Crunchbase News Scraper

Scrape Crunchbase funding news and articles. Built for VCs, deal scouts, founders and AI agents.

📊 Sample Output

slug	published_at	author	category	mentioned_investors	data_source
dextr-ai-hospitality-agents-raises-seed-funding	2026-09-24T13:00:44+00:00	Judy Rider	Artificial intelligence	['Dextr AI', 'Elevation Capital', 'Foundation Capital']	news.crunchbase.com/feed (RSS)
2026-global-gaming-startup-funding-up-ai-meshy-decart	2026-09-24T11:00:12+00:00	Joanna Glasner	Artificial intelligence	['Decart', 'Makers Fund', 'Dream Games', 'Novig', 'Griffin Gaming Par…	news.crunchbase.com/feed (RSS)
megaround-seriesa-ai-chips-robotics-2026	2026-09-23T11:00:38+00:00	Joanna Glasner	Artificial intelligence	['Anthropic', 'OpenAI']	news.crunchbase.com/feed (RSS)
emerging-map-ai-agentic-security-sagie	2026-09-23T11:00:22+00:00	Judy Rider	Artificial intelligence	['Kiteworks', 'Bonfy.AI,', 'Huskeys', 'Blackstone']	news.crunchbase.com/feed (RSS)
verifying-ai-agents-baselayer-35m-raise	2026-09-22T12:00:06+00:00	Judy Rider	Artificial intelligence	['M13', 'Picus Capital', 'Torch Capital', 'Afore Capital', 'Socure']	news.crunchbase.com/feed (RSS)
qa-defense-tech-warning-ai-venture-espahbodi-generational	2026-09-22T11:00:42+00:00	Judy Rider	Artificial intelligence	['Starburst Aerospace', 'Founders Fund', 'SpaceX', 'Anduril Industrie…	news.crunchbase.com/feed (RSS)

Real rows from run pZ1ca61EsKGy6mrEt on build 0.0.12 (2026-09-24), unedited apart from masked emails/phones and shortened long text; fields the source does not publish are empty.

🔧 Input reference

Field	Type	Default	What it does
limit	integer	25	Maximum number of articles to return (1–500). Each article = one dataset row. Larger runs hit additional category pages and pagination. Typical defaults: 25 for monitoring, 100 fo…
category	array of string	[]	Restrict to one or more Crunchbase News sections. Allowed values: 'venture', 'ma', 'startups', 'business', 'public-markets', 'ai', 'fintech', 'health-wellness-biotech', 'cybersecu…
date_range	string (today, week, month, all)	"week"	Restrict to recent articles. Allowed values: 'today' (last 24h), 'week' (last 7 days), 'month' (last 30 days), 'all' (no date filter). Filtering is applied against the article pub…
keyword_filter	array of string	[]	Case-insensitive substrings matched against title + excerpt. Examples: ['Series A','Series B'], ['IPO','SPAC'], ['acquires','acquisition'], ['OpenAI','Anthropic']. Empty = no keyw…
include_full_text	boolean	true	If true, the body_markdown field contains the full converted article body and full_content=true. If false, only excerpt + RSS-supplied summary are returned (cheaper, faster). Reco…

🧾 JSON sample record

One real record from run pZ1ca61EsKGy6mrEt (emails/phones masked, long text shortened):

{
  "title": "Exclusive: From Booking Calls To Late Check-Ins, Dextr AI Raises $6.7M For Hotel AI Agents",
  "slug": "dextr-ai-hospitality-agents-raises-seed-funding",
  "url": "https://news.crunchbase.com/venture/dextr-ai-hospitality-agents-raises-seed-funding/",
  "published_at": "2026-09-24T13:00:44+00:00",
  "author": "Judy Rider",
  "category": "Artificial intelligence",
  "tags": [
    "Communications tech",
    "Venture",
    "Artificial intelligence",
    "Startups",
    "Travel & tourism"
  ],
  "excerpt": "Dextr AI is emerging from stealth with $6.7 million in seed funding to build agents that handle reservations, guest requests, staff coordination and other hotel tasks.",
  "mentioned_companies": [
    "StayNtouch",
    "Cloudbeds",
    "Hostaway",
    "Hilton",
    "Wyndham",
    "Best Western",
    "IHG"
  ],
  "mentioned_investors": [
    "Dextr AI",
    "Elevation Capital",
    "Foundation Capital"
  ],
  "funding_amount_usd": 6700000,
  "round_type": null,
  "full_content": true,
  "body_markdown": "When [Sajid Shariff](https://www.crunchbase.com/person/sajid-shariff) returned to the Bay Area in 2024, he reconnected with people he knew from his years working in hospitality. He asked what had changed since he left the industry during the pandemic. The answer, he said, was that hotels were still challenged by rising labor costs, staffing gaps and pressure to bring in more revenue.\n\nSo Shariff offered to build an AI agent for a couple of properties. The first, called Alfred, answered guest questions and helped with check-ins and check-outs. Within 90 days, he said, online reviews improved at both properties. He then began deploying it at more hotels, before deciding that guest messaging was only one part of the opportunity.\n\nThat work led him to team up with [Scott Arnold](https://www.crunchbase.com/person/scott-arnold-8f92) to start [Dextr AI](https://www.crunchbase.com/organization/dextr-ai) , the San Francisco startup they founded in July 2025. The company is now emerging from stealth with $6.7 million in seed funding to build agents that handle reservations, guest requests, staff coordination and other hotel tasks. [Elevation Capital](https://www.crunchbase.com/organization/elevation-capital-6e8a) led the raise, with participation from [Foundation Capital](https://www.crunchbase.com/organization/foundation-capital) . The round marks Dextr’s first institutional financing.\n\n## From guest requests to bookings\n\n_Scott Arnold, CTO, and Sajid Shariff, CEO, co-founders of Dextr AI. (Courtesy photo)_\n\nAfter early guest management deployments, Dextr turned to incoming calls with a voice reservations agent called Daisy. If a caller has a question about a reservation or something they can’t find on a booking site, answering it could lead to a booking, Shariff found. As hotels began using Daisy, he realized that the phone calls were “leading to revenue.”\n\nIn fact, today, one large hotel that Dextr works with handles $100,000 to $300,000 a month in bookings through the voice agent, according to Shariff.\n\nDextr has since expanded into agents for group bookings, staff management and other work. Its goal is to connect those agents so information gathered in one part of a hotel can prompt action in another. For example, if a guest declines housekeeping, a guest management agent could pass that information to an operations agent so that staff schedules could be adjusted accordingly.\n\nAnother use case could involve a property operating without an overnight front desk employee. A guest arriving late could call the hotel, have Daisy verify their reservation and receive instructions for entering their room. Daisy and Alfred, Dextr’s guest management agent, would work together to handle the arrival.\n\nFor some properties, using agents to handle late check-ins could remove the need to staff an overnight front desk shift. Shariff estimated that such a shift could cost a property from $70,000 to $80,000 a year in a market such as California.\n\n“It was very hard to hire for these shifts to begin with,” he said.\n\n## Building ROI\n\nShariff says combining agents is just one of three things that set Dextr apart from other hotel AI tools. An agent that answers calls or messages can handle a particular task, he said, but connecting it with other agents opens up additional uses for a property.\n\n“It’s important that we do multiple use cases to see the higher ROI,” he told Crunchbase News in an interview.\n\nThe second distinction, according to Shariff, is Dextr’s approach to getting the agents running. Putting them to work takes more than installing software, he said. Every hotel differs from another in how it manages reservations, assigns staff, and handles guest requests. So Dextr sends engineers to work directly with customers, identify where agents could be useful and then connect them to existing systems. Those engineers stay involved as the property puts the agents to use, he said, and work to find applications that have the potential to deliver a return on investment.\n\n“Every property, every operation is different in this space,” he said. Dextr integrates with property management systems including Oracle Hospitality, OPERA Cloud, [StayNtouch](https://www.crunchbase.com/organization/stayntouch) , [Cloudbeds](https://www.crunchbase.com/organization/cloudbeds) and [Hostaway](https://www.crunchbase.com/organization/hostaway) .\n\nThe third is how employees use the agents. They can direct them by text or voice through a companion called Doss, without having to learn a series of steps in a new software system. Shariff said frequent turnover makes it difficult for hotels to train staff on complicated tools and retain that knowledge when employees leave. With Doss, “you can call it, you can talk to it, you can text it,” he said.\n\n## Hotels and more\n\nDextr says its agents now handle more than 1 million interactions a month across hundreds of hotels. The startup’s customers range from a 21-room property to one with 550 rooms. They include independent hotels and properties operating under the [Hilton](https://www.crunchbase.com/organization/hilton-worldwide) , [Wyndham](https://www.crunchbase.com/organization/wyndham-hotel-group) , [Best Western](https://www.crunchbase.com/organization/best-western-denmark) and [IHG](https://www.crunchbase.com/organization/ihg-hotels-resorts) brands, as well as reservation centers, vacation rentals and outdoor hospitality businesses.\n\nThe startup works directly with the owners and operators of those branded properties, Shariff said, and is beginning its first direct relationship with a hotel brand that he declined to name. It also works with hotel and property management companies, as well as reservation centers, vacation rentals and outdoor hospitality venues such as campgrounds, RV parks, lodges and golf courses.\n\nThe company charges a subscription based on the property and the agents it uses, with usage-based fees for some agents. Shariff declined to disclose revenue, profitability or the round’s valuation. After spending much of last year on pilot projects, he said, Dextr began growing more quickly this spring. He said annual recurring revenue has been growing about 20% to 30% month over month, though he did not disclose hard figures.\n\nDextr plans to use its new funding to hire more engineers who work directly with customers, expand its software integrations, and develop additional agents. Its team has grown from three people a year ago to 21.\n\n[Krishna Mehra](https://www.crunchbase.com/person/krishna-mehra) , an AI partner at Elevation Capital, told Crunchbase News that Dextr’s early traction got the firm’s attention. He pointed to customers using the agents to generate bookings and upsells alongside reducing operating costs.\n\n“What stood out immediately was Sajid and Scott’s execution. Dextr scaled to [hundreds of] contracted properties and meaningful ARR without raising a single dollar,” he wrote via email. “In a space where most AI companies are still searching for product-market fit, Dextr had customers, zero churn, and a clear ROI story. That combination of founder quality and early traction is exactly what we look for at Elevation.”\n\n## Related Crunchbase query:\n\n- [Global Venture Funding To AI Startups In 2026](https://www.crunchbase.com/discover/saved/rounds-raised-by-startups-using-ai/8d1833bf-ff51-4c7b-9c84-3535ebc7c063/)\n\nIllustration: [Dom Guzman](https://www.domguzman.com/)",
  "data_source": "news.crunchbase.com/feed (RSS)"
}

💰 Pricing

Event	Price (USD)	When it is charged
Actor Start (apify-actor-start)	$0.01	Charged when the Actor starts running. Number of events charged depends on Actor memory (one event per GB, minimum one event).
News article (apify-default-dataset-item)	$0.1	Single Crunchbase News article record (title, URL, published_at, author, category, tags, excerpt, mentioned companies/investors, funding am…

Pay-per-event: you pay only for what the run delivers. A run that delivers nothing bills no result events (only the actor-start event, when the actor defines one). Example: a run that delivers 100 results costs 100 × $0.1 = $10.00 plus the start fee.

🔗 Related Actors

More from the NexGenData Startup, VC & funding family:

• a16z Portfolio Scraper — VC Portfolio Companies API
• AngelList Startup Search — Deal Sourcing API
• Bessemer Portfolio Scraper — VC Portfolio API
• Founders Fund Portfolio Scraper — Portfolio API
• Greylock Portfolio Scraper — VC Portfolio API
• Hacker News Trends — Topic, Engagement & Viral-Story Analytics

10 more in this family on the NexGenData Store page.

⏰ Run this as a funding-news watch (recommended)

Every IP registry actor is a monitoring subscription, not a one-shot lookup. Schedule a weekly sweep and catch new filings as they land:

{
  "query": "Series A",
  "limit": 100
}

Weekly cron (0 8 * * 1) turns this into an always-on funding-news watch.

📊 What you get

Clean JSON, one record per article (full output has 15 fields):

• author — Author
• body_markdown — Body markdown
• category — Category
• excerpt — Excerpt
• full_content — Full content
• funding_amount_usd — Funding amount usd
• mentioned_companies — Mentioned companies
• mentioned_investors — Mentioned investors
• published_at — Published at
• round_type — Round type

Pricing: $0.10 per article (Pay-Per-Event) — about 10 articles per $1.

🤖 Use with AI agents

Point Claude, the OpenAI Agents SDK, an n8n flow or any MCP-aware client at it and run Crunchbase funding news and articles on demand.

Sample agent prompt:

Pull today's Crunchbase funding news and the companies and amounts mentioned.

Agentic payments (x402): Supports agentic payment via x402 — agents can call this actor with USDC, no API key required.

🔗 Related funding actors

Startup funding & deal-sourcing web: Startup Funding Tracker, Form D Scraper, Form D Tracker, Private Funding Intelligence, Pre-IPO Secondary Prices

Funding → outreach chain (a funding event is a lead): Company Enrichment, Email/Contact Extractor, B2B Leads Finder

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Data from public funding, filing and directory sources.