Vimeo Email Scraper - Keyword & Location Targeting

Vimeo Email Scraper

Vimeo Email Scraper helps you build a Vimeo contact list fast by extracting email addresses tied to publicly available Vimeo profiles. It works great for Vimeo email extraction and Vimeo lead generation, especially when you want automated outreach lists at scale instead of manual searching.

---

What Does Vimeo Email Scraper Do? 🤖

Vimeo Email Scraper scrapes data from publicly available Vimeo profiles using your input keywords, optional location targeting, and email-domain filters. During a run, it collects and filters results, extracts email addresses, and exports them to your Apify dataset. The output is structured so you can use it as a Vimeo contact scraper, automate Vimeo email collection, or power video platform email scraping workflows.

You control how broad the search is with keywords, how targeted it gets with location, and which emails you accept with customDomains (for example, @gmail.com).

---

What Can Vimeo Email Scraper Extract? 📊

This actor focuses on one outcome—collecting email contacts from Vimeo—and it packages each lead with useful context so you can quickly evaluate relevance before outreach.

Data Type	Field Name	Description
Contact	email	The primary email address found in the Vimeo profile content (filtered by your customDomains).
Identity	title	The profile name or handle associated with the result.
Context	description	Profile text context such as a bio, summary, or tagline used to discover the email.
Discovery	keyword	The keyword that surfaced the profile for this lead.
Navigation	url	A direct link to the Vimeo profile page for easy verification.

---

Key Features of Vimeo Email Scraper ⚡

• ✅ Keyword-Driven Search: Uses your keywords to find Vimeo profiles that match your lead generation intent.
• 📍 Location Targeting: Adds optional location filtering to help you find relevant Vimeo audience outreach contacts in a specific region.
• 📧 Custom Domain Filtering: Use customDomains (like @gmail.com or @yahoo.com) to focus Vimeo user email finder results on the domains you want.
• 🧩 Structured Output for Analysis: Produces clean records that are easy to import into spreadsheets, CRMs, or pipelines.
• 🔄 Dataset Export Ready: Each collected lead is pushed into your dataset immediately for smoother downstream processing.
• 💾 Configurable Volume Control: Set maxEmails to cap results and manage runtime and cost.
• 🛡️ Compliance-Friendly Workflow: Designed to extract emails from publicly available sources and help you keep your outreach list organized.
• 🧠 Research-Useful Context: The dataset includes title, description, and url so you can quickly confirm fit.

---

How to Use Vimeo Email Scraper 🚀

1. Find the Actor — search Vimeo Email Scraper on Apify Store
2. Open Input Tab — open the Input tab in the Apify Console
3. Add Keywords — enter job titles, industries, or search terms related to your Vimeo lead generation
4. Configure Filters (optional) — set location and/or customDomains to refine results
5. Set Result Limit — choose a maxEmails value to control how many leads you want returned
6. Click Start — run the actor and monitor progress in the logs
7. Download Results — open the dataset in the Dataset tab and export JSON/CSV

No coding required.

---

Vimeo Email Scraper Output Format 📦

The actor saves results to your Apify dataset in structured JSON format, ready for export or API integration.

⬇️ Input Example

{
  "keywords": ["manager", "founder"],
  "location": "",
  "customDomains": ["@gmail.com", "@yahoo.com"],
  "maxEmails": 20
}

⬆️ Output Example

[
  {
    "keyword": "manager",
    "title": "Creative Operations Manager",
    "description": "Vimeo creator working on brand films. Contact: alex.morgan@gmail.com",
    "url": "https://vimeo.com/alexmorganfilms",
    "email": "alex.morgan@gmail.com"
  }
]

---

🎯 Use Cases of Vimeo Email Scraper

Vimeo Email Scraper is a strong fit for workflows where you need to quickly collect Vimeo contact info tied to real creators or businesses—without spending hours manually opening profiles.

• B2B Lead Generation: Build targeted Vimeo audience outreach lists by combining role-related keywords with email-domain filtering for more relevant Vimeo email extraction.
• Email Marketing Campaigns: Source fresh contacts for newsletters and promotional outreach using scraped emails from Vimeo profiles.
• Talent Recruitment: Find and contact professionals or creators on Vimeo for casting, collaborations, and hiring.
• Market Research: Use keyword-tagged leads to understand niches and creator segments, then enrich your analysis with the profile context fields.
• CRM Enrichment: Populate CRM records with email contacts plus url and description context for faster validation during onboarding.

---

How Much Will Vimeo Email Scraper Cost You? 💰

How much does a Vimeo scraper cost? Apify uses a pay-per-result approach—you’re effectively charged per collected email result (via dataset pushes), rather than per run duration. Apify also offers a free tier for new users with monthly compute credits. To manage spend, use maxEmails to cap how many leads the actor collects.

---

Is It Legal to Scrape Vimeo? ⚖️

Vimeo Email Scraper extracts emails from publicly available data. It does not require logins or access to private profiles. Still, legality depends on how you collect, store, and use data. You should comply with Vimeo’s Terms of Service, and with privacy and anti-spam requirements such as GDPR, CCPA, and local regulations. For questions or concerns, contact scrapido.support@gmail.com.

---

Vimeo Email Scraper Input Parameters 📋

Required: keywords
Other parameters are optional and help you refine the Vimeo email extraction results.

Parameter	Type	Required	Default	Description
keywords	Array	✅ Yes	—	One or more keywords used to discover relevant Vimeo profiles for your contact discovery from videos.
location	String	No	""	Optional location filter to narrow results to a city, state, or country.
customDomains	Array	No	["@gmail.com","@yahoo.com"]	Email domains to restrict extracted emails to (for example, @gmail.com).
maxEmails	Integer	No	20	Maximum number of emails to collect before the actor stops. Higher values can take longer and may return fewer results than expected.

---

During the Actor Run ⏱️

During execution, the Apify Console shows live logs as the actor progresses through your keyword and domain combinations. Results are saved continuously to your dataset, so you can monitor output before the run completes. Runtime varies based on maxEmails, how many matching profiles exist, and your network conditions.

If results are limited, broaden keywords, add related terms, or include more email domains in customDomains.

---

Final Note ✉️

Get automated Vimeo email collection in minutes with Vimeo Email Scraper—tailor your lead generation with keywords, location, and domain filters. Questions or feedback? Email scrapido.support@gmail.com.

---

FAQ — Vimeo Email Scraper ❓

How does the Vimeo Email Scraper find emails?

It uses your provided keywords (and optional location) to discover relevant Vimeo profiles, then extracts email addresses from publicly available profile content. It returns emails that match your selected customDomains, so your results stay focused for Vimeo user email finder use cases.

What types of Vimeo profiles can I scrape?

The actor is designed to work with public Vimeo profiles that include contact information in publicly accessible content. If a profile doesn’t list an email address in the available content, it won’t produce an email result.

What did your tests show about the Vimeo Email Scraper?

In general, results vary by how many Vimeo profiles in your keyword set actually provide public email contact details. Some niches return more leads than others—using targeted keywords and specific domains (like @gmail.com) typically improves yield.

Why scrape Vimeo for emails?

Vimeo is a rich source for creator and business outreach. Instead of opening profile pages manually, this actor helps you collect Vimeo contact info and compile automated outreach lists based on your criteria.

How much does it cost to use the Vimeo Email Scraper?

Pricing is pay-per-result. You can cap how many contacts you collect using maxEmails to control your budget. Apify also provides free credits for new users, and you can track usage in the Apify Console during the run.

How does the Vimeo Email Scraper help my business?

It saves time by turning Vimeo email extraction into a repeatable process. You get a dataset you can export and use for outreach, CRM enrichment, research, or marketing automation—while keeping data organized by keyword and validated with url and description.

What are the challenges of using a Vimeo scraper?

Not every Vimeo profile includes a public email, and results depend on niche and keyword coverage. If your domain filters are too narrow, you may also see fewer leads—expanding customDomains and refining your keywords can help.

How do I choose the right Vimeo Email Scraper?

Choose based on output quality and workflow fit: structured dataset output, keyword + domain targeting, and easy export. This actor provides a clean dataset schema and configurable limits (maxEmails) to support both small tests and larger Vimeo lead generation projects. For help, contact scrapido.support@gmail.com.

---

🆘 Support & Feedback

Found a bug or need a custom feature for the Vimeo Email Scraper?

• ✨ Custom Solutions & Feature Requests: Contact our team
• 📧 Email: scrapido.support@gmail.com

Multiple Email Types

Email Types replaces the old single Audience Type choice: select as many kinds of mailbox as you want and the run chases all of them together.

Type	What it matches
Personal / free webmail	Gmail, Outlook, Yahoo, iCloud, AOL, Proton, ...
Business / corporate	Company domains - free webmail and institutions excluded
Education (.edu / .ac)	.edu, .ac.uk, .edu.au, .ac.in and other academic suffixes
Government (.gov / .mil)	.gov, .mil, .gov.uk, .gc.ca, ...
Non-profit (.org)	.org, .ngo, .org.uk, ...

Each selected type contributes its own Google dork patterns and its own domain test, so a result is only kept if it genuinely belongs to the type that found it. Every row carries an emailType field recording which one that was.

Suffixes are matched as real domain suffixes, so cs.mit.edu counts as Education while notedu.com does not.

Setting Custom Email Domains still overrides everything: an explicit domain list is a manual override and replaces the type-driven patterns. The legacy audienceType value is still accepted, so saved inputs keep working.