Vinted Email Scraper - Keyword & Location Targeting

Vinted Email Scraper

Vinted Email Scraper extracts email addresses from Vinted based on keywords you choose, so you can build targeted outreach lists faster. It also works as a Vinted email extractor and a Vinted lead generation tool—helping you automate Vinted user data extraction at scale.

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What Does Vinted Email Scraper Do? 🤖

Vinted Email Scraper scrapes data from publicly available sources on Vinted, then extracts and collects email addresses that match your filters. During a run, you provide keywords, optional location targeting, and custom email domains (like @gmail.com) to focus the results. The actor filters for relevant contacts and exports structured records into your Apify dataset. If you’re trying to extract emails from Vinted manually, this is dramatically faster—especially when you automate Vinted email collection across multiple keywords and domains using maxEmails.

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What Can Vinted Email Scraper Extract? 📊

This actor captures Vinted contact information along with the context needed to understand each lead, including profile identity and where it was discovered. The dataset is structured for easy filtering and export.

Data Type	Field Name	Description
Contact	email	Primary email address extracted for the lead
Identity	title	Profile title or name surfaced during the scrape
Context	description	Profile text such as a bio, summary, or tagline
Discovery	keyword	The keyword/search term that surfaced this lead
Navigation	url	Direct link to the Vinted profile page

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Key Features of Vinted Email Scraper ⚡

• ✅ Keyword-Driven Search: Targets Vinted profiles using your exact terms for more relevant Vinted email scraper results
• 🌍 Location Targeting: Adds optional geo filtering so your Vinted contact information scraper outputs are more useful for local outreach
• 📧 Custom Domain Filtering: Limits extracted emails to the domains you choose (for example @gmail.com) to improve deliverability
• 🔄 Proxy-Ready & Reliable: Designed to handle real-world scraping conditions with built-in resilience
• 📊 Structured JSON Output: Each record includes keyword, title, description, url, and email for easy CRM import or analysis
• 💾 Real-Time Saving: Results are saved incrementally during the run, reducing the impact of interruptions
• ⚙️ Configurable Limits: Use maxEmails to cap runtime and control how many results you collect
• 🔎 Duplicate Avoidance: Automatically deduplicates emails so your Vinted email extractor stays clean

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How to Use Vinted Email Scraper 🚀

1. Find the Actor — Search Vinted Email Scraper on Apify Store
2. Open Input Tab — Click the Input tab in the Apify Console
3. Add Keywords — Enter job titles, roles, or other search terms relevant to your Vinted lead generation goals
4. Configure Filters (optional) — Add a location and choose customDomains to focus email harvesting tools on the domains you want
5. Set Result Limit — Set maxEmails to control cost and run duration
6. Click Start — Run the actor and monitor progress in real time
7. Download Results — Open the Dataset tab and export the collected leads

No coding required.

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Vinted 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": "Alex Johnson",
    "description": "Vintage fashion manager in Berlin • Collecting brands and reselling on Vinted",
    "url": "https://www.vinted.com/member/12345678-alex-johnson",
    "email": "alex.johnson@gmail.com"
  },
  {
    "keyword": "founder",
    "title": "Sofia Martins",
    "description": "Founder • Sustainable wardrobe • Message for offers",
    "url": "https://www.vinted.com/member/87654321-sofia-martins",
    "email": "sofia.martins@yahoo.com"
  }
]

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🎯 Use Cases of Vinted Email Scraper

• B2B Lead Generation: Build a marketing lead database by collecting targeted outreach emails from Vinted profiles that match your keywords
• Email Marketing Campaigns: Source fresh Vinted contacts for newsletters, drip sequences, and promotional outreach where domain filtering helps keep lists relevant
• Talent Recruitment: Find creators and professionals on Vinted and reach out faster than with manual research
• Market Research: Map niches and community segments by analyzing the scraped keyword context and profile details
• CRM Enrichment: Add scraped Vinted contact information scraper results to your CRM to improve contact completeness and segmentation

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How Much Will Vinted Email Scraper Cost You? 💰

Vinted Email Scraper follows a pay-per-result model (you’re charged per email result). Apify provides a free tier with monthly compute credits for new users. For budgeting, use the maxEmails parameter to cap the number of extracted emails per run—this helps you control runtime and avoid collecting more than you need. You can monitor usage in the Apify Console during execution.

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Is It Legal to Scrape Vinted? ⚖️

This actor extracts information from publicly available data on Vinted—no login or access to private profiles is required. In most jurisdictions, collecting publicly available web data is generally considered lawful, but you must still follow Vinted’s Terms of Service and applicable privacy and anti-spam regulations (including GDPR/CCPA where relevant). For questions or concerns, contact scrapido.support@gmail.com.

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Vinted Email Scraper Input Parameters 📋

Provide the actor input in JSON.

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

Parameter	Type	Required	Default	Description
keywords	array	✅ Yes	—	A list of keywords or queries to find relevant Vinted profiles
location	string	No	""	Location to filter search results (leave empty for no location filtering)
customDomains	array	No	["@gmail.com","@yahoo.com"]	Custom email domains to restrict extracted emails (e.g., @gmail.com)
maxEmails	integer	No	20	Maximum number of emails to collect before the scraper stops

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During the Actor Run ⏱️

You’ll see live progress in the Apify Console as the actor processes your keyword set and applies domain/location filters. Results are saved incrementally to the dataset while the run is active, so you can check partial output without waiting for completion. Runtime depends on your maxEmails setting and available public data volume—if a keyword yields few matches, widening keywords or adding additional domains can help.

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Final Note ✉️

Start building a targeted Vinted outreach email list with Vinted Email Scraper in minutes. If you need help or want a tailored setup, reach out at scrapido.support@gmail.com.

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FAQ — Vinted Email Scraper ❓

How does the Vinted Email Scraper find emails?

The actor uses the keywords you provide to surface relevant Vinted profiles, then extracts publicly listed email addresses that match your customDomains filters. It does not invent or generate emails—only extracted public email data is returned.

What types of Vinted profiles can I scrape?

Any Vinted profile that is publicly accessible and includes an email address that matches your selected filters can appear in results. Profiles without publicly listed emails (or without emails matching the customDomains) won’t contribute to the extracted email field.

What did your tests show about the Vinted Email Scraper?

Performance depends heavily on how many Vinted profiles match your keywords and how many of those profiles have emails publicly available within your chosen domains. In practice, result volume varies by niche and keyword specificity, so adjusting keywords and domains is the fastest way to improve yield.

Why scrape Vinted for emails?

Vinted is a strong source for niche professional contacts—especially when you want a targeted outreach email list based on role- or niche-based keywords. This actor helps you collect Vinted user data extraction results faster than manual searching, making it easier to run marketing lead database builds at scale.

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

Pricing is pay-per-result. Apify offers a free tier with monthly compute credits for eligible users. For volume runs, use maxEmails to cap spending per run and control run duration.

How does the Vinted Email Scraper help my business?

It speeds up Vinted lead generation by producing structured records you can export and analyze. Because each output includes keyword, title, description, url, and email, it’s easier to segment leads and feed marketing automation or CRM workflows.

What are the challenges of using a Vinted scraper?

Not every Vinted profile lists a public email address, so results can be uneven across niches. If you see low yield, try broader or additional keywords, add more domains to customDomains, or use/adjust location filtering.

How do I choose the right Vinted Email Scraper?

Look for accurate extraction (real emails only), structured output for CRM and analytics, configurable limits via maxEmails, and robust scraping support. Vinted Email Scraper is built specifically for collecting Vinted contact information scraper results with keyword and domain controls—plus support at scrapido.support@gmail.com.

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🆘 Support & Feedback

Need help with Vinted Email Scraper or want a feature improvement?

• 🐞 Bug Reports: Open an issue in the repository’s Issues section
• ✨ 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.