Daily Data Feeds Scraper

Get fresh, structured data delivered daily across 5 high-value datasets — VC funding, domain drops, patents, crypto prices, and news. Built for data pipelines, market research bots, and competitive intelligence systems.

What does Daily Data Feeds Scraper do?

This Actor automatically scrapes and structures data from multiple sources every time it runs. Schedule it daily and wake up to fresh datasets ready to consume via the Apify API. No manual work, no stale data.

Datasets included:

• VC Funding — Latest startup funding rounds from TechCrunch
• Domain Drops — Expiring .com domains with backlink and referring domain counts
• Patents — New patent filings from Google, Apple, Microsoft, Amazon, Meta, and OpenAI
• Crypto Prices — Top 50 cryptocurrencies by market cap with 24h price changes
• News — Latest articles for configurable topics (AI, startups, tech layoffs, etc.)

Why use Daily Data Feeds Scraper?

• Market intelligence — Track VC activity, patent filings, and company moves daily
• Domain investing — Find expired domains with existing authority before others do
• Financial bots — Feed crypto price data into trading or alert systems
• AI agent pipelines — Give your AI agents fresh real-world data to work with
• Research automation — Stop manually checking sources — let the Actor do it

How to use Daily Data Feeds Scraper

1. Click Try for free to open the Actor
2. Configure which datasets you want (or leave defaults to get all)
3. Optionally set custom news topics
4. Click Run to get immediate results
5. Set up a Schedule to run daily automatically
6. Access results via the Dataset tab or Apify API

Input

{
  "datasets": ["funding", "domain_drops", "patents", "crypto_prices", "news"],
  "news_topics": ["startup funding", "AI", "tech layoffs"]
}

Field	Type	Default	Description
datasets	array	all	Which datasets to scrape
news_topics	array	["startup funding", "AI", "tech layoffs"]	Topics for news scraping

Output

Results are pushed to the default dataset. Each record includes a dataset field identifying its type.

Example funding record:

{
  "dataset": "funding",
  "title": "Startup raises $50M Series B for AI platform",
  "source": "TechCrunch",
  "published": "Wed, 09 Apr 2026 10:00:00 GMT",
  "description": "The company plans to use the funding to...",
  "date": "2026-04-09"
}

Example domain drop record:

{
  "dataset": "domain_drops",
  "domain": "example.com",
  "backlinks": "1240",
  "referring_domains": "87",
  "date": "2026-04-09"
}

Example crypto price record:

{
  "dataset": "crypto_prices",
  "name": "Bitcoin",
  "symbol": "btc",
  "price_usd": 82500.00,
  "change_24h_pct": -2.3,
  "volume_24h": 38000000000,
  "market_cap": 1630000000000,
  "date": "2026-04-09"
}

You can download the dataset in various formats such as JSON, HTML, CSV, or Excel from the Dataset tab.

Data fields

Field	Description
dataset	Type: funding, domain_drops, patents, crypto_prices, news
title	Title or name of the record
date	Date the data was scraped
source	Where the data came from
published	Original publication date (where applicable)

Pricing

Each Actor run costs a small amount based on compute time and results produced. A typical full run scraping all 5 datasets produces 150–300 records and completes in under 2 minutes.

Estimated cost per run: $0.01–$0.05 depending on memory and result count.

Schedule daily runs to keep your data fresh for pennies per day.

Tips

• Schedule it — Go to Saved Tasks → Schedule to run automatically every morning
• Filter by dataset — Pass only the datasets you need to reduce compute time
• Custom news topics — Set news_topics to track your specific industry or competitors
• Integrate with webhooks — Trigger downstream systems when new data arrives

FAQ

Is this legal to use? This Actor scrapes publicly available data from public RSS feeds and public APIs. Always ensure your use case complies with the terms of service of the data sources and applicable laws in your jurisdiction.

How fresh is the data? As fresh as your last run. Schedule it daily for daily data.

Can I request additional datasets? Open an issue in the Issues tab and describe what data you need.