Unsplash Email Scraper - Keyword & Location Targeting
Pricing
from $2.50 / 1,000 results
Unsplash Email Scraper - Keyword & Location Targeting
π Unsplash Email Scraper finds photographer emails by keyword and location. π Domain filtering, obfuscated-address decoding and duplicate handling. π€ Export Unsplash leads to CSV, JSON or Excel for stock licensing outreach.
Pricing
from $2.50 / 1,000 results
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Scrapido
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2
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2 days ago
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Unsplash Email Scraper π
Unsplash Email Scraper is a focused email scraping tool that extracts email addresses from Unsplash based on your keywords and filters. If youβre tired of manual email hunting, this actor helps marketers, recruiters, and sales pros build an Unsplash email extractor list fasterβso your Unsplash lead generation can scale with less effort and better coverage. It also supports contact information harvesting and web scraping for email from publicly available sources.
π Key Features of Unsplash Email Scraper
| Feature | Benefit |
|---|---|
| β Targeted Keyword Search | Reach the exact Unsplash audience you need for lead generation |
| β Location Filtering | Geo-target email extraction by city, region, or country |
| β Custom Domain Filter | Focus on specific domains like @gmail.com or @yahoo.com |
| β Controlled Lead Volume | Use maxEmails to cap total emails collected per run |
| β Proxy-Ready Scraping | Built-in proxy support for more reliable data collection |
| β Resumable Progress | Continues from your last run using saved progress state |
| β Structured Dataset Output | Results are saved with keyword and profile metadata for easier analysis |
π₯ Input β Unsplash Email Scraper Parameters
{"keywords": ["manager", "founder"],"location": "","customDomains": ["@gmail.com", "@yahoo.com"],"maxEmails": 20}
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
keywords | Array | β Yes | β | Search terms used to find relevant Unsplash profiles for email address extraction. |
location | String | No | "" | Location to filter search results and narrow contact information harvesting by region. |
customDomains | Array | No | [] | Filter results to specific email domains (for example @gmail.com, @yahoo.com). |
maxEmails | Integer | No | 20 | Cap on total emails to collect. The actor stops once the limit is reached (helpful for controlling runtime and cost). |
π€ Output β What Unsplash Email Scraper Returns
The actor saves each result as a JSON record in your Apify dataset.
{"keyword": "manager","title": "Blue Sky Studio","description": "We craft visual storytelling for brands. Media inquiries: press@blueskystudio.com.","url": "https://unsplash.com/@blueskystudio","email": "press@blueskystudio.com"}
| Field | Type | Description |
|---|---|---|
keyword | text | The keyword that surfaced this result during Unsplash data scraping. |
title | text | Unsplash profile name or business title associated with the lead. |
description | text | Profile bio or summary text where the email was found (metadata parsing). |
url | link | Direct link to the Unsplash profile for reference. |
email | text | Extracted email address from the Unsplash profile (web scraping for email). |
π» How to Use Unsplash Email Scraper β Step-by-Step
- Open the Actor β Find Unsplash Email Scraper on Apify Store.
- Enter Keywords β Add job titles, roles, or terms matching your Unsplash lead generation goals.
- Set Location (optional) β If you need regional targeting, fill
locationwith a city, region, or country. - Filter by Domain (optional) β Use
customDomainsto extract emails only from domains you care about (e.g.,@gmail.com). - Set Max Emails β Adjust
maxEmailsto control bulk email collection volume and run cost. - Run the Actor β Start the run and monitor progress in the logs.
- Export Results β Open the dataset tab and export the leads (JSON / CSV) for your CRM or outreach workflows.
No coding required. You get a clean dataset ready for analysis and outreach.
π‘ Best Use Cases for Unsplash Email Scraper
- π― B2B Lead Generation β Build an Unsplash email list for targeted outbound campaigns
- π£ Email Marketing β Source fresh contact information harvesting inputs for sequences
- π€ Recruitment β Reach relevant professionals discovered via Unsplash data scraping
- π¬ Market Research β Find industry voices and communities using web scraping for email
- π CRM Enrichment β Add extracted email addresses to existing lead records for better data enrichment
Disclaimer
This actor only accesses publicly available data on Unsplash. It does not scrape private profiles, authenticated content, or password-protected pages. You are responsible for ensuring your use complies with Unsplash Terms of Service, and applicable privacy and anti-spam laws (including GDPR/CCPA where relevant). This tool is intended for legitimate purposes such as lead generation, research, and marketing compliance. For data-removal requests, contact π§ scrapido.support@gmail.com.
π Support & Feedback
Have a question or found an issue with the Unsplash Email Scraper? We're here to help.
- π Bug Reports: Reach out with details so we can investigate
- β¨ Custom Solutions & Feature Requests: Tell us what you need and weβll review it
- π§ Email: scrapido.support@gmail.com
Your feedback helps improve email scraping tool resultsβespecially for bulk email collection and contact information harvesting workflows.
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.