Academia Email Scraper

🔍 Academia Email Scraper – Overview

Looking for email addresses on Academia? The Academia Email Scraper searches public Academia pages for the keywords you choose and saves every email address it finds, along with the title, description and link of the page. It is a fast Academia email finder for B2B lead generation, sales, recruiting and outreach, and the Academia Email Scraper needs no coding.

Academia is a platform where researchers share papers and profiles, which makes it a useful place to look for researchers, lecturers and academics. With the Academia Email Scraper there is nothing to install and no Academia account to connect: start a run, wait for the dataset to fill, then export your email list as JSON, CSV or Excel. 📥 It works as an email finder and an email extractor in one.

✨ Academia Email Scraper at a glance

• Platform: Academia (academia.edu)
• What you get: public email addresses of researchers, lecturers and academics
• How you search: keywords, locations and email domains
• Data: email, page title, description, link and lead details
• Best for: B2B lead generation, prospecting and outreach
• Export: JSON, CSV, Excel or the Apify API

Whether you run the Academia Email Scraper once for a quick list or on a schedule for ongoing Academia lead generation, the settings stay the same, so results from different runs are easy to compare.

---

⭐ Academia Email Scraper – Key Features

The Academia Email Scraper is built for fast, repeatable Academia lead generation:

• All-in-one email finder – the Academia Email Scraper locates Academia pages for your keywords and extracts the email addresses shown there, so the Academia Email Scraper is both an email finder and an email extractor for Academia.
• Academia keyword search – run several keywords in one go, such as "academic" and "lecturer", and collect contact data for each.
• Location targeting – narrow results to a country, state or city, or add a list of extra locations that are each searched on their own.
• Email domain control – look for @gmail.com, @yahoo.com, @outlook.com or your own suffixes, accept any address, or keep business emails only.
• Must-include and exclude words – keep only results that mention the words you need and skip snippets with words you do not want.
• Limits that protect your budget – cap the emails per search combination and set one total limit for the whole run.
• Parallel searches – the Academia Email Scraper can run up to 10 Academia searches at the same time to finish long keyword lists sooner.
• Duplicate-free results – an email found by several searches is saved only once, so your email list stays clean.
• Do-not-contact list – keep opted-out addresses and existing contacts out of your dataset.
• Lead history – skip emails you already collected in earlier runs, so you only get new leads.
• Optional extras – add phone numbers shown in the result text and check email domains before saving.
• Resumable runs – an interrupted Academia Email Scraper run continues from its saved progress instead of starting over.
• Only Academia results – results from other websites are dropped, so every row links to a page on Academia.
• Ready for your tools – send leads to a CRM, spreadsheet or automation through Apify integrations and webhooks.

---

📊 Academia Email Scraper – What Data You Can Extract

The Academia Email Scraper saves one row of Academia contact data for every unique email address:

Field	What it contains
network	Source label, Academia.com
keyword	The keyword that produced the result
title	Title of the result
description	Result text in which the email appeared
url	Link to the page
email	The email address
location	Location used for the search, or null
emailType	free for webmail providers, business for other domains
username	Handle or first path segment of the Academia link, when it can be read
followersCount	Follower count if the result text shows one, otherwise null
influencerTier	Under 1K, Nano, Micro, Macro or Mega, from the follower count; null if unknown
emailStatus	Only with email verification: valid or unverified
phoneNumbers	Only with phone extraction: numbers found in the result text

💡 Good to know: the Academia Email Scraper reads the public text shown for each Academia result. Only email addresses that are visible there can be found, so results depend on what Academia users publish.

---

🚀 Academia Email Scraper – How to Use It

Getting your first Academia email list with the Academia Email Scraper takes only a few minutes:

• Step 1 – Open the Actor: open the Academia Email Scraper in Apify Store and click Start.
• Step 2 – Add keywords: enter one or more Academia search terms, for example "academic".
• Step 3 – Set a location (optional): type a country or city such as Cambridge, or leave the field empty.
• Step 4 – Choose email types: keep @gmail.com or add other suffixes, or switch the email mode to any address or business emails only.
• Step 5 – Set limits: decide how many emails each combination may collect and, if you like, a total for the run.
• Step 6 – Run and export: start the Academia Email Scraper, follow the dataset as it fills, then download JSON, CSV or Excel.

---

🎯 How to Extract Academia Emails by Keyword and Location

Every Academia keyword is combined with every location and every email suffix, and each combination is its own search with its own email target. Two keywords, three locations and two suffixes make 12 searches. With the Academia Email Scraper, use the total limit to keep large Academia runs predictable, and use the extra locations list to cover many cities, for example Cambridge, in a single run. A search for "academic" in Cambridge is one combination, and "lecturer" in Cambridge is another.

---

🧭 Can You Filter Academia Email Scraper Results by Email Domain?

Yes. The email mode setting of the Academia Email Scraper has three options:

• Only the domains listed – the default; finds exactly the suffixes you enter, such as @gmail.com.
• Any email address – accepts every address found in Academia result text, whatever the domain.
• Business emails only – accepts any address except free webmail providers like Gmail, Yahoo or Outlook, which suits B2B outreach on Academia.

The two broad modes find addresses a fixed list would miss, but expect fewer results per search and some noise.

---

💼 Academia Email Scraper – Use Cases

Teams use the Academia Email Scraper for:

• Inviting experts to conferences and journals – a ready email list of researchers, lecturers and academics that you can contact right away.
• Recruiting academic talent – search "academic" in Cambridge or any other place and compare the Academia results by location.
• Finding co-authors and reviewers – export the contact data to your CRM, spreadsheet or B2B outreach tool.
• Running edtech and research outreach – schedule the Academia Email Scraper to keep your Academia lead generation running.

Because the Academia Email Scraper returns structured data, it fits manual research as well as automated lead generation and outreach pipelines.

---

⚙️ Academia Email Scraper – Input

The Academia Email Scraper accepts the fields below. Only keywords is required; every other field has a default.

Field	Type	Default	What it does
keywords	list	["academic", "lecturer"]	Keywords to look for, one per line. Each keyword runs on its own.
location	text	empty	Optional country, state or city added to every search.
locations	list	[]	Extra places, each searched separately with the same keywords.
emailSearchMode	text	domainList	Which emails to look for: your domain list, any address, or business emails only.
customDomains	list	["@gmail.com"]	Email suffixes to look for, such as @gmail.com or @yahoo.com.
maxEmails	number	5	Emails per search combination (keyword + location + domain). Free accounts: 100 at most.
maxTotalEmails	number	0	Hard stop for the whole run. 0 means no total limit.
maxConcurrentSearches	number	5	How many searches run at the same time (1 to 10).
minFollowers	number	0	Keep only results showing at least this many followers. 0 switches it off. Mostly useful on social profiles.
maxFollowers	number	0	Keep only results showing at most this many followers. 0 switches it off. Mostly useful on social profiles.
profilesOnly	true/false	false	Keep only results whose link looks like a single profile page. Mostly useful on social profiles.
includeWords	list	[]	A result is kept only if it contains at least one of these words.
excludeWords	list	[]	Results containing any of these words are skipped.
extractPhoneNumbers	true/false	false	Also return phone numbers written in the result text.
verifyEmails	true/false	false	Check format, placeholders and mail servers before saving an address.
skipPreviouslyFoundEmails	true/false	false	Skip addresses saved by earlier runs under the same history name.
historyStoreName	text	academia-email-history	Name of the saved history (lowercase letters, numbers, hyphens).
excludeEmails	list	[]	Addresses or @domains that must never appear in the results.

🧪 Example input

{
  "keywords": ["academic", "lecturer"],
  "location": "Cambridge",
  "emailSearchMode": "domainList",
  "customDomains": ["@gmail.com", "@yahoo.com"],
  "maxEmails": 20,
  "maxTotalEmails": 100,
  "maxConcurrentSearches": 5,
  "excludeWords": ["spam"]
}

---

📦 Academia Email Scraper – Output

Results are written to the run's dataset as they are found, so you can watch the list grow. Each item contains the fields described above. A short run summary (unique emails, skipped results by reason, searches finished) is also stored with the run.

🧾 Example output

[
  {
    "network": "Academia.com",
    "keyword": "academic",
    "title": "Academic in Cambridge | Academia",
    "description": "Example listing for academic in Cambridge. Contact: sample.contact@gmail.com",
    "url": "https://academia.edu/sample_academic",
    "email": "sample.contact@gmail.com",
    "location": "Cambridge",
    "emailType": "free",
    "username": "sample_academic",
    "followersCount": null,
    "influencerTier": null
  },
  {
    "network": "Academia.com",
    "keyword": "lecturer",
    "title": "Second example result | Academia",
    "description": "Another example description with sample.team@yahoo.com in the text.",
    "url": "https://academia.edu/sample_academic_2",
    "email": "sample.team@yahoo.com",
    "location": "Cambridge",
    "emailType": "free",
    "username": "sample_academic_2",
    "followersCount": null,
    "influencerTier": null
  }
]

The data above is example data that shows the structure of Academia results.

---

💰 Academia Email Scraper – Pricing

The Academia Email Scraper uses Apify's pay-per-result model: you pay for the Academia emails that are saved to your dataset. Duplicates, addresses removed by your filters and addresses that fail verification are not saved or charged.

• Keep costs predictable: set maxEmails, maxTotalEmails and the maximum cost of the run.
• Free Apify plans: up to 100 emails per search combination.
• Current rates: see the pricing information on the Actor page.

---

✅ Academia Email Scraper – Tips and Best Practices

Get more from the Academia Email Scraper with these habits:

• Use several specific keywords – instead of only one broad term, try close variations such as "academic" and "lecturer".
• Start small – run the Academia Email Scraper with a low maxEmails first, check the results, then scale up.
• Loosen the search if results are sparse – add more email suffixes, more keywords or clear the location.
• Use include and exclude words – they keep the email list relevant and remove noise.
• Raise parallel searches – 5 to 10 searches at once finish long runs sooner.
• Use lead history for repeat runs – switch on skipping of earlier emails so each run returns new leads only and your outreach never repeats.
• Respect privacy rules – use the contact data responsibly and follow the laws and platform terms that apply to your outreach.

---

❓ Academia Email Scraper – Frequently Asked Questions

💬 What is the Academia Email Scraper?

It is an Apify Actor and email finder that extracts public email addresses from Academia based on your keywords and saves them as structured data, ready for outreach.

💬 Who is the Academia Email Scraper for?

It is for anyone who needs contact data for researchers, lecturers and academics: sales teams, recruiters, agencies and researchers. Typical goals are inviting experts to conferences and journals and recruiting academic talent.

💬 How does the Academia Email Scraper find emails on Academia?

It searches public results for Academia pages with each keyword and reads the email addresses shown in the result title and description. Results from other websites are skipped.

💬 Do I need to log in to Academia to use the Academia Email Scraper?

No. The Academia Email Scraper works without any Academia login or account.

💬 Can I extract Academia emails for a specific city or country?

Yes. Use the location field for one place or the locations list for several, for example Cambridge. Each location is searched separately.

💬 What data does the Academia Email Scraper return?

Each row has the email address, the keyword, the page title, description and link, the location, the email type and optional follower, phone and verification fields.

💬 Can the Academia Email Scraper get phone numbers from Academia as well?

Yes, optionally. Switch on phone extraction and the Academia Email Scraper adds the numbers written in the result text to the phoneNumbers field.

💬 Why did my Academia run return fewer emails than expected?

The Academia Email Scraper can only find addresses that are publicly shown for Academia results. Try more keywords, more email suffixes, a broader location or the any-address mode.

💬 How do I export Academia emails to CSV or Excel?

Open the run's dataset and choose CSV, Excel or JSON, or fetch the email list through the Apify API.

💬 Is the Academia Email Scraper an email finder or an email extractor?

Both. The Academia Email Scraper finds Academia pages for your keywords and extracts the email addresses shown there, so it works as an email finder and an email extractor for Academia.

---

🤝 Support

Questions, ideas or a custom scraper for Academia? The Academia Email Scraper is actively maintained, so get in touch:

• contact me by email : alphascraper69@gmail.com