next-startups-scraper.md
- **Developed by:** [Mangudäi](https://apify.com/mangudai) (community)
- **Categories:** Lead generation, Developer tools, Open source
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.01 / 1,000 results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## Launching Next Startups Scraper

Extract newly launched and trending startups from [Launching Next](https://www.launchingnext.com), one of the longest-running startup launch directories. For each startup you get its name, tagline, real website URL, launch date, and topic tags, ready to use as B2B leads or market-research data.

### What it does

Launching Next publishes a steady stream of freshly launched products. This actor walks the newest-launches feed, the trending list, or any single category, opens each startup page, and returns clean structured rows. Public data only. No login, no API key, no captcha.

### Who it is for

- Founders and agencies building lead lists of early-stage companies to sell to
- Investors and scouts tracking what just launched, by category
- Recruiters sourcing new companies and their websites
- Market and trend researchers watching a niche (ai, saas, fintech, and so on)

### Input

| Field | Type | Description |
| --- | --- | --- |
| `listType` | string | `newest` (default) or `trending`. Ignored when `tag` is set. |
| `tag` | string | Optional category, e.g. `ai`, `saas`, `fintech`, `productivity`, `developer-tools`. |
| `searchQuery` | string | Optional keyword filter on name, tagline, and tags. |
| `maxItems` | integer | Maximum startups to return (default 50). |
| `requestDelaySeconds` | integer | Polite delay between requests (default 1). |

#### Example input

```json
{
    "listType": "newest",
    "maxItems": 50,
    "requestDelaySeconds": 1
}
```

Scrape a single category:

```json
{
    "tag": "ai",
    "maxItems": 100
}
```

### Output

One row per startup:

```json
{
    "name": "AnswerRank",
    "tagline": "Rank on AI Answers with Generative Engine Optimization",
    "website": "https://answerrank.so/",
    "publishedDate": "Tuesday, July 14, 2026",
    "tags": ["artificial intelligence", "generative ai", "large language model"],
    "listingUrl": "https://www.launchingnext.com/s/answerrank/140712/",
    "slug": "answerrank",
    "id": "140712"
}
```

Export the dataset as JSON, CSV, Excel, or via the API.

### Notes

The scraper only reads public pages and keeps a delay between requests. It respects the site's robots rules and links back to the source. Field coverage depends on what each startup page publishes; missing values come back as `null`.

# Actor input Schema

## `listType` (type: `string`):

Which listing to scrape: the newest launches or the trending startups. Ignored when a tag is set.

## `tag` (type: `string`):

Optional. Scrape a single category instead, e.g. ai, saas, fintech, productivity, developer-tools. Uses the launchingnext.com/startups/<tag>/ pages.

## `searchQuery` (type: `string`):

Optional. Keep only startups whose name, tagline, or tags contain this text (case-insensitive).

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

Maximum number of startups to return.

## `requestDelaySeconds` (type: `integer`):

Polite delay between detail-page requests to avoid overloading the site.

## Actor input object example

```json
{
  "listType": "newest",
  "maxItems": 50,
  "requestDelaySeconds": 1
}
```

# Actor output Schema

## `results` (type: `string`):

No description

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {};

// Run the Actor and wait for it to finish
const run = await client.actor("mangudai/launching-next-startups-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 = {}

# Run the Actor and wait for it to finish
run = client.actor("mangudai/launching-next-startups-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{}' |
apify call mangudai/launching-next-startups-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,mangudai/launching-next-startups-scraper"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/fTYuIN0had0X19n5W/builds/sXbPyMGOtozeIul2r/openapi.json