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How much does Email Address Extractor earn?

Android app from dailyapps · Tools

ML forecast ★ 3.7 · 153 Free

~238/mo

ML revenue forecast. Calibrated against 77129 apps in this category.

Confidence band
±15%
High — many comparable apps with verified data

At a glance

What the app looks like

Live screenshots from the Play Store, captured by our snapshot worker. Tap any image to enlarge.

Email Address Extractor screenshot 1 Email Address Extractor screenshot 2 Email Address Extractor screenshot 3 Email Address Extractor screenshot 4

Email Address Extractor's revenue trajectory

Forecast revenue from snapshot history. Last 1 months.

Where Email Address Extractor sits in Tools

Revenue distribution of 77129 comparable apps. Email Address Extractor highlighted.

Email Address Extractor vs comparable apps

Revenue trajectory side-by-side. Bold = Email Address Extractor, ghosted = peers.

App spec

Version
2.5.12
Last update
Feb 13, 2026
Launched
Aug 24, 2016
Price
Free
Monetization
Free

What Email Address Extractor actually does (from store listing)

Email Extractor is a very powerful and professional tool to extract e-mail addresses from various sources: like URL, all kinds of local text files of your device. Extract email address from website URL . Extract email address from files: text, excel, html, php, xml, json, eml, word. Export address to text, excel Copy email address and database. Remove duplicated e-mails address Create shortlist database from extract email address.

Comparable Android apps

The five apps in Tools with the closest revenue to Email Address Extractor. Click any to see its detail page.

AppRevenueRatingRatings
Wi-Fi Chat icon Wi-Fi Chat 237 0
AsiaTech Channel Manager icon AsiaTech Channel Manager 237 0
Silent Presentation Timer icon Silent Presentation Timer 237 ★ 4.2 116
Roost Smart Home icon Roost Smart Home 238 ★ 2.6 162
Dekala icon Dekala 238 ★ 1.9 237
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How we calculated this

Each forecast combines App Store rating, ratings count, monetisation model, pricing tier, IAP signals and ad-supported flag. The base estimate is then multiplied by a per-category scaling factor learned from apps with founder-verified MRR. Every number on this page comes from public APIs and bumetric's own snapshot history.

Full methodology covers input variables, accuracy bands per category and how we treat apps without comparable anchors. See also the live data on Email Address Extractor's tracker page for current rating, reviews and snapshot timeline.

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