Product Hunt Upcoming & Pre-Launch Pipeline Scraper avatar

Product Hunt Upcoming & Pre-Launch Pipeline Scraper

Pricing

from $2.10 / 1,000 item scrapeds

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Product Hunt Upcoming & Pre-Launch Pipeline Scraper

Product Hunt Upcoming & Pre-Launch Pipeline Scraper

Extract unreleased upcoming products from Product Hunt Coming Soon pipeline with subscriber counts, maker profiles, and launch timing.

Pricing

from $2.10 / 1,000 item scrapeds

Rating

0.0

(0)

Developer

LiteZero

LiteZero

Maintained by Community

Actor stats

0

Bookmarked

2

Total users

1

Monthly active users

2 days ago

Last modified

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🏛️ Product Hunt Upcoming & Pre-Launch Pipeline Scraper

Apify

Extract unreleased upcoming products from Product Hunt Coming Soon pipeline with subscriber counts, maker profiles, and launch timing.


🥊 Why This Actor Beats the Competition

FeatureTillzero ActorStandard Web Scrapers / Legacy Bots
Speed & Throughput⚡ Direct API & high-throughput streams (sub-5s runs)🐢 Heavy browser Puppeteer overhead (45s+ per query)
Pricing Transparency💰 Pay-Per-Result ($3.00 / 1k items)💸 Expensive $49–$99/month subscriptions or compute lock-in
Data Quality & Schemas🛡️ Strictly typed, validated ISO 8601 JSON❌ Raw messy HTML dumps with missing columns
Bot Protection & Proxies🌐 Built-in smart rotation and residential resilience🚫 Frequent Cloudflare/Akamai 403 blocking

🛠️ Step-by-Step: How to Use

Method 1: Apify Web Console

  1. Navigate to the Actor page in the Apify Store.
  2. Configure your search parameters in the intuitive Web UI.
  3. Click Start to run the scraper and export results to CSV, Excel, or JSON.

Method 2: Python SDK

from apify_client import ApifyClient
client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("litezero/producthunt-upcoming-prelaunch-scraper").call(run_input={"category": "all", "maxResults": 5})
dataset_items = client.dataset(run["defaultDatasetId"]).list_items().items
print(f"Extracted {len(dataset_items)} items!")

Method 3: Node.js SDK

import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });
const run = await client.actor('litezero/producthunt-upcoming-prelaunch-scraper').call({"category": "all", "maxResults": 5});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(`Extracted ${items.length} items!`);

Method 4: REST API / cURL

curl -X POST "https://api.apify.com/v2/acts/litezero~producthunt-upcoming-prelaunch-scraper/runs?token=YOUR_APIFY_TOKEN" \
-H "Content-Type: application/json" \
-d '{"category": "all", "maxResults": 5}'

📥 Input Parameters

FieldTypeDescriptionDefault
categoryStringFilter by category: 'all', 'tech', 'ai', 'productivity', 'marketing'.all
minSubscribersIntegerFilter products having at least this number of interested subscribers.5
maxResultsIntegerMaximum upcoming products to return.100

📤 Output Data Dictionary & Sample JSON

{
"productName": "PromptForge Studio",
"tagline": "Collaborative prompt regression testing for production AI agents",
"description": "Automated regression testing and latency benchmarking for LLM prompt engineers.",
"subscriberCount": 384,
"anticipatedLaunch": "November 2026",
"makerName": "Alex Rivera",
"makerTwitter": "https://x.com/arivera_dev",
"makerWebsite": "https://promptforge.ai",
"teaserUrl": "https://www.producthunt.com/products/promptforge-studio",
"category": "ai"
}

💡 Top Commercial Use Cases

  1. Automated Market Intelligence: Stream fresh data into Slack, Discord, Google Sheets, or Zapier webhooks.
  2. Quantitative Research: Feed machine learning models, predictive alphas, and algorithmic trading desks.
  3. B2B Growth & Lead Gen: Poach competitors' unhappy users or discover newly funded high-growth targets.