Vinted Email Scraper

Vinted Email Scraper

Vinted Email Scraper is an Apify Actor designed to discover publicly indexed email addresses associated with Vinted pages based on targeted search keywords. It lets you define multiple keywords, optional geographic terms, email domain suffixes, maximum email targets, and exclusion words to control which search results are considered.

The Actor returns structured contact records containing the search keyword, result title, description, source URL, and discovered email address. This makes the resulting dataset useful for contact research, marketplace research, business analysis, lead discovery, and other workflows where publicly indexed Vinted contact information is relevant.

You can search with terms such as seller, vintage, product-related phrases, business terms, or other relevant keywords. More specific and varied keywords can help you target different types of Vinted-related pages.

What Is a Vinted Email Scraper?

A Vinted Email Scraper is a data collection tool for finding email addresses that appear in publicly indexed Vinted search-result descriptions. Instead of manually searching for contact information, you provide keywords and configuration options, and the Actor collects matching email addresses into a structured Apify dataset.

The Vinted Email Scraper searches specifically for results indexed from vinted.com. Email discovery is based on the configured email domain suffixes, such as @gmail.com, @yahoo.com, @outlook.com, or other domains you provide.

The Actor is particularly useful when you need structured Vinted contact data for research rather than manually copying individual search results.

Key Features

Feature	Description	User Benefit
Multiple keywords	Accepts a list of search keywords or queries	Explore several search intents in one run
Location filtering	Optionally adds a country, state, or city to the search	Narrow research geographically
Custom email domains	Supports configurable email suffixes	Target specific types of email addresses
Per-combination email target	Sets a maximum for each keyword and domain combination	Control the depth of each search combination
Exclusion words	Skips descriptions containing configured words or phrases	Remove unwanted result categories
Duplicate prevention	Avoids adding the same email more than once during a run	Produces cleaner datasets
Structured dataset	Stores keyword, title, description, URL, and email	Makes results easier to review and analyze
Incremental results	Matching records are added to the dataset during processing	Results can become available as the run progresses

What Data Can You Extract?

The Vinted Email Scraper produces contact-oriented search data rather than a complete Vinted profile database.

Each resulting record can contain:

• Keyword — The keyword used for the search combination that produced the result.
• Title — The title of the indexed Vinted result.
• Description — The search-result description where the matching email address was found.
• URL — The source URL associated with the indexed result.
• Email — The publicly indexed email address matching one of your configured domains.

The dataset is therefore useful for connecting an email address with the surrounding search context. The title, description, URL, and keyword can help you understand why a particular result matched your search.

Why Use This Actor?

Manual contact discovery can involve repeatedly searching different terms, checking result descriptions, identifying relevant email addresses, and organizing the information afterward. This Actor turns that repetitive search workflow into a structured Apify run.

The configurable search model is useful when your research requires multiple combinations. For example, you can search for seller and vintage while targeting one or more email domains. You can also add a location when geographic targeting is important.

The resulting dataset provides a consistent structure for reviewing Vinted-related contact information without manually creating a spreadsheet from individual search results.

Benefits

The main practical benefits include:

• Automated collection — Reduce repetitive manual searching for publicly indexed contact information.
• Multiple search terms — Process several keywords within one Actor run.
• Targeted email discovery — Choose which email domain suffixes should be considered.
• Geographic targeting — Add a country, city, state, or other location term when appropriate.
• Cleaner results — Exclusion terms and duplicate prevention help reduce unwanted records.
• Structured data — Every output record follows the same five-field structure.
• Research-ready dataset — Results can be reviewed and analyzed directly in the Apify dataset.

How to Use the Vinted Email Scraper

The basic workflow is straightforward:

1. Enter one or more search keywords in the keywords field.
2. Optionally enter a country, city, state, or other location in location.
3. Configure the email domain suffixes you want to search for in customDomains.
4. Set maxEmails according to the desired target for each keyword and domain combination.
5. Optionally add words or phrases to excludeWords.
6. Start the Actor.
7. Review the resulting Vinted contact records in the Apify dataset.

For initial testing, use a small number of keywords and a modest email target. After reviewing the results, you can refine the keywords, domains, location, and exclusion terms for a broader research run.

Input

The Actor requires the keywords field. All other configuration fields are optional.

Field	Type	Required	Default	Description
keywords	Array of strings	Yes	["seller", "vintage"]	Keywords or queries used to search indexed Vinted results.
location	String	No	""	Optional country, state, city, or other geographic term used to narrow the search.
customDomains	Array of strings	No	["@gmail.com"]	Email domain suffixes to include when identifying email addresses.
maxEmails	Integer	No	5	Maximum number of new emails targeted for each keyword + domain combination. Valid range is 1–10,000 in the Actor schema.
excludeWords	Array of strings	No	[]	Words or phrases that cause a result description to be skipped.

The keywords field should be supplied as an array. Specific search terms can be more useful than a single broad term because each keyword creates its own search combination.

The customDomains field can contain multiple suffixes. Examples include @gmail.com, @yahoo.com, @outlook.com, or a relevant company domain.

The maxEmails setting applies independently to each keyword and email-domain combination. For example, two keywords and three domains create six combinations, with the configured target applied to each combination.

For free Apify users, the Actor code limits a requested per-combination maxEmails value above 100 to 100. Paid/local execution does not apply that code-level reduction.

Input Example

{
  "keywords": [
    "seller",
    "vintage",
    "fashion seller"
  ],
  "location": "France",
  "customDomains": [
    "@gmail.com",
    "@yahoo.com",
    "@outlook.com"
  ],
  "maxEmails": 10,
  "excludeWords": [
    "crypto",
    "onlyfans"
  ]
}

Output

Results are stored in the Apify dataset using a consistent contact-oriented structure.

Field	Description
keyword	The keyword associated with the search that produced the record.
title	Title of the indexed Vinted search result.
description	Description or snippet associated with the result, including the publicly indexed text where the email was identified.
url	URL associated with the indexed result.
email	Email address matching one of the configured email domain suffixes.

The Actor also prevents the same email address from being added repeatedly during the run. This means the dataset is designed to avoid duplicate email records even when the same address appears in multiple search results.

Results are pushed to the Apify dataset as they are collected, allowing the dataset to be populated progressively during the run.

Output Example

{
  "keyword": "vintage",
  "title": "Vintage Seller Profile",
  "description": "Vintage clothing and marketplace seller. Contact: seller@example.com",
  "url": "https://www.vinted.com/member/example",
  "email": "seller@example.com"
}

The example above illustrates the output structure. Actual titles, descriptions, URLs, and email addresses depend on publicly indexed Vinted results matching your configuration.

Use Cases

The Vinted Email Scraper can support several research and data-collection workflows:

• Marketplace research — Discover publicly indexed contact information related to Vinted sellers and marketplace activity.
• Seller research — Search for seller-oriented terms and organize matching contact records.
• Vintage market research — Target terms such as vintage or more specific vintage-related searches.
• Business research — Use business-oriented keywords and relevant company email domains where appropriate.
• Lead research — Build a structured dataset of publicly indexed email contacts connected with relevant search results.
• Geographic research — Combine keywords with countries or cities to narrow the search context.
• Market analysis — Collect structured records for later review and categorization.
• Dataset creation — Build repeatable contact datasets from multiple search combinations.
• Contact discovery — Identify email addresses that are publicly visible in indexed Vinted search descriptions.

Advantages

The Actor provides several practical configuration advantages:

• Multiple keywords can be processed within one run.
• Multiple email domain suffixes can be targeted.
• Geographic terms can be added without changing the keyword list.
• Exclusion words can remove unwanted descriptions from collection.
• Each keyword and domain combination has its own email target.
• Duplicate email addresses are not repeatedly added to the dataset.
• Output records preserve useful search context through keyword, title, description, and URL fields.

These capabilities make the Actor adaptable to both narrow searches and broader marketplace research.

Limitations

The Actor has important practical limitations that users should understand:

• It searches indexed results from vinted.com; it is not documented as a direct extraction of every Vinted account or profile.
• An email address must be publicly present in the searchable result description and match one of the configured domain suffixes to be collected.
• Results depend on what is publicly indexed and available for the selected search terms.
• A requested maxEmails target is a target, not a guarantee that that many addresses exist.
• Narrow keywords, restrictive locations, or uncommon email domains can produce fewer results.
• Exclusion terms can intentionally remove otherwise matching descriptions.
• The Actor has a schema maximum of 10,000 for maxEmails.
• Free-tier execution applies a code-level maximum of 100 when a per-combination requested limit is missing or greater than 100.

Pros and Cons

Pros	Cons
Supports multiple search keywords	Results depend on publicly indexed information
Configurable email domains	Not every Vinted page will contain an email address
Optional location targeting	Narrow searches may return limited results
Exclusion word filtering	Excluded descriptions are skipped completely
Structured five-field output	A requested email target is not a guarantee
Duplicate email prevention	The Actor focuses on indexed vinted.com results

Comparison With Alternative Approaches

Capability	Vinted Email Scraper	Manual / Typical Alternative
Keyword-based searching	Supported	Usually performed manually
Multiple keyword processing	Supported	Requires repeated searches
Email-domain targeting	Supported	Requires manual filtering
Location filtering	Supported	Can be added manually to searches
Exclusion filtering	Supported	Usually requires manual review
Duplicate prevention	Supported	Often requires manual cleanup
Structured dataset	Supported	May require manual spreadsheet formatting
Incremental dataset collection	Supported	Usually requires manual recording

This comparison describes workflow differences rather than claiming that one approach is universally better.

Best Practices

For better-targeted research, consider the following practices:

• Use several specific keywords instead of relying only on one broad term.
• Combine related search terms such as seller, vintage, or a more specific marketplace category relevant to your research.
• Start with @gmail.com and add other domains when broader email coverage is needed.
• Use location when geographic targeting matters.
• Leave location empty when you want to avoid adding a geographic restriction.
• Use excludeWords carefully because a matching exclusion term causes the entire result description to be skipped.
• Begin with a smaller maxEmails value to validate the quality of results before increasing the target.
• Review the output dataset to confirm that the collected contacts match your intended research criteria.
• If results are sparse, broaden the keywords, add relevant email domains, or reconsider the location restriction.

Troubleshooting

Invalid input: Make sure keywords is an array of strings and that integer values such as maxEmails are within the documented 1–10,000 range.

Empty results: Try broader or more specific keywords, remove an overly restrictive location, or add additional email domains. Search results depend on publicly indexed information.

Fewer emails than requested: The configured number is a target rather than a guarantee. There may simply be fewer matching publicly indexed email addresses for the selected combination.

Unexpectedly low coverage: Review the keywords, location, and customDomains settings. A combination that is too narrow can reduce the available search results.

Missing expected records: Check whether the result description contains an email matching one of the configured domains. Also review excludeWords, because matching descriptions are skipped.

Duplicate emails: The Actor tracks discovered email addresses and avoids adding the same email repeatedly during a run.

Long-running searches: Broad runs with many keyword and domain combinations can require more processing time. The Actor input documentation indicates a default run timeout of 3600 seconds; adjust the run timeout when appropriate for a wider search.

Frequently Asked Questions

What does the Vinted Email Scraper do?

It searches publicly indexed vinted.com results using your configured keywords and identifies email addresses matching the selected email domain suffixes.

What data does the Vinted Email Scraper return?

Each dataset record contains keyword, title, description, url, and email.

Can I use multiple keywords?

Yes. The required keywords field accepts an array of search terms, allowing multiple keyword searches within one run.

Can I search by country or city?

Yes. The optional location field accepts a country, state, city, or other geographic term that is added to the search.

Can I select specific email domains?

Yes. Use customDomains to provide email suffixes such as @gmail.com, @yahoo.com, or @outlook.com.

How does maxEmails work?

The configured target is applied independently to each keyword and email-domain combination. The schema accepts values from 1 through 10,000.

Can I exclude certain types of results?

Yes. Add words or phrases to excludeWords. If an exclusion term matches the result description, that description is skipped and no email is collected from it.

Why did the Actor return fewer emails than my target?

The target does not guarantee availability. Results depend on the number of publicly indexed Vinted descriptions containing matching email addresses and meeting your filters.

Does the Actor remove duplicate emails?

Yes. The Actor tracks already discovered email addresses and does not add the same email repeatedly during the run.

Is the Actor suitable for automated research workflows?

Yes. It accepts structured configuration and produces structured Apify dataset records, making it suitable for repeatable data-collection and research workflows.

NLP Keywords

• Vinted email scraper
• Vinted email extraction
• Vinted contact data
• Vinted contact discovery
• Vinted seller emails
• Vinted seller research
• Vinted marketplace data
• Vinted lead research
• Vinted business contacts
• Vinted email finder
• Vinted contact scraper
• Vinted public email data
• Vinted search data
• Vinted profile contacts
• Vinted business research
• Vinted marketplace research
• Vinted lead discovery
• Vinted email collection
• Vinted structured data
• Vinted contact dataset

Related Keywords

• Vinted scraper
• Vinted data scraper
• Vinted contact scraper
• Vinted seller scraper
• Vinted email finder
• Vinted email extractor
• Vinted lead scraper
• Vinted contact finder
• Vinted seller contact data
• Vinted business lead research
• Vinted marketplace scraper
• Vinted public contact information
• Vinted email data extraction
• Vinted seller email finder
• Vinted business contact scraper
• Vinted keyword scraper
• Vinted search result scraper
• Vinted contact dataset
• Vinted lead generation research
• Vinted marketplace contact research

Final Overview

Vinted Email Scraper provides a structured way to search publicly indexed Vinted results for email addresses matching user-defined keywords and email domains. With multiple keywords, optional location targeting, configurable domain suffixes, exclusion filtering, per-combination email targets, and duplicate prevention, the Actor gives users practical control over their contact research workflow.

The resulting Apify dataset contains the keyword, result title, description, URL, and discovered email address, preserving useful context around each contact. Users can start with a focused configuration, review the results, and then broaden their search terms or domains when additional coverage is needed.

For accurate expectations, remember that the Actor can only collect email addresses that are publicly available in matching indexed search-result descriptions. A configured target represents the desired collection limit, not a guarantee of available contacts.

Contact me: Alphascraper69@gmail.com