Tumblr Email Scraper - Keyword & Location Targeting

Tumblr Email Scraper 📬

Tumblr Email Scraper is an Apify actor that automates email scraping for Tumblr—so marketers, recruiters, and data teams don’t waste days manually hunting for contact emails. Instead of copy-pasting from profiles and scattered pages, it helps you extract public emails at scale, fast, and in a structured dataset for high-ROI lead generation.

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What is Tumblr Email Scraper? 🔍

Tumblr Email Scraper is an automated web scraping tool (an Apify actor) designed to extract email addresses from Tumblr based on the keywords and filters you choose. It works on publicly available Tumblr pages and saves results to an Apify dataset in a clean, structured format—ideal when you need thousands of Tumblr contacts quickly.

If you’re looking for a Tumblr email extractor, a Tumblr contact scraper, or a Tumblr lead generation tool, this actor helps you turn targeted keyword research into an exportable list for outreach and CRM enrichment. Use it to run bulk email harvesting from Tumblr while controlling cost and run time with maxEmails.

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What Data Does a Tumblr Email Scraper Collect? 📊

This actor collects public contact data tied to your search inputs. It captures email addresses and the surrounding context so your sales and marketing teams can understand where the contact came from.

Data Category	Fields Extracted	Description
Contact	email	Public email address extracted from Tumblr
Identity	title	Profile name, business title, or heading text found on the result
Context	description	Text content associated with the result (helps you review relevance)
Discovery	keyword	The keyword you provided that surfaced this record
Navigation	url	Direct link to the Tumblr page related to the record
Location	location	Location text if available (profile-listed information)

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What Do Results from a Tumblr Email Scraper Look Like? 👀

Each result is a structured JSON record saved to your Apify dataset. Here’s a real example:

{
  "keyword": "founder",
  "title": "Maya Chen",
  "description": "Building brand partnerships and freelance design services. Contact: maya.chen@studioworks.com",
  "url": "https://www.tumblr.com/studioworks/123456789",
  "email": "maya.chen@studioworks.com"
}

Your results are saved in your Apify Dataset and can be exported for analysis or outreach workflows (for example via Apify Console).

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Core Features: Tumblr Email Scraper ⚡

Feature	Benefit
✅ Keyword-Driven Targeting	Use keywords to focus your email harvesting from Tumblr
✅ Location Filter	Add location to narrow results to a specific region or city
✅ Custom Domain Filter	Control results using customDomains (e.g., @gmail.com, @yahoo.com)
✅ Configurable Result Cap	Use maxEmails to control the maximum number of emails collected
✅ Proxy Support	Built-in proxy support for more reliable scraping at scale
✅ Incremental Dataset Writing	Saves results as they’re found, so you don’t lose everything if a run stops
✅ Structured Dataset Output	Clean fields (keyword, title, description, url, email) ready for CRM import
✅ Public Web Data Only	Extracts emails and metadata from publicly available sources
✅ Works Without Custom Coding	Marketers and analysts can run Tumblr email scraping via the Apify interface

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Getting Started with Tumblr Email Scraper 🚀

1. Open Apify Store — go to apify.com/store and find Tumblr Email Scraper
2. Click Try for Free — sign in or create an Apify account
3. Open the Input Tab — configure keywords, optional location, and domain filters
4. Add Keywords — start with roles like manager or founder (or your own terms)
5. Set Optional Filters — add location and customDomains if you want more precise results
6. Cap Your Results — set maxEmails to control run time and cost
7. Click Start — launch the run and watch logs
8. Access Your Data — open the dataset to preview and export your Tumblr contact list

First results are typically fast to reach, especially with a focused keyword set and a sensible domain filter.

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Ways to Use Tumblr Email Scraper 💡

• 🎯 Lead Generation: Build segmented Tumblr email lists for outreach and prospecting
• 📣 Email Marketing: Power newsletters and drip campaigns with web scraping emails from relevant creators and businesses
• 🤝 Talent & Partnerships: Find contact emails for collaboration and recruiting use cases
• 🔬 Market Research: Use OSINT email gathering to understand who’s active in a niche
• 📊 CRM Enrichment: Append extracted emails alongside title and page context for cleaner records
• ⚙️ Data Pipelines: Feed extracted data harvesting from Tumblr into automated workflows and dashboards

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Input Parameters — Tumblr Email Scraper

{
  "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 target for extracting Tumblr email addresses
location	String	No	""	Location to filter results (leave empty to scrape more broadly)
customDomains	Array	No	["@gmail.com", "@yahoo.com"]	Email domains to keep (example: @gmail.com, @yahoo.com)
maxEmails	Integer	No	20	Maximum number of emails to collect; helps control scraping time and cost

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Output Parameters — Tumblr Email Scraper

Field	Label	Format	Description
keyword	Keyword	text	The keyword that surfaced this result
title	Title	text	The profile title/name captured for the result
description	Description	text	Associated text content that provides context for the contact
url	Url	link	The direct Tumblr link for this record
email	Email	text	The extracted public email address

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Why Choose This Tumblr Email Scraper? 🏆

Tumblr Email Scraper is built for people who need web scraping emails with usable structure—so you can move from research to outreach quickly. You get keyword-driven targeting, optional location and domain filtering, a configurable maxEmails cap, and structured dataset output (keyword, title, description, url, email). It’s designed to support reliable large-scale runs with proxy support, and results are written incrementally for resilience.

For help or custom solutions, reach out to scrapidocontact@gmail.com.

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How Many Results Can You Scrape? 📈

Use maxEmails to set a cap from 1 to 10,000. The actual number of emails you receive depends on how many matching Tumblr pages include public emails for your selected keywords and customDomains. If you set a large target, runs may take longer. Regardless, the actor stores results in your Apify dataset so you can export whenever you want.

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Legal Guidelines for Scraping Tumblr ⚖️

This actor extracts data only from publicly available sources on Tumblr. It does not access private, login-only, or password-protected content. You’re responsible for complying with Tumblr’s Terms of Service, privacy regulations, and applicable spam/marketing laws (including consent requirements where relevant). Use extracted emails only for legitimate business purposes. Data removal requests: scrapidocontact@gmail.com.

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FAQ — Tumblr Email Scraper ❓

How does the Tumblr Email Scraper identify data?

It uses the keywords and optional filters you provide to find relevant publicly available Tumblr results, then extracts email addresses and related profile context into dataset records.

What Tumblr profile types can I scrape?

Any public Tumblr profile page that exposes an email address publicly can be included. If a profile does not list a public email address, it won’t contribute an email value to your dataset.

How did the Tumblr Email Scraper perform in our tests?

Performance depends on the niche and how often the target pages list public emails. With focused keywords and appropriate customDomains, you can typically expect stronger yield than broad, generic searches.

Why scrape Tumblr for contacts?

Tumblr hosts many niche creators, professionals, and business pages that may publish contact emails. Using a Tumblr email harvester automates a workflow that would otherwise be manual and time-consuming.

How much does the Tumblr Email Scraper cost?

Pricing is pay-per-result. You can control costs by setting maxEmails to the maximum amount you want collected in the run.

How does the Tumblr Email Scraper help my business?

It helps you build a clean dataset for lead generation: each record includes the keyword used, page context (title/description), the source URL, and the extracted email—making it easier to import into CRMs or outreach tools.

What challenges should I expect when using the Tumblr Email Scraper?

Not every Tumblr profile includes a public email address. If you get fewer results than expected, try expanding or refining your keywords, adjusting customDomains, or adding a broader set of search terms.

How do I choose a high-performing Tumblr Email Scraper setup?

Start with role- or intent-based keywords (for example, positions like manager or founder), then refine using customDomains to match the email types you want. If you’re targeting a region, add location carefully to avoid being too narrow.

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Conclusion 🏁

The Tumblr Email Scraper is a practical way to extract emails from Tumblr with structured output for analysis and outreach. Whether you’re doing OSINT email gathering, building a lead generation email scraper workflow, or running bulk email extraction, it helps you scale faster with maxEmails control.

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🆘 Support & Feedback

Have a question or feature request for the Tumblr Email Scraper?

You can contact the team at scrapidocontact@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.