Pricing

from $0.01 / 1,000 results

Launching Next Startups Scraper

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.

Pricing

from $0.01 / 1,000 results

Rating

0.0

(0)

Developer

Mangudäi

Actor stats

Bookmarked

Total users

Monthly active users

2 days ago

Last modified

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

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

Scrape a single category:

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

Output

One row per startup:

{
    "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.

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