The Verge, TechCrunch & Wired RSS Scraper

The Verge, TechCrunch & Wired RSS Scraper

Scrape the latest tech news from The Verge, TechCrunch, and Wired RSS feeds, up to a million articles per run. Each article comes with its title, URL, publication date, and source. Export to CSV, JSON, Excel, or XML.

Staying on top of tech news means checking multiple sites every day. This actor reads the public RSS feeds of The Verge, TechCrunch, and Wired directly, so you get a single stream of the latest articles without visiting each site. Pick your sources, set a maximum article count, and the run returns a clean dataset you can filter and analyze.

Who uses it	What they scrape The Verge, TechCrunch, and Wired for
Market researchers	Track which tech topics and companies are getting the most coverage this week.
Content curators	Build a daily digest of the top stories across major tech publications.
PR professionals	Monitor media mentions of clients or competitors in the tech press.
Data analysts	Collect a corpus of tech headlines for trend analysis or sentiment modeling.

What it does

This Actor collects the most recent tech news articles from The Verge, TechCrunch, and Wired RSS feeds and returns each one as a flat row with its title, link, publication date, and source name.

• 📰 Multi-source feeds: The Verge, TechCrunch, and Wired, selected together or individually.
• 🔢 Configurable volume: Set a maximum number of articles per run, from 1 to 1,000,000.
• 📅 Sorted by recency: Articles are returned newest-first as they appear in each feed.
• 📂 Flat structured output: Every article is a single row with title, URL, date, and source, ready for spreadsheets.

Results export to CSV, JSON, Excel, or XML, or straight from the API.

What you can do with The Verge, TechCrunch, and Wired data

📈 Monitor tech media coverage.

A market researcher runs the actor daily for The Verge and TechCrunch to see which startups are getting repeated mentions and decide where to focus a competitive report.

📋 Curate a morning newsletter.

A content curator scrapes the last 50 articles from all three sources, picks the top five stories, and drafts a daily email for subscribers.

🔍 Track competitor announcements.

A PR manager filters the output for a competitor's name to catch every new product launch or funding round covered by Wired and TechCrunch.

📊 Build a headline dataset.

A data analyst collects a month of headlines from The Verge and Wired to train a topic model that identifies emerging tech themes.

Why choose this scraper

	What you get
No API keys or logins	Reads public RSS feeds directly with no registration or authentication.
Unified schema	Articles from all three sources land in the same flat format for easy comparison.
Scheduled recency	Run on a schedule to always have the latest headlines without manual checks.

How it compares

This actor focuses on the three named tech news RSS feeds with a simple source selector and volume control, while the competitors below either scrape additional sites or extract extra data points.

Feature	ParseForge	Tech News Aggregator	Tech Layoffs Tracker
Scrapes The Verge RSS feed	Yes	Yes	Yes
Scrapes TechCrunch RSS feed	Yes	Yes	Yes
Scrapes Wired RSS feed	Yes	Not listed	Not listed
Returns full article content	Not listed	Yes	Not listed
Extracts company layoff headcounts	Not listed	Not listed	Yes
Configurable max articles per run	Yes	Not listed	Not listed

Configure the run

Drive the Actor by selecting one or more sources from The Verge, TechCrunch, and Wired, and set a maximum article count to control the volume per run. The Input tab lists every parameter.

A first run with the defaults:

{
 "maxItems": 10,
 "sources": [
 "theverge",
 "techcrunch",
 "wired"
 ]
}

A larger pull:

{
 "maxItems": 200,
 "sources": [
 "theverge",
 "techcrunch",
 "wired"
 ]
}

Pricing

Pay-per-result: $0.021 per result collected. You pay only for the results written to your dataset.

Results collected	Approximate cost
100 results	$2.10
1,000 results	$21.00
10,000 results	$210.00

New Apify accounts start with $5 in free credit.

Free users

Free-plan runs return up to 10 results as a preview. Upgrade your Apify plan to collect up to 1,000,000 results per run.

Run it

1. Create a free Apify account with $5 in credit.
2. Open the The Verge, TechCrunch & Wired RSS Scraper.
3. Set your inputs and any filters, then click Start.
4. Export the results as CSV, Excel, JSON, or XML from the Dataset tab.

Run it programmatically through the Apify API (run-sync-get-dataset-items) or the ApifyClient for JavaScript and Python.

Use with AI agents (MCP)

Give an AI agent live access to The Verge, TechCrunch, and Wired through the Model Context Protocol. Add the Actor to Claude, Cursor, or any MCP client:

$claude mcp add --transport http apify "https://mcp.apify.com?tools=parseforge/theverge-techcrunch-wired-rss-scraper"

Then prompt it in plain language to run the scraper and read back the results.

Troubleshooting

Why am I getting no results?

Check that at least one source is selected in the input. If all three are selected and you still get nothing, the feeds may be temporarily unavailable; try again in a few minutes.

Why are some articles missing the publication date?

RSS feeds occasionally omit the date field for certain items. The actor returns whatever the feed provides; missing dates will appear as empty in your dataset.

The actor is returning fewer articles than my maxItems setting.

The actor stops when it has read all available items in the selected feeds. If the feeds contain fewer articles than your maxItems value, you will get everything that is available.

I see duplicate articles across runs.

RSS feeds list the most recent items, so consecutive runs will overlap. Deduplicate your dataset by the article URL after collection, or increase the time between scheduled runs.

The run failed with an error.

First, check the run log in Apify Console for details. Temporary network issues or feed server downtime are common causes; retry the run after a short wait.

FAQ

Question	Answer
Can I scrape only one source, like TechCrunch?	Yes. In the input, select only TechCrunch from the sources list and the actor will read only that feed.
How many articles can I get in one run?	You set the maximum with the maxItems field, up to 1,000,000. The actor stops when it reaches that count or runs out of feed items.
Does this actor get the full article text?	No, it reads the RSS feeds which provide the title, URL, publication date, and a short summary when available. For full text you would need a separate page scraper.
How often are the feeds updated?	Each source updates its RSS feed continuously. Running the actor on a schedule, like every hour, keeps your dataset current.
Can I filter articles by keyword?	The actor does not filter by keyword during the run. It collects the most recent articles from the feeds you select, and you can filter the resulting dataset afterward.
What output formats are supported?	You can export your results to CSV, JSON, Excel, or XML from the Apify dataset tab.
Do I need an API key for The Verge, TechCrunch, or Wired?	No. This actor reads their public RSS feeds, which do not require any authentication or API keys.
Is there a risk of getting blocked?	RSS feeds are designed for automated reading. The actor makes polite requests and respects the feed's natural update cadence, so blocking is unlikely.
Can I add other tech news sources?	The actor currently supports The Verge, TechCrunch, and Wired. For other sources, you can use a generic RSS scraper or request an update to this actor.
How do I schedule this to run automatically?	In Apify Console, set up a scheduled run with a cron expression, like every hour or every day, and the actor will collect new articles on that interval.

Related actors

Browse the full ParseForge collection for more scrapers.

🆘 Need help? Email parseforge@protonmail.com with your run ID, your input, and what you expected.

⚠️ Disclaimer. This Actor is unofficial and is not affiliated with, endorsed by, or sponsored by Vox Media, Inc., Yahoo Inc., and Condé Nast. It collects only publicly available data. You are responsible for using the collected data in compliance with the source's terms of service and applicable data-protection laws, including GDPR, CCPA, and PIPL. Do not use it to collect personal data unlawfully.