Reddit Email Scraper

🔍 Reddit Email Scraper – Overview

Reddit Email Scraper is an Apify Actor designed to find publicly listed email addresses associated with Reddit search results using targeted keywords, email domain suffixes, and optional location filters.

It is useful for lead research, audience discovery, prospecting, market research, creator research, community analysis, and other workflows where publicly discoverable Reddit contact information is relevant.

The actor combines your search terms with selected email domains and searches for matching Reddit results. It then extracts email addresses from publicly visible search-result descriptions and stores each unique email together with the related keyword, title, description, and URL.

💡 Reddit Email Scraper at a glance

• Search Reddit-related results using multiple keywords or queries
• Target specific email domains such as @gmail.com or @yahoo.com
• Optionally narrow searches by country, state, or city
• Exclude results containing unwanted words or phrases
• Remove duplicate email addresses automatically
• Collect structured lead data directly into an Apify Dataset
• Set a result target for each keyword + email-domain combination
• Resume progress after an interrupted run

The easiest workflow is simple: enter your keywords, choose the email domains you need, optionally provide a location and exclusion terms, set your desired email limit, and start the Actor.

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🚀 Reddit Email Scraper – Key Features

Reddit Email Scraper focuses on practical search-based email extraction rather than requiring you to manually inspect Reddit pages one by one.

🔎 Keyword-based Reddit email search

Provide one or several keywords such as:

• Software Developer
• Programmer
• Fitness Coach
• Marketing Manager
• Web Designer
• Startup Founder

Using several related keywords can improve search coverage because different people may describe themselves or their work in different ways.

✉️ Custom email domain targeting

You can specify the email domains you want to search for, including common domains or your own domain patterns.

Examples:

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

This lets you focus the Reddit email scraper on the type of contact information most relevant to your research.

📍 Location filtering

The optional location field lets you narrow the search using a manually entered country, state, city, or other geographic term.

Examples:

• New York
• California
• London
• Canada
• Dhaka

Leaving the location empty creates a broader search without a geographic keyword.

🚫 Exclude words

Use exclusion terms to skip unwanted search-result snippets.

For example:

• crypto
• onlyfans
• spam
• adult

Single-word exclusions are matched without regard to letter case, while multi-word phrases are also supported.

♻️ Unique email collection

Reddit Email Scraper tracks already collected email addresses and avoids adding the same email repeatedly.

This is especially useful when several keywords or domains produce overlapping Reddit search results.

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📊 Reddit Email Scraper – What Data You Can Extract

The Actor produces structured records for discovered email addresses. Each qualifying result can contain the following fields:

Field	Description
network	Identifies the source network as Reddit.com
keyword	Keyword or query responsible for the result
title	Title associated with the search result
description	Search-result description containing the discovered email
url	URL associated with the result
email	Email address extracted from the result

📦 Output example

{
  "network": "Reddit.com",
  "keyword": "Software Developer",
  "title": "Experienced Software Developer",
  "description": "Software developer discussing projects and contact information...",
  "url": "https://www.reddit.com/...",
  "email": "example@gmail.com"
}

The default Dataset table emphasizes the main lead-oriented fields: keyword, title, description, url, and email.

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⚙️ Reddit Email Scraper – How to Use It

Using the Reddit Email Scraper is straightforward and requires only a few input decisions.

1. 🔍 Enter your keywords

Add the subjects, professions, roles, interests, or search queries you want to investigate.

For example:

{
  "keywords": [
    "Software Developer",
    "Programmer",
    "Python Developer"
  ]
}

More specific keyword combinations can help discover more relevant results than relying on one broad term.

2. ✉️ Select email domains

Add the domains you want the Actor to look for.

{
  "customDomains": [
    "@gmail.com",
    "@yahoo.com",
    "@outlook.com"
  ]
}

The Actor processes each keyword and domain combination separately.

3. 📍 Add an optional location

Use the location input when geographic targeting matters.

{
  "location": "New York"
}

You can also leave this blank for broader coverage.

4. 🎯 Set the maximum email target

maxEmails controls how many emails the Actor attempts to collect for each keyword + domain combination.

For example, with:

• 3 keywords
• 2 email domains
• maxEmails = 20

the Actor processes 6 keyword/domain combinations and targets up to 20 emails for each combination, subject to the availability of matching public results and duplicate filtering.

5. 🚫 Add exclusion terms

Use excludeWords when you want to ignore snippets containing particular words or phrases.

{
  "excludeWords": [
    "crypto",
    "onlyfans"
  ]
}

6. ▶️ Start the run

After starting the Actor, results are added incrementally to the Apify Dataset as they are discovered.

✅ Recommended starting setup

• Use 3–5 closely related keywords
• Start with 2–5 relevant email domains
• Add a location only when geographic targeting is important
• Use exclusion terms to remove clearly irrelevant results
• Begin with a moderate maxEmails value before expanding the search

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🔎 How to scrape Reddit emails using multiple keywords

The most effective search strategy is usually to combine several specific keyword variations rather than relying on a single generic search term.

For example, a business interested in finding software professionals could use:

{
  "keywords": [
    "Software Developer",
    "Programmer",
    "Python Developer",
    "Web Developer",
    "Full Stack Developer"
  ],
  "customDomains": [
    "@gmail.com",
    "@outlook.com",
    "@yahoo.com"
  ],
  "location": "",
  "maxEmails": 25,
  "excludeWords": []
}

This approach creates multiple targeted search combinations and can uncover different publicly indexed contact opportunities.

Search quality still depends on what information is publicly available and discoverable. Increasing the number of keywords does not guarantee that every combination will produce the requested number of email addresses.

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🌍 Can Reddit Email Scraper target a country or city?

Yes. The location input can be used to add a geographic term to the search.

Examples include:

New York
Los Angeles
United States
Toronto
London
Dhaka

Location targeting is useful when the goal is to research potential contacts in a particular market.

📍 Location tip

• Leave location empty for broad discovery.
• Use a city when you need local prospects.
• Use a country or larger region for wider geographic coverage.
• Test broader locations when highly specific searches produce sparse results.

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🧩 Reddit Email Scraper – Use Cases

Reddit Email Scraper can support several legitimate research and lead-discovery workflows involving publicly available contact information.

💼 Lead research

Find publicly discoverable contact information associated with people discussing a specific profession, skill, or business topic.

Examples:

• Software developers
• Designers
• Entrepreneurs
• Consultants
• Marketing professionals

🎯 Audience research

Researchers can investigate which public Reddit discussions and profiles are associated with a particular topic and discover publicly listed contact information where available.

🏢 B2B prospect research

Companies can search relevant professional keywords and optionally include business email domains or specific geographic terms.

📈 Market research

Combine industry-related keywords with locations to investigate publicly indexed contacts around a market, profession, or niche.

🧑‍💻 Developer and technical research

Use technical job titles, programming languages, frameworks, or development-related terms to locate relevant publicly indexed Reddit results.

📣 Outreach list preparation

Where contact information is publicly published and appropriate for the intended use, the resulting Dataset can serve as an initial research list for subsequent qualification.

⚠️ Responsible-use note

• Only use publicly discoverable information in ways permitted by applicable laws, platform rules, and your intended communication policies.
• The Actor does not guarantee that every discovered email belongs to an active or reachable mailbox.
• Always validate leads and respect applicable privacy and outreach requirements.

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📝 Input

The Actor accepts the following inputs:

Input	Type	Required	Purpose
keywords	Array	Yes	Search terms or queries
location	String	No	Optional country, state, city, or region
customDomains	Array	No	Email domain suffixes to target
maxEmails	Integer	No	Target emails per keyword + domain combination
excludeWords	Array	No	Words or phrases that cause a result snippet to be skipped

🔍 keywords

A list of search terms used to discover relevant Reddit results.

Default example:

[
  "Software Developer",
  "Programmer"
]

📍 location

A text-based geographic filter.

Default:

""

✉️ customDomains

A list of email suffixes to include.

Default:

[
  "@gmail.com"
]

🎯 maxEmails

Controls the target number of email addresses for each keyword/domain pair.

Allowed range:

1–10000

Default:

10

For free users, the effective maximum is capped at 100.

🚫 excludeWords

A list of words or phrases that cause matching search-result snippets to be skipped.

Default:

[]

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📤 Output

Results are stored in an Apify Dataset as structured records.

A typical record looks like:

{
  "network": "Reddit.com",
  "keyword": "Programmer",
  "title": "Professional Programmer",
  "description": "Publicly indexed result description...",
  "url": "https://www.reddit.com/...",
  "email": "person@example.com"
}

📊 Dataset benefit

• Results are structured instead of being delivered as unformatted text.
• Each email remains associated with its search keyword and source result.
• Duplicate email addresses are filtered.
• Data is pushed incrementally during the run.
• The Dataset can be reviewed and processed through Apify's standard dataset workflow.

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💰 Pricing

The Actor does not define a fixed monetary price in the provided configuration, so no specific dollar or credit price is claimed here.

There is, however, a plan-based result restriction implemented by the Actor:

💳 Plan behavior

• Free users are limited to an effective maxEmails value of 100.
• Paid users are not subject to that 100-email input ceiling.
• The configured target applies independently to each keyword + domain combination.
• Results still depend on the amount of publicly discoverable matching information.

For example, increasing maxEmails does not guarantee that the Actor will find that many results if relevant public search results are unavailable.

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🧠 Tips and Best Practices

🔍 Use specific keyword variations

Instead of only searching for:

Fitness

try:

Fitness Coach
Fitness Trainer
Online Fitness Coach
Personal Trainer
Fitness Influencer

Specific phrases can better match how people describe their professional role or interests.

✉️ Expand email domains carefully

Starting with one domain can make a run very focused. Adding several relevant domains can improve coverage, but it also creates more keyword/domain combinations to process.

📍 Broaden sparse searches

A highly restrictive keyword plus a very specific location may produce fewer results.

When results are limited, try removing the location or using a broader geographic term.

🚫 Use exclusions strategically

Exclude terms that consistently generate irrelevant results, but avoid adding too many exclusions because they can remove potentially useful matches.

⏱️ Allow enough runtime for broad searches

Large combinations of keywords and domains can require more search processing. For broad runs, make sure your configured run timeout is appropriate.

♻️ Review the Dataset progressively

Because results are pushed incrementally, you can monitor the Dataset during execution instead of waiting until every search combination has completed.

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❓ Frequently Asked Questions

🔍 What is Reddit Email Scraper?

Reddit Email Scraper is an Apify Actor that searches for publicly indexed Reddit results using specified keywords and email-domain suffixes, then extracts matching email addresses into a structured Dataset.

✉️ Can Reddit Email Scraper find Gmail addresses?

Yes. @gmail.com is supported and is the default email-domain suffix. You can also provide other domains such as @yahoo.com, @outlook.com, or a custom domain.

📍 Can I search Reddit emails by location?

Yes. The location input accepts a manually entered country, state, city, or region and adds that term to the search.

🎯 Is maxEmails a global limit?

No. The Actor applies the configured target independently to each keyword + domain combination.

For example, two keywords and three domains create six combinations. A target of 10 means the Actor can attempt up to 10 emails for each combination, subject to available results and duplicate filtering.

🚫 Can I exclude certain words?

Yes. Use excludeWords to skip search-result snippets containing unwanted words or phrases.

♻️ Does the Actor collect duplicate emails?

The Actor keeps track of collected email addresses and skips email addresses it has already seen during the run.

📊 What data does Reddit Email Scraper return?

Records can contain network, keyword, title, description, url, and email.

🌐 Does the Actor require a Reddit login?

The provided Actor workflow is based on publicly discoverable search results and does not require you to provide a Reddit login or credentials as an input.

📭 Will every keyword return the requested number of emails?

No. maxEmails is a target, not a guarantee. The Actor can only collect email addresses that are publicly discoverable and match the selected search criteria.

💳 What is the free-user limit?

For free users, the Actor limits the effective maxEmails value to 100. Paid users are not subject to that input ceiling.

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🛠️ Support

Reddit Email Scraper is built for flexible keyword-based Reddit email research with structured Apify Dataset output.

For better results, start with a focused set of keywords and domains, review the returned data, and then broaden your search strategy based on the quality and quantity of discovered results.

• contact me by email : alphascraper69@gmail.com