Tumblr Email Scraper avatar

Tumblr Email Scraper

Pricing

from $1.49 / 1,000 results

Go to Apify Store
Tumblr Email Scraper

Tumblr Email Scraper

Tumblr Email Scraper extracts publicly indexed email addresses from Tumblr-related search results using keywords, locations, and custom email domains. Build targeted contact lists with structured emails, titles, descriptions, and URLs for lead generation and research.

Pricing

from $1.49 / 1,000 results

Rating

0.0

(0)

Developer

Email Scraper

Email Scraper

Maintained by Community

Actor stats

0

Bookmarked

2

Total users

1

Monthly active users

3 days ago

Last modified

Categories

Share

Tumblr Email Scraper โ€“ Overview

Tumblr Email Scraper is an Apify Actor designed to discover publicly listed email addresses associated with Tumblr pages by searching for relevant keywords, optional locations, and selected email domains. It turns targeted search terms such as skincare, cosmetics, manager, or founder into structured Tumblr contact leads.

The Actor is useful for lead generation, creator discovery, outreach research, market research, audience building, and contact-list development where publicly indexed Tumblr information is relevant.

Instead of manually searching Tumblr-related pages one by one, you provide a list of keywords and let the Tumblr Email Scraper collect matching search results and extract email addresses that appear publicly in those results.

๐Ÿ’ก Best results: Use several specific keyword variations rather than one broad keyword. For example, Fitness Coach, Fitness Trainer, Fitness Influencer, and Online Fitness Coach can provide more targeted coverage than only Fitness.

The Actor produces structured dataset records containing the search keyword, result title, description, URL, and discovered email address. Results are de-duplicated so the same email is not repeatedly added to the dataset during a run.

Tumblr Email Scraper โ€“ Key Features

The Tumblr Email Scraper focuses on targeted email discovery from publicly indexed Tumblr-related search results.

โœจ Key Features

  • Search Tumblr content using multiple keywords or queries
  • Narrow searches with an optional country, state, or city
  • Search for selected email domain suffixes
  • Extract publicly visible email addresses from search result descriptions
  • Exclude results containing unwanted words or phrases
  • Remove duplicate email addresses
  • Set a configurable email target from 1 to 10,000
  • Process every keyword and email-domain combination
  • Store extracted records in an Apify dataset
  • Preserve structured lead information including title, description, URL, and keyword
  • Resume progress after interruptions within the Actor run state

The Actor is built for users who want a practical Tumblr email scraper workflow without manually collecting contact details from individual search results.

Why Use Tumblr Email Scraper?

Finding relevant Tumblr contacts manually can become repetitive when you need to investigate multiple niches, job roles, locations, or email providers.

The Tumblr Email Scraper provides a structured approach: define what you are looking for, choose the email domains that matter, optionally add a geographic filter, and let the Actor process the search combinations.

๐ŸŽฏ Why use it? Use targeted keywords to discover potentially relevant Tumblr contacts, collect associated public email addresses, and organize the resulting lead information in a structured dataset for further research or outreach workflows.

The quality of results depends on what information is publicly indexed. The Actor does not guarantee that every Tumblr profile has an email address, that every keyword produces results, or that a requested target will always be reached.

Tumblr Email Scraper โ€“ What Data You Can Extract

The Tumblr Email Scraper returns structured records based on matching search results. Each record contains the information available from the corresponding result.

FieldDescription
networkIdentifies the source network as Tumblr.com
keywordKeyword used for the search
titleTitle of the matching search result
descriptionSearch result description containing the publicly indexed information
urlURL associated with the result
emailEmail address extracted from the result description

๐Ÿ“ฆ Output: The primary contact field is email, while keyword, title, description, and url provide context for understanding where the email was discovered.

This structure makes the Tumblr Email Scraper useful when a raw email list is not enough and you also need source context for each discovered contact.

How Email Extraction Works

The Actor searches for pages matching the specified keyword and email-domain suffix. It then analyzes the available result descriptions and extracts email addresses matching the selected domain patterns.

For example, a domain filter such as @gmail.com focuses extraction on addresses ending with that suffix.

The Actor can also work with custom domains such as company-specific domains, allowing users to research both common email providers and organization-related addresses.

Only email addresses that are publicly present in the indexed result information can be extracted. Private contact information is not added simply because it may exist elsewhere.

Tumblr Email Scraper โ€“ How to Use It

Using the Tumblr Email Scraper requires only a few input decisions.

Step 1: Add Keywords

Enter one or more keywords that describe the people, businesses, topics, or roles you want to discover.

Examples:

skincare
cosmetics
beauty blogger
fitness coach
marketing manager
founder
photographer
fashion designer

Specific combinations generally provide more targeted search intent than extremely broad terms.

Step 2: Add a Location

The optional location field can contain a country, state, or city.

Examples:

New York
United States
London
Toronto
California

Leave the location empty when you want broader coverage without a geographic filter.

Step 3: Select Email Domains

Add the email suffixes you want the Actor to search for.

Example:

@gmail.com
@yahoo.com
@outlook.com
@hotmail.com
@icloud.com

You can also provide organization-specific domains where relevant.

Step 4: Set the Maximum Emails

The maxEmails input accepts values from 1 to 10,000.

The limit applies to each keyword + domain combination processed by the Actor. For example, three keywords and two email domains create six combinations.

โš ๏ธ Important: maxEmails is a per-combination target, not a simple run-wide target. Actual output can be lower because search availability, duplicate emails, filtering, and other stopping conditions affect the final number of unique records.

Step 5: Configure Exclusions

Use excludeWords to remove search results containing specific unwanted words or phrases.

For example:

crypto
onlyfans
adult

If a result description contains an excluded term, that result is skipped for email extraction.

How to Scrape Tumblr Emails for a Specific Niche

A strong Tumblr email scraper strategy starts with intent-rich search terms.

Suppose you want contacts related to skincare. Instead of using only:

skincare

try:

skincare blogger
skincare creator
beauty influencer
cosmetics founder
beauty entrepreneur
skincare consultant

You can then combine those terms with selected domains and, when appropriate, a location.

๐Ÿ’ก Search tip: Broader keyword coverage can increase discovery opportunities. When results are sparse, add related terms, job titles, descriptive phrases, or remove an overly restrictive location.

This approach is especially useful for niche research, creator discovery, marketing research, and targeted lead generation.

Can You Filter Tumblr Email Searches by Location?

Yes. The Tumblr Email Scraper supports an optional location input.

A location can be a country, state, or city. The location is used to narrow the search query, helping users focus on a geographic market.

For example:

Keywords:
fitness coach
fitness trainer
gym owner
Location:
New York

Location filtering is optional. For broader discovery, leave the location field empty.

Keep in mind that geographic targeting depends on publicly indexed search information. A location filter does not guarantee that every returned profile is physically located in that area.

Can You Search for Specific Email Domains?

Yes. The Tumblr Email Scraper supports a list of custom email domain suffixes.

This allows searches such as:

@gmail.com
@yahoo.com
@outlook.com
@example.com

You can use common consumer email providers or company-specific domains.

๐Ÿ“Œ Domain strategy: Combining several relevant domains can expand coverage, but every additional keyword/domain combination increases the amount of search work required. Use domains that match your actual research objective.

Input

The Actor accepts the following user-facing inputs:

InputTypeRequiredPurpose
keywordsArray of stringsYesKeywords or search queries used to discover relevant Tumblr results
locationStringNoOptional geographic filter such as a country, state, or city
customDomainsArray of stringsNoEmail domain suffixes to search for
maxEmailsIntegerNoTarget number of emails for each keyword + domain combination
excludeWordsArray of stringsNoWords or phrases that cause matching result descriptions to be skipped

Example input:

{
"keywords": [
"skincare",
"beauty blogger",
"cosmetics founder"
],
"location": "New York",
"customDomains": [
"@gmail.com",
"@outlook.com"
],
"maxEmails": 20,
"excludeWords": [
"crypto",
"onlyfans"
]
}

The keywords input is the only required field. Other fields can be adjusted according to the desired search strategy.

Output

The Tumblr Email Scraper stores extracted records in the Apify dataset.

Example output structure:

{
"network": "Tumblr.com",
"keyword": "skincare",
"title": "Example Tumblr Result",
"description": "Publicly indexed result information...",
"url": "https://example.com/",
"email": "contact@example.com"
}

The exact title, description, URL, and email depend on the publicly indexed result discovered during the run.

๐Ÿ“Š Structured Dataset: Each record keeps the email together with search context, making the output easier to review, filter, and use for downstream research.

Use Cases

The Tumblr Email Scraper can support a variety of research and lead-discovery workflows.

Lead Generation

Discover publicly indexed contact emails associated with relevant Tumblr search results. Combine niche keywords, professional terms, and email domains to build targeted research lists.

Creator and Influencer Research

Search for terms such as:

beauty creator
fashion blogger
fitness influencer
photographer
artist

This can help identify publicly indexed Tumblr contacts for creator research and partnership discovery.

B2B Prospect Research

Use business-related terms such as:

founder
manager
agency owner
marketing director
consultant

Company-specific email domains can be included when appropriate.

Market Research

Explore how different keywords perform across public Tumblr-related search results. Compare niches, regions, roles, or audience segments using structured dataset records.

Outreach Research

The Tumblr Email Scraper can provide publicly indexed email addresses for legitimate, consent-aware business or research workflows. Users should always follow applicable privacy, anti-spam, and communication laws when contacting people.

โš–๏ธ Responsible use: The Actor only targets publicly indexed information. Users are responsible for how collected contact data is processed, stored, and used.

Pricing

The provided Actor code contains plan-aware result handling.

For free users, the Actor limits the effective maxEmails value to 100. Since the scraper processes keyword + domain combinations independently, the overall number of unique records can vary based on the number of combinations and duplicate overlap.

For paying users, the free-tier 100-email ceiling is not applied, while the Actor input still accepts maxEmails only within its configured range of 1โ€“10,000.

๐Ÿ’ฐ Pricing note: The provided files do not define a monetary price per result, per email, or per run. Therefore, no invented dollar amount is stated here.

Actual Apify platform usage costs may depend on the applicable Actor and platform configuration.

Tips and Best Practices

Use Specific Keywords

Specific phrases can produce more targeted discovery than generic one-word queries.

For example:

fitness coach
online fitness coach
fitness trainer
personal trainer

can be more useful than only fitness.

Combine Multiple Search Terms

Use related keywords to expand semantic coverage across your target niche.

A useful pattern is:

Topic + Role
Topic + Profession
Topic + Business Type
Topic + Creator

Use Location Selectively

Location can improve targeting for regional research, but an overly narrow geographic filter may reduce available results.

When results are sparse, test the search without a location.

Test Multiple Email Domains

Using only one domain can limit discovery. Consider common providers and relevant organization domains when appropriate.

Use Exclusions Carefully

Exclude terms that are genuinely irrelevant to your project. Overly broad exclusions may remove useful results along with unwanted ones.

Allow More Time for Wide Searches

Large keyword/domain combinations can require many search-result pages. The Actor may take longer when processing broad searches or high email targets.

โฑ๏ธ Important: Actual run duration depends on the number of keywords, domains, available indexed results, filtering, and stopping conditions. A larger target does not guarantee a proportional increase in discovered emails.

Frequently Asked Questions

What is Tumblr Email Scraper?

Tumblr Email Scraper is an Apify Actor that searches for publicly indexed Tumblr-related results using keywords and selected email domains, then extracts matching email addresses and stores them with source context.

How does Tumblr Email Scraper find email addresses?

The Actor searches indexed web results for Tumblr-related pages matching the selected keywords, location, and email-domain suffix. Matching email addresses found in result descriptions are extracted into structured records.

Can Tumblr Email Scraper scrape any email address on Tumblr?

No. The Actor extracts email addresses that are publicly present in the indexed result information it processes. It does not guarantee discovery of private, hidden, or non-indexed contact details.

Can I use multiple keywords with Tumblr Email Scraper?

Yes. The keywords input accepts an array, allowing multiple topics, professions, roles, or search phrases in one run.

Can I search Tumblr emails by country or city?

Yes. The optional location field accepts a country, state, or city and can narrow the search geographically.

Can I search for Gmail addresses from Tumblr?

Yes. Add @gmail.com to customDomains. Other domain suffixes can also be supplied.

Can I search for company email addresses?

Yes. You can include organization-specific email suffixes in customDomains, provided those addresses are publicly indexed in the information being searched.

Does Tumblr Email Scraper remove duplicate emails?

Yes. The Actor tracks discovered email addresses and avoids repeatedly adding the same email address during the run.

What happens when I use exclude words?

When an excluded word or phrase appears in a result description, the entire matching result is skipped for email extraction.

Why did Tumblr Email Scraper return fewer emails than my target?

A target is not a guarantee. The number of available indexed results, duplicate addresses, excluded results, selected domains, location filtering, and search-result availability can all reduce the final output.

Is maxEmails a run-wide limit?

No. The configured target is processed independently for each keyword + domain combination. The overall number of records therefore depends on how many combinations you submit and how much unique data they produce.

What data does Tumblr Email Scraper return?

The dataset includes network, keyword, title, description, url, and email.

Can I leave the location empty?

Yes. Leaving location empty removes the geographic filter and allows broader searches.

What are good keywords for Tumblr email scraping?

Good keywords are specific phrases related to your goal, such as beauty blogger, fitness coach, marketing manager, photographer, or fashion designer. Combining related terms usually gives broader research coverage than relying on one generic keyword.

Can I use Tumblr Email Scraper for lead generation?

Yes, it can support lead-discovery and research workflows where publicly indexed contact information is relevant. You remain responsible for complying with applicable privacy and outreach requirements.

Does more maxEmails always mean more emails?

No. Increasing the target gives the Actor permission to search more deeply, but actual results depend on the amount of relevant public information available.

Support

For questions, adjustments, or a bespoke Actor requirement, use the contact information provided with the Actor.

๐Ÿ’ฌ Need a tweak or a bespoke build? Contact alphascraper69@gmail.com.

The Tumblr Email Scraper is most effective when its keywords, domains, location, and exclusions are aligned with a clearly defined research objective. Start with a small, focused search, review the dataset, and then broaden the strategy with additional related keywords or domains when more coverage is needed.