📰 Techmeme Scraper

🚀 Export Techmeme tech news stories to CSV, JSON, or Excel in seconds. No API key, no login, no code required.

🕒 Last updated: 2026-05-22 · 📊 10 fields per record · 20+ stories per run · Global tech coverage

Techmeme is the definitive aggregator of tech news - curated by editors and algorithms from hundreds of sources including WSJ, CNBC, Bloomberg, Ars Technica, and The Verge. This actor scrapes the latest tech news stories directly from the Techmeme homepage in real-time, giving you clean structured data including headlines, source publications, summaries, related coverage clusters, and publication dates. No account or API access required.

The data is extracted directly from Techmeme's server-rendered HTML, ensuring accurate, up-to-the-minute coverage of what the tech world is talking about.

Coverage: AI, cloud computing, big tech, startups, cybersecurity, policy, earnings reports, product launches, layoffs, acquisitions - everything Techmeme's editors curate from 200+ tech publications worldwide.

Target Audience / Use Cases

Who	What they build
Journalists / researchers	Daily tech news monitoring pipelines
Investors	Real-time market signal extraction from tech press
AI / ML teams	Training data for news summarization and classification
Media analysts	Source and coverage trend analysis
Product managers	Competitive intelligence feeds
Newsletter creators	Automated content curation and briefings

📋 What the Techmeme Scraper does

• Fetches the live Techmeme homepage (updated continuously throughout the day)
• Extracts every curated story cluster: headline, source publication, summary excerpt
• Captures the full related-coverage cluster for each story (multiple publications covering the same event)
• Records the publication date of each story
• Collects thumbnail images where available
• Exports to CSV, Excel, JSON, or XML with one click
• Works without login or API key

💡 Why it matters: Techmeme aggregates thousands of tech articles daily down to ~20 curated story clusters - the signal in a sea of noise. Automating this feed gives you a structured, machine-readable version of the most important tech stories of the day, with source metadata and full related-coverage context that no other single feed provides.

🎬 Full Demo

🚧 Coming soon

⚙️ Input

Field	Type	Required	Description
maxItems	integer	No	Max stories to collect. Free users limited to 10. Default: 10

Example 1 - Quick preview (free users):

{
  "maxItems": 10
}

Example 2 - Full day's stories (paid users):

{
  "maxItems": 100
}

⚠️ Good to Know: Free users are limited to 10 stories per run. Create a free account w/ $5 credit to unlock up to 1,000,000 stories per run.

📊 Output

Each story record contains the following fields:

Field	Type	Description
🖼 imageUrl	string	Thumbnail image URL for the story (null if not available)
📰 title	string	Full headline text of the story
🔗 url	string	Direct link to the primary source article
🌐 source	string	Homepage URL of the primary publication
📰 sourceName	string	Name of the primary publication (e.g. "Wall Street Journal")
📝 summary	string	Brief excerpt or summary from the Techmeme cluster
🔗 relatedLinks	array	Related coverage: array of {title, url, source} objects
📅 publishedAt	string	Publication date in YYYY-MM-DD format
🕒 scrapedAt	string	ISO 8601 timestamp of when the data was collected
❌ error	string	Error message if scraping failed (null otherwise)

Sample output record:

{
  "imageUrl": "https://www.techmeme.com/260521/i14.jpg",
  "title": "The US Commerce Department plans to award $2B in grants to nine quantum computing companies and will take equity stakes; IBM is set to get $1B of the package",
  "url": "https://www.wsj.com/tech/u-s-to-award-quantum-computing-firms-2-billion-and-take-equity-stakes-7382e6be",
  "source": "https://www.wsj.com/",
  "sourceName": "Wall Street Journal",
  "summary": "Trump administration hopes to spur 'a new era of American innovation,' Commerce's Lutnick says - WASHINGTON-The Trump administration ...",
  "relatedLinks": [
    { "title": "NIST", "url": "https://www.nist.gov/news-events/...", "source": "nist.gov" },
    { "title": "Ars Technica", "url": "https://arstechnica.com/...", "source": "arstechnica.com" },
    { "title": "Reuters", "url": "https://www.reuters.com/...", "source": "reuters.com" }
  ],
  "publishedAt": "2026-05-21",
  "scrapedAt": "2026-05-22T02:56:20.061Z",
  "error": null
}

Sample output record 2:

{
  "imageUrl": "https://www.techmeme.com/260521/i44.jpg",
  "title": "Spotify closes up 13% after announcing new features and 2030 guidance, forecasting a compound annual growth rate in the mid-teens and gross margins of 35%-40%",
  "url": "https://www.cnbc.com/2026/05/21/spotify-spot-stock-guidance-investor-day-ai.html",
  "source": "http://www.cnbc.com/",
  "sourceName": "CNBC",
  "summary": "Spotify shares jumped 15% on Thursday after the music streaming platform laid out guidance for 2030 and reached an artificial intelligence deal ...",
  "relatedLinks": [
    { "title": "Mumbrella", "url": "https://mumbrella.com.au/...", "source": "mumbrella.com.au" },
    { "title": "Axios", "url": "https://www.axios.com/...", "source": "axios.com" },
    { "title": "Bloomberg", "url": "https://www.bloomberg.com/...", "source": "bloomberg.com" }
  ],
  "publishedAt": "2026-05-21",
  "scrapedAt": "2026-05-22T02:56:19.995Z",
  "error": null
}

✨ Why choose this Actor

Feature	Details
🎯 Real-time data	Scrapes the live Techmeme homepage - data is as fresh as Techmeme's own feed
🗞 Full cluster coverage	Captures every related article per story cluster, not just the headline
🔗 Clean source attribution	Source name and homepage URL for every primary story and related link
📅 Dated records	Publication date extracted from Techmeme's internal URL structure
🖼 Images included	Thumbnail images where Techmeme provides them
🚀 Fast execution	Single HTTP request, completes in under 5 seconds
🔓 No login required	Public page only - no account, cookie, or API key needed
📦 Export-ready	CSV, JSON, Excel, XML all available out of the box

📈 How it compares to alternatives

Method	Coverage	Speed	Structured data
This Actor	All current Techmeme stories	Under 5 seconds	Yes - all fields
Manual browsing	Limited	Slow	No
RSS feed	Headlines only, no cluster	Fast	Partial
Twitter/X scraping	Fragmented	Slow	No
Building your own scraper	All	Variable	Variable

🚀 How to use

1. Click Try for free on the Techmeme Scraper page
2. Set maxItems to how many stories you want (default 10, up to 1,000,000 for paid users)
3. Click Start and wait a few seconds
4. Download your dataset as CSV, JSON, Excel, or XML

💼 Business use cases

Investor and market intelligence

Track earnings reports, product launches, acquisitions, and layoff announcements as they break on Techmeme. Build alerts for companies in your portfolio by scanning story titles and sources daily.

AI training data

Collect thousands of tech news headlines, summaries, and multi-source coverage clusters as labeled training data for news classification, summarization, and topic modeling models.

Competitive intelligence

Monitor how often your competitors appear in Techmeme coverage and which outlets are writing about them. Identify emerging narratives in your market before they become mainstream.

Media and PR research

Identify which publications break the biggest tech stories first, analyze cluster sizes to gauge story importance, and benchmark coverage across different tech sectors.

🔌 Automating Techmeme Scraper

Connect to your workflow tools with no code:

• Make (Integromat) - Schedule daily runs and push stories to a Google Sheet or Notion database
• Zapier - Trigger emails or Slack messages when new Techmeme stories match keywords
• Slack - Post a daily briefing of top tech stories to your team channel
• Google Sheets - Maintain a running log of tech news for analysis

🌟 Beyond business use cases

Academic research

Track how tech news narratives form and spread across publications. Analyze which stories attract the largest related-coverage clusters as a proxy for news importance.

Personal learning

Build a daily automated briefing of the most-discussed tech topics to stay current without spending hours reading. Filter by keyword in the title to focus on topics you care about.

Non-profit and journalism

Track policy, regulation, and government tech stories as they break. Use the cluster data to understand which angle different publications take on the same story.

Experimentation

Feed Techmeme data into an LLM to generate daily summaries, briefings, or analysis. The structured cluster format maps naturally to "event + perspectives" prompting patterns.

🤖 Ask an AI assistant about this scraper

You can ask Claude, ChatGPT, or any AI assistant:

"How do I use the Techmeme Scraper on Apify to collect today's top tech news stories and export them to a spreadsheet?"

The data format is simple enough that any AI can help you filter, summarize, or transform it once you have the JSON output.

❓ Frequently Asked Questions

❓ How often is Techmeme updated? Techmeme's editors update the site continuously throughout the day. Each run of this actor fetches the current live state of the page.

❓ How many stories does a single run return? The Techmeme homepage typically shows 15-25 curated story clusters at any time. Setting maxItems higher than ~25 will return all available stories on the current page.

❓ What is a "related link" in the output? Techmeme groups multiple publications covering the same story into a cluster. The relatedLinks array contains all the secondary sources that Techmeme has grouped under the primary story.

❓ Does this include the Techmeme River? This actor scrapes the main Techmeme homepage (curated clusters). The River page (techmeme.com/river) is a separate chronological feed and is not included in this version.

❓ Is there a cost to use this actor? Free users get 10 stories per run. Paid Apify plans unlock up to 1,000,000 results. Create a free account w/ $5 credit.

❓ Does it require login or cookies? No. The Techmeme homepage is fully public and server-rendered. No authentication, cookies, or API keys are needed.

❓ How fast is it? A typical run completes in under 5 seconds - it makes a single HTTP request to techmeme.com and parses the HTML.

❓ What format is the publishedAt date? The date is returned in YYYY-MM-DD format (e.g. "2026-05-21"), derived from Techmeme's internal URL structure. Time-of-day is not available from the main page.

❓ Can I filter stories by topic or keyword? Not within the actor input - but you can filter the JSON output by scanning title or sourceName fields after export, or use Make/Zapier to filter on download.

❓ What happens if Techmeme changes its layout? The actor will be updated to match any layout changes. Check the actor version history or follow ParseForge for update notices.

❓ Is the output data normalized? Yes. Source names are extracted from the <cite> element, source URLs from the anchor tag, images from the <img> element, and summaries from the text following the headline - all parsed consistently.

❓ Can I run this on a schedule? Yes - use Apify's built-in scheduler to run this actor daily, hourly, or on any cron schedule. Combine with a Make or Zapier integration to push results anywhere automatically.

🔌 Integrate with any app

Apify connects this actor to 1,000+ apps via webhooks and integrations:

Productivity: Google Sheets, Notion, Airtable, Excel Communication: Slack, Discord, Microsoft Teams, Email Automation: Make (Integromat), Zapier, n8n, Pipedream Databases: PostgreSQL, MySQL, MongoDB, Supabase AI platforms: OpenAI, Anthropic, Hugging Face, LangChain Business intelligence: Tableau, Power BI, Looker, Google Data Studio

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💡 Pro Tip: browse the complete ParseForge collection for scrapers covering 100+ websites - from news and finance to jobs and real estate.

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This actor is not affiliated with, endorsed by, or connected to Techmeme or Gabe Rivera. It scrapes only publicly available information from the Techmeme homepage. Use responsibly and in accordance with Techmeme's terms of service.