BetaList Scraper | Startups, Websites and Contacts

BetaList Startup Scraper | New Startup Launches with Websites, Emails and Social Profiles (2026)

From SilentFlow. Creators of Facebook Search Scraper and JD Products Scraper (#1 for “jd scraper” in Apify Store search), with 940,000+ combined lifetime runs.

Turn BetaList's daily startup launches into a lead list you can act on: find startups by keyword, topic, category or featured date, and get each one with its real website, the emails it publishes and its social profiles. 20 SaaS startups in 11 seconds in our test, 14 of them with an email.

Why choose this actor?

Copying BetaList startups one by one, clicking "Visit Site", then digging through each homepage for an email? Looking for the CRM or invoicing startups, without knowing their names? Want the startups that launched last week, or in March 2024, and nothing else?

• Find startups by what they do. Type a keyword such as crm and get the BetaList startups that match it, across BetaList's history since 2010: 30 matching startups in 28 seconds in our test, each read in full with its website contacts. No need to crawl the full catalog or to collect startup links by hand first.
• Pull this week's launches, or any past week. Set a featured date window and the run keeps only the startups BetaList featured in it. "Last 3 days" gave 30 startups in 16 seconds, all featured between 8 and 10 November 2026. For 4 and 5 March 2024, the run went straight to that day of the feed and returned the 11 startups of those two days in 13 seconds.
• Reach the founders: real website, emails and social profiles. Every row carries the startup's own address, not a BetaList redirect, plus the emails, phone and X, LinkedIn, Facebook, Instagram, YouTube, TikTok and GitHub profiles its website publishes. On our SaaS run, 20 of 20 rows had the website, 14 had an email, 8 an X profile and 7 a LinkedIn page; on the 3-day run, 23 of 30 had an email. Each row also says whether the website still answers: on a crm search reaching back to 2015, 14 of 30 startups had a site that is gone, flagged so you drop them before outreach.

Try your first startup

Paste this input and press Start. It reads the 20 newest startups of BetaList's SaaS topic, opens each startup's website and adds its public contacts.

{
    "topics": ["SaaS"],
    "maxItems": 20,
    "includeContacts": true
}

The Apify Free plan is enough to try it: this run took 11 to 13 seconds in our tests and gives you a table you can download as JSON, CSV or Excel, or open in Google Sheets.

Copy to your AI assistant

Paste this block into Claude, ChatGPT or Cursor so it knows how to use this actor:

You have access to the BetaList Scraper on Apify: silentflow/betalist-scraper

What it does: reads startups from BetaList (betalist.com), the directory of early-stage
and pre-launch startups, then reads each startup in full and, by default, its own website
for public contacts. One dataset row per startup.

Input (all optional; with no keyword, topic or link it reads the latest startups feed):
- searchQueries (array of strings): keywords typed in BetaList search, such as "crm",
  "fintech". Results come in relevance order, across BetaList's history since 2010.
- topics (array of strings): topic names or slugs ("SaaS", "Generative AI", "fintech"),
  category names ("AI", "Finance", "Dev Tools", "Marketing"; a category reads all its topics,
  newest first), or BetaList topic and category links.
- startUrls (array of {"url": "..."}): BetaList startup pages (https://betalist.com/startups/parroli),
  topic pages (https://betalist.com/browse/ai/generative-ai), category pages
  (https://betalist.com/browse/finance), searches (https://betalist.com/search?q=crm),
  regions (https://betalist.com/regions/france), maker profiles (https://betalist.com/@everygenai)
  or the latest feed (https://betalist.com/startups).
- featuredAfter (string): first featured day kept, "2026-11-01" or a span such as "7 days".
- featuredBefore (string): last featured day kept, included, "2026-10-31".
- maxItems (integer, default 50): total startups for the run.
- includeContacts (boolean, default true): open each startup's website for emails, phone
  and social profiles.
- resumeCursor (array of dataset IDs): datasets of earlier runs of this actor. The startups
  they delivered are skipped, not read nor charged again, and the run continues with the rest.

Output per startup (30 fields):
- id (integer, BetaList startup id), slug (string), url (string, BetaList page), name (string),
  tagline (string or null)
- description (string or null, paragraphs separated by blank lines), topics (array of strings),
  categories (array of strings), makers (array of {name, username, profileUrl, avatarUrl}),
  isBoosted (boolean)
- website (string or null, the startup's own address), websiteDomain (string or null),
  isWebsiteLive (boolean or null)
- email (string or null, first email, own domain first), emails (array of strings),
  phone (string or null), twitterUrl, linkedinUrl, facebookUrl, instagramUrl, youtubeUrl,
  tiktokUrl, githubUrl (strings or null)
- location (string or null), featuredAt (RFC 3339 UTC, the day BetaList featured the startup)
- logoUrl, imageUrl (strings or null), screenshots (array of strings)
- foundBy (string: "latest", "topic:saas", "category:ai", "search:crm", "url:parroli"...),
  scrapedAt (RFC 3339)

Use apify-client for Python or JavaScript, or the Apify API, to run it and read the dataset.

How to scrape BetaList startups

Get this week's new startups

Leave the keyword, topic and link fields empty and set a start date: the actor reads BetaList's latest startups feed and stops at the first startup featured before your date.

{
    "featuredAfter": "7 days",
    "maxItems": 100
}

Build a lead list of new fintech startups with emails

A topic name is enough. The run reads the topic newest first, keeps the last month, and adds the website contacts of each startup.

{
    "topics": ["Fintech"],
    "featuredAfter": "1 month",
    "maxItems": 100,
    "includeContacts": true
}

Combine keywords, a category and a date

Every source runs in the same run, and a startup found by two of them is delivered once.

{
    "searchQueries": ["crm"],
    "topics": ["Sales"],
    "featuredAfter": "2026-01-01",
    "maxItems": 200
}

Input parameters

Parameter	Type	Default	What it does
searchQueries	array of strings	none	Keywords typed in BetaList search. Up to 60 best matches per keyword, by relevance, from 2010 to today.
topics	array of strings	none (prefilled with SaaS)	Topic names, slugs or links, and category names. A category reads all of its topics, newest startups first.
startUrls	array of links	none	BetaList startup, topic, category, search, region, maker and latest feed pages.
featuredAfter	date or span	none	First featured day to keep, included: 2026-11-01, 7 days, 2 weeks, 1 month.
featuredBefore	date or span	none	Last featured day to keep, included.
maxItems	integer	50	Total startups for the run, across every keyword, topic and link.
includeContacts	boolean	true	Open each startup's website and add its emails, phone and social profiles, and whether it is still online.
resumeCursor	list of datasets	none	Datasets of earlier runs of this actor. The startups they delivered are skipped and not charged again; the run continues with the rest.

With every field empty, the actor reads the latest startups feed, the list BetaList shows on its front page.

Topics and categories

• Topics are BetaList's fine-grained tags, such as SaaS, Generative AI, Fintech, Productivity Tools or Remote Work. Type the name as BetaList shows it (Generative AI), its slug (generative-ai), or paste the topic page link. A name BetaList does not know is named in the run log and the run carries on with the rest.
• Categories group the topics: AI, Commerce, Customer Support, Data & Analytics, Design & Creative, Dev Tools, Education, Energy & Environment, Finance, Government & Defense, Hardware, Health, HR & Recruiting, Industrial, Legal, Marketing, Media & Content, Productivity, Sales, Security & Privacy, Social & Community, Travel & Hospitality. A category reads every one of its topics and merges them into one list, newest startup first.

Links the actor understands

• Startup pages: https://betalist.com/startups/parroli. The startup is read in full. Startup links always run first, so a low maxItems never leaves them out.
• Topic and category pages: https://betalist.com/browse/ai/generative-ai, https://betalist.com/browse/finance, and old topic links such as https://betalist.com/topics/fintech.
• Searches: https://betalist.com/search?q=crm.
• Regions: https://betalist.com/regions/france, https://betalist.com/regions/united-states. BetaList filed startups by country in its earlier years, so region pages list mostly older startups.
• Maker profiles: https://betalist.com/@everygenai, read as the startups that maker built.
• The latest feed: https://betalist.com/startups, from page 1 or from any page you paste (?page=40).

Resume from earlier runs

A run that stops at its maxItems or its timeout ends its log with a line such as To pick up where this run stopped, add WkzbQMuFYuamGv3YF to "Resume from earlier runs". Pick that dataset in the field, or pass its ID through the API, keep the rest of the input as it was, and start again: the startups the earlier run delivered are skipped before they are read, so you never pay twice for the same startup, and the new run delivers the next ones. If you resume a run that was itself resumed, the log names every dataset of the chain: add them all. A run the platform restarts on its own also carries on from the rows it already saved, without delivering them twice.

Dates

featuredAfter and featuredBefore take a day (2026-10-01), a full timestamp, or a span back from today (7 days, 2 weeks, 3 months, 1 year, today, yesterday). BetaList features startups by the day, so both ends are whole days, included. On the latest feed and on topics, newest first, the run stops at the first startups featured before the window; with featuredBefore on the latest feed it goes straight to the right day instead of reading every newer page. On keyword searches, which come by relevance, dates filter what the search returns.

What data can you extract from BetaList?

Every row is one startup, with 30 fields grouped the way you would read a profile:

• Identity: id (BetaList's own startup id, stable across runs and the best key to de-duplicate), slug, url (the permanent BetaList page), name, tagline.
• Content: description (the full text of the BetaList page, paragraphs kept), topics (BetaList topics, usually 5), categories (the categories those topics belong to), makers (each maker credited, with name, username, profileUrl and avatarUrl), isBoosted (startups shown with BetaList's BOOSTED badge during the run).
• Website: website (the startup's own address, with BetaList's referral tags removed), websiteDomain, isWebsiteLive (whether the site answered during the run, so you can drop startups that are gone).
• Contacts: email (the first email, the startup's own domain first), emails (all of them, up to 10), phone, and the profiles twitterUrl, linkedinUrl, facebookUrl, instagramUrl, youtubeUrl, tiktokUrl, githubUrl. They come from the startup's homepage, and from its contact page when the homepage shows no email. Share buttons, tracking links and form placeholders such as you@company.com are left out.
• Place and time: location (city and country, on startups BetaList filed by region), featuredAt (the day BetaList featured the startup, RFC 3339 UTC).
• Media: logoUrl, imageUrl (the main picture), screenshots (every image of the BetaList page).
• Meta: foundBy (which keyword, topic, category, link or feed found the row), scrapedAt.

Absent values are null, lists are [], never an empty string, so filters and joins behave. The dataset has three views: Startups (name, tagline, website, email, LinkedIn, topics, featured day, BetaList page), Contacts (every contact column side by side) and Details (description, categories, makers, logo, screenshots).

Output example

A real row from our SaaS test run, screenshots shortened.

{
    "id": 191933,
    "slug": "kelbado-lms",
    "url": "https://betalist.com/startups/kelbado-lms",
    "name": "Kelbado LMS",
    "tagline": "Build and manage courses via chat with AI and export to SCORM",
    "description": "Kelbado is an AI-powered learning management platform that lets you create, assign, and track courses directly in chat. Describe your topic and audience, and it assembles lessons, tests, and voiceovers in over 30 languages. You can manage enrollments, request reports, and monitor progress from a single conversation. Export SCORM 1.2 or 2004 files, publish on the platform, apply your branding, and integrate with existing LMS and xAPI for analytics. Teams can launch training faster and keep everything in one place.",
    "topics": ["SaaS", "Web Tools", "Online Learning", "Corporate Training", "Artificial Intelligence"],
    "categories": ["Productivity", "Education", "AI"],
    "makers": [
        {
            "name": "kelbado",
            "username": "kelbado",
            "profileUrl": "https://betalist.com/@kelbado",
            "avatarUrl": null
        }
    ],
    "isBoosted": false,
    "website": "https://kelbado.eu/",
    "websiteDomain": "kelbado.eu",
    "isWebsiteLive": true,
    "email": "support@kelbado.eu",
    "emails": ["support@kelbado.eu"],
    "phone": null,
    "twitterUrl": "https://x.com/kelbado_lms",
    "linkedinUrl": "https://www.linkedin.com/company/kelbado-lms",
    "facebookUrl": null,
    "instagramUrl": null,
    "youtubeUrl": "https://www.youtube.com/@kelbado-lms",
    "tiktokUrl": null,
    "githubUrl": null,
    "location": null,
    "featuredAt": "2026-11-06T00:00:00Z",
    "logoUrl": "https://cdn.betalist.com/ogesbjl2tzbmhbwoeu864xe1m5um",
    "imageUrl": "https://resize.imagekit.co/pJxZraLsv5pE8XQdxfOJUcVDB__qwkcAtYWrNKMOgyo/plain/s3://betalist-production/x7olpsz8rvmmcdy1vjebvs4fnvd9",
    "screenshots": [
        "https://resize.imagekit.co/sBaenhO2z05HIHHXcpXDcmpQTE95-CjWFUeaiUTvSLA/h:300/dpr:2/bg:ffffff/plain/s3://betalist-production/x7olpsz8rvmmcdy1vjebvs4fnvd9"
    ],
    "foundBy": "topic:saas",
    "scrapedAt": "2026-11-10T03:59:48Z"
}

Advanced usage

Get every new launch in your inbox each Monday

Schedule this input weekly in Apify (Schedules, every Monday morning). Each run delivers the startups featured over the past 7 days with their contacts, ready for a Google Sheets or CRM integration.

{
    "featuredAfter": "7 days",
    "maxItems": 500,
    "includeContacts": true
}

Study a past month of launches

Set both dates for a window in the past: the run goes to that day of the latest feed and stops at the end of the window. Useful to compare what launched in a quarter, or to backtest a scouting thesis.

{
    "featuredAfter": "2024-03-01",
    "featuredBefore": "2024-03-31",
    "maxItems": 500,
    "includeContacts": false
}

Crawl the whole catalog in several runs

BetaList holds about 28,000 startups. Read them in slices of a few thousand: the first run starts from the newest launch, and each next run resumes from the datasets of the runs before it, so a slice never repeats a startup you already have. In our local test, a SaaS run of 6 startups resumed from the 6 of the run before it delivered the next 6 of the topic, with no startup twice.

{
    "maxItems": 5000,
    "includeContacts": false,
    "resumeCursor": ["WkzbQMuFYuamGv3YF"]
}

Enrich a list of BetaList links you already have

Paste startup pages from a spreadsheet: each one comes back with its website, contacts, makers, topics and featured day.

{
    "startUrls": [
        { "url": "https://betalist.com/startups/parroli" },
        { "url": "https://betalist.com/startups/everygen-ai" },
        { "url": "https://betalist.com/startups/recoupmrr" }
    ]
}

Watch a whole category for a sector report

A category merges all of its topics, newest first. Here, every AI startup featured in the last 30 days, without the contacts to keep the run short.

{
    "topics": ["AI"],
    "featuredAfter": "30 days",
    "maxItems": 300,
    "includeContacts": false
}

Follow a country or a maker

Region pages and maker profiles work like any other source. Startups found by both are delivered once, and foundBy tells you where each row came from.

{
    "startUrls": [
        { "url": "https://betalist.com/regions/france" },
        { "url": "https://betalist.com/@everygenai" }
    ],
    "maxItems": 100
}

FAQ

What is BetaList? BetaList (betalist.com) is a directory of early-stage startups, where founders submit their product before or right after launch to get their first users. It features a handful of new startups every day: 30 over the 3 days before our test, and about 28,000 since 2010. Think of it as an earlier, smaller Product Hunt, focused on pre-launch and beta products.

What does this actor extract from BetaList? Startups. Each row has the name, tagline, full description, topics and categories, makers, featured day, logo and screenshots from BetaList, the startup's real website, and by default the emails, phone and social profiles that website publishes.

Where do the emails come from, and are they real? From the startup's own website: its homepage, and its contact page when the homepage shows none. They are the addresses the startup publishes for the public (hello@, support@, contact@ and founders' addresses when they list them). Form examples such as you@company.com or name@example.com are dropped. In our SaaS test, 14 of 20 startups had at least one email; on keyword searches that reach older startups, fewer sites are still online and fewer emails come back (6 of 25 for "crm").

Do I need a BetaList account? No. The actor reads what BetaList shows to any visitor, without signing in, and the startups' websites as any visitor would.

How fresh is the data? Live. Every run reads BetaList and the websites at that moment, nothing is cached. featuredAt is the day BetaList featured the startup, and isWebsiteLive says whether the website answered during your run.

How many startups can I get? There is no fixed limit: set maxItems to what you need. A topic or the latest feed goes as deep as BetaList's history. A keyword search gives its 60 best matches by relevance. In our tests, 20 startups with their contacts took 11 to 13 seconds and 30 took 16 seconds.

My run stopped at its limit or its timeout. Do I pay again to get the rest? No. Start a new run with the same input and add the dataset of the stopped run to resumeCursor ("Resume from earlier runs"): its ID is on the last lines of that run's log. The startups it delivered are skipped before they are read and are not charged again, and the new run carries on with the next ones.

Can I run several keywords, topics and links at once? Yes. All sources run in one go: startup links first, then keywords, topics and the other links, in the order you give them. A startup found by two sources is delivered once, and maxItems is the total for the run.

Why do some rows have no email or no social profiles? Because the startup's website does not publish one, or because the site is gone (isWebsiteLive: false), which is common for startups featured years ago. The row still ships with everything BetaList shows. Turn includeContacts off if you only need the BetaList data.

Why are some maker names empty? Some makers never filled in a display name on BetaList: their row in makers keeps the username and the profile link, with name: null. In our SaaS test, 17 of 20 startups had a named maker.

What does isBoosted mean? Startups can pay BetaList to be boosted: they appear with a BOOSTED badge in extra places across the site. isBoosted is true when the run saw that badge on the startup. On the latest feed with no dates, boosted startups appear in the order BetaList shows them, as on its front page; on topics and searches they appear only where they really belong.

Are the links permanent? url (the BetaList page) and website are permanent addresses. logoUrl, imageUrl and screenshots are BetaList image links that work as long as the startup keeps its page; download them if you archive the data.

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• Zapimoveis - Zapimoveis Scraper | Real Estate Listings and Prices
• Zillow - Zillow Scraper
• Airbnb Search - Airbnb Search Scraper | Prices, Fees, Amenities, Hosts
• Airbnb Search - Airbnb Search Scraper
• Anjuke - Anjuke Scraper | Rental Listings, Prices and Agents
• Idealista - Idealista Scraper
• Realtor Rental - Realtor Rental Scraper
• SeLoger - SeLoger Products Scraper | Property Listings and Agencies
• Trulia Rental - Trulia Rental Scraper | US Rentals, Prices, Pet Policy

📣 Social media

• Douyin - Douyin Transcript Scraper | Subtitles and Speech to Text
• Facebook Search - Facebook Search Scraper
• LinkedIn Post Search - LinkedIn Post Search Scraper | Keywords, Hashtags & Profiles
• Instagram - Instagram Story Scraper | Stories & Highlights
• Facebook Search - Facebook Search Profiles Scraper | People by Name or Keyword
• LinkedIn Leads - LinkedIn Leads Scraper | Sales Navigator Export
• TikTok Creative - TikTok Creative Ads Scraper | Top Ads, Landing Pages & Metrics
• TikTok Trend - TikTok Trend Scraper | Trending Hashtags and Videos
• OnlyFans - OnlyFans Profile Scraper
• Discord - Discord Scraper | Servers, Member Counts and Invites
• Pinterest - Pinterest Ads Scraper | Ad Library, Reach & Targeting
• Discord - Discord Profiles Scraper | Users, Badges and Server Tags
• LinkedIn Ads Library - No Cookies - LinkedIn Ads Library Scraper - No Cookies
• LinkedIn Hashtag & - LinkedIn Hashtag & Post Scraper | No Cookies
• LinkedIn Sales Navigator - LinkedIn Sales Navigator Scraper
• Reddit - Reddit Scraper | Posts, Comments and Subreddits
• Snapchat - Snapchat Contacts Scraper | Phones, Emails and Websites
• Snapchat - Snapchat Videos Scraper | Spotlight Videos, MP4 and Stats
• TwitchTracker - TwitchTracker Scraper | Twitch Streamer Stats and Rankings
• YouTube - YouTube Channel Scraper | Videos, Shorts and Views
• Bilibili - Bilibili Scraper | Videos, Profiles, Comments, Danmaku
• Facebook Business Page - Facebook Business Page Scraper
• Kwai - Kwai Scraper | Videos, Creators and Hashtags
• Likee - Likee Scraper | Videos, Hashtags and Creators
• LinkedIn Event - LinkedIn Event Scraper
• LinkedIn People Search - LinkedIn People Search Scraper | Profiles & Companies
• Meta Ad Library - Meta Ad Library Scraper
• Bandsintown - Bandsintown Scraper | Concerts and Tour Dates
• Bluesky - Bluesky Scraper | Posts, Profiles and Followers
• Douyin - Douyin Comments Scraper | Comments, Likes and IP Regions
• Douyin - Douyin Hashtags Scraper | Views, Creators and Topics
• Facebook Thread - Facebook Thread Profiles Scraper | Followers, Bios & Engagement
• Kuaishou - Kuaishou Scraper | Videos, Comments and Creator Stats
• LoyalFans - LoyalFans Scraper | Creator Profiles and Prices
• Pinterest - Pinterest Profiles Scraper | Followers, Emails and Bios
• Pinterest - Pinterest Videos Scraper | Video Downloader, MP4 Links, Stats
• Pornhub - Pornhub Videos Scraper | Search, Tags and Stream Links
• Reddit - Reddit Comments Scraper | Search, Threads and Replies
• Reddit - Reddit Profiles Scraper | User Karma, Activity and Communities
• RedNote - RedNote Videos Scraper | Downloader, Transcripts and Stats
• Skool Community - Skool Community Scraper
• Telegram - Telegram Posts Scraper | Views, Reactions and Comments
• Telegram - Telegram Scraper | Channel Posts, Views and Reactions
• TikTok Lookalike - TikTok Lookalike Scraper | Influencers, Emails and Engagement
• TikTok - TikTok Scraper
• Twitch - Twitch Contacts Scraper | Emails and Social Links
• Twitch - Twitch Scraper | Streamers, Emails and Clips
• YouTube Autocomplete - YouTube Autocomplete Scraper | Keyword Suggestions
• Facebook - Facebook Company Scraper | Emails, Phones, Ratings
• Instagram Engagement - Instagram Engagement Scraper
• OnlyFans - OnlyFans Profiles Scraper | Creator Prices, Stats & Links
• OnlyFans - OnlyFans Creator Scraper
• Reddit - Reddit Scraper | Comments, Posts and Users
• RedNote - RedNote Detail Scraper | Xiaohongshu Details, Images, Videos
• Skool Group - Skool Group Scraper
• Snapchat - Snapchat Ads Scraper | Ad Library, Impressions & Targeting
• Telegram - Telegram Comments Scraper | Replies, Authors and Reactions
• Weibo - Weibo Scraper | Posts, Profiles, Followers and Engagement
• X Timeline - X Timeline Scraper | Tweets and Engagement Stats
• Xigua - Xigua Scraper | Videos, Creators and Downloads
• YouTube - YouTube Transcript Scraper

🏢 Business data

• LinkedIn Company Search - LinkedIn Company Search Scraper | Profiles & Firmographics
• Teachable Course - Teachable Course Scraper
• Website Tech Stack - Website Tech Stack Scraper
• Teachable - Courses, Prices & Instructors - Teachable Scraper - Courses, Prices & Instructors
• Trustpilot - Trustpilot Scraper | Reviews, Ratings and Company Contacts

✈️ Travel

• Tencent - Tencent Scraper | Maps Places, Phones and Ratings
• Viator - Viator Reviews Scraper | Tour Reviews and Ratings
• 2GIS - 2GIS Reviews Scraper | Ratings, Photos and Owner Replies
• Apple Maps - Apple Maps Scraper | Places, Phones and Emails
• Booking.com Hotel - Booking.com Hotel Scraper
• Despegar - Despegar Reviews Scraper | Hotel Reviews and Ratings
• Flight Price - Flight Price Scraper
• Kakao - Kakao Scraper | Map Places, Reviews and Phones
• Mafengwo - Mafengwo Scraper | Attractions, Ratings and Tickets
• OpenTable - OpenTable Reviews Scraper | Restaurant Reviews and Ratings
• TheFork - TheFork Scraper | Restaurants, Menus and Ratings
• Trip - Trip Reviews Scraper | Hotel Reviews and Ratings
• Zomato - Zomato Reviews Scraper | Restaurant Ratings and Replies
• Booking - Booking Scraper | Hotel Prices, Photos, Availability
• Google Maps - Google Maps Scraper

🎯 Lead generation

• Northdata - Northdata Company Scraper
• Dealroom - Dealroom Scraper | Companies and Investors
• UK Companies House - UK Companies House Enricher
• ZocDoc - ZocDoc Scraper | Doctors, Reviews and Availability
• PagesJaunes - PagesJaunes Scraper | French Business Emails and SIRET
• Similarweb - Similarweb Scraper | Website Traffic, Rankings and Competitors
• SIRET - SIRET Company Enricher
• BuiltWith - BuiltWith Scraper | Tech Stacks and Top Sites
• KVK - KVK Scraper | Dutch Companies and SBI Codes
• Dealroom Startup Data - Dealroom Startup Data Scraper
• Justdial - Justdial Companies Scraper | Business Leads, Phones and Emails
• PagesJaunes - PagesJaunes Business Scraper
• ThomasNet Suppliers - ThomasNet Suppliers Scraper
• ALEO - ALEO Scraper | Polish Companies and Financials
• BBB - BBB Scraper | Ratings, Reviews and Complaints
• Clutch - Clutch Scraper | Agencies, Reviews, Ratings, Services
• CNPJ Brazilian - CNPJ Brazilian Company Enricher
• Company Data - Company Data Scraper | Emails, Phones and Tech Stack
• CSLB - CSLB Scraper | Contractor Licenses, Bonds and Leads
• Delaware - Delaware Scraper | Corporations, LLCs and Registered Agents
• French Company Prospector - French Company Prospector
• G2 - G2 Reviews Scraper
• Paginasamarillas - Paginasamarillas Scraper | Business Leads, Emails and Phones
• Pappers - Pappers Scraper | French Companies, Directors & Financials
• SEC - SEC Scraper | EDGAR Filings and Company Data
• SoftwareAdvice - SoftwareAdvice Scraper | Reviews, Ratings and Pros & Cons
• Sunbiz - Sunbiz Companies Scraper | New Florida Business Leads
• Sunbiz - Sunbiz Scraper | Florida Companies and Officers
• TrustRadius - TrustRadius Reviews Scraper | Ratings, Pros and Cons
• USPTO - USPTO Scraper | Trademark Search and Status
• Clutch Agency - Clutch Agency Scraper
• Domain - Domain Enricher
• Google Ads Transparency - Google Ads Transparency Scraper
• SIRET French - SIRET French Company Enricher
• ZocDoc - ZocDoc Scraper

🔎 SEO

• SpyFu - SpyFu Scraper | SEO, PPC and Competitor Data
• Scribd - Scribd Scraper | Documents, Authors and Views
• Apple - Apple Reviews Scraper | App Store Reviews and Ratings
• Bing - Bing Enricher Scraper | Mobile Friendly Test and Indexing
• Google News - Google News Scraper
• Yandexsearch - Yandexsearch Scraper | Search Results and Rankings

🎬 Video

• Pexels - Pexels Scraper | Photos, Videos and Download Stats

📰 News

• ForexFactory - ForexFactory Scraper | Economic Calendar and Forecasts
• FT - FT Scraper | Financial Times Articles, Authors and Topics
• Bloomberg - Bloomberg Scraper | News Articles and Full Text
• OpenAI - OpenAI Scraper | News, Blog Posts and Research

🧰 More tools

• FanDuel - FanDuel Scraper | Odds, Spreads and Player Props
• PrizePicks - PrizePicks Scraper | Player Props, Lines and Projections
• Equibase - Equibase Scraper | Horse Racing Entries and Results
• Maersk - Maersk Scraper | Vessel Schedules and Port Calls
• Screener - Screener Scraper | Stock Fundamentals, NSE & BSE

Support

Need something this actor does not do yet? We ship features fast.

• Feature requests go straight to our backlog
• Enterprise needs? We do custom integrations and high-volume plans
• Pricing questions? Check the Monetization tab on the actor page

Response time: usually under 24 hours.

Legal compliance

This actor extracts publicly available data from BetaList and from the public websites of the startups it lists. It does not bypass any login, paywall or CAPTCHA, and it only reads contact details that a startup publishes on its own site. Users are responsible for complying with BetaList's terms of service and with applicable data protection and anti-spam laws (GDPR, CCPA, and PIPL where relevant). Rows can contain personal data, such as makers' names and profiles or a founder's email address: store and process them accordingly, have a lawful basis before contacting anyone, and honor opt-out requests. The data returned is informational; verify it before using it for regulated decisions.

BetaList Scraper by SilentFlow: every new startup on BetaList, with a way to reach it.