Tumblr Email Scraper

Overview

An Apify actor that scrapes Tumblr for email addresses based on search keywords. It's designed for lead generation, market research, and data aggregation by extracting contact information from Tumblr blogs and profiles.

Key Features

• Keyword-based search: Finds Tumblr pages containing specified keywords.
• Location filtering: Optionally narrows results by geographic location.
• Domain targeting: Filters results to include emails from specific domains (defaults to @gmail.com).
• Proxy support: Configurable proxy usage to handle rate-limiting during large-scale scraping.
• Structured output: Returns consistent data including the source URL, page title, and extracted email.

Input Parameters

Configure the actor using the following input schema:

{
  "keywords": ["example", "search terms"],
  "location": "Optional City or Region",
  "platform": "Tumblr",
  "customDomains": ["@gmail.com", "@example.org"],
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}

• keywords: (Required) An array of strings to search for on Tumblr.
• location: (Optional) A string to filter results by location.
• platform: Currently only supports "Tumblr".
• customDomains: An array of email domain strings (e.g., "@gmail.com") to include. The scraper will only collect emails matching these domains.
• proxyConfiguration: Recommended for sustained or large-volume runs to avoid IP blocks.

Output Structure

The actor outputs an array of objects, each representing a found email address. Data is available in JSON, CSV, and Excel formats.

Example Output Item:

{
  "keyword": "marketing",
  "title": "Marketing Insights Blog",
  "description": "Reach us at contact@example.com for inquiries.",
  "url": "https://exampleblog.tumblr.com/",
  "email": "contact@example.com"
}

• keyword: The search term that yielded this result.
• title: The title of the Tumblr blog or profile.
• description: The text snippet containing the email.
• url: The source Tumblr page URL.
• email: The extracted email address.

How to Use

1. Set Input: Provide your keywords array and any optional parameters like location or customDomains.
2. Configure Proxies: For reliable, large-scale runs, enable proxyConfiguration (e.g., useApifyProxy: true).
3. Run the Actor: Start the actor. It will scrape Tumblr for pages matching your keywords and extract email addresses from the text.
4. Get Results: Download the dataset from the actor's run output. Use the structured data for lead lists, CRM integration, or analysis.

Common Use Cases

• Building contact lists for marketing outreach.
• Identifying influencers or bloggers in a specific niche.
• Aggregating business contact details for market research.
• Feeding contact data into automated CRM or email systems.