Unsplash Email Scraper - Keyword & Location Targeting avatar

Unsplash Email Scraper - Keyword & Location Targeting

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from $2.50 / 1,000 results

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Unsplash Email Scraper - Keyword & Location Targeting

Unsplash Email Scraper - Keyword & Location Targeting

πŸŒ„ Unsplash Email Scraper finds photographer emails by keyword and location. πŸ”“ Domain filtering, obfuscated-address decoding and duplicate handling. πŸ“€ Export Unsplash leads to CSV, JSON or Excel for stock licensing outreach.

Pricing

from $2.50 / 1,000 results

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Developer

Scrapido

Scrapido

Maintained by Community

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0

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2

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1

Monthly active users

2 days ago

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Unsplash Email Scraper πŸ”

Unsplash Email Scraper is a focused email scraping tool that extracts email addresses from Unsplash based on your keywords and filters. If you’re tired of manual email hunting, this actor helps marketers, recruiters, and sales pros build an Unsplash email extractor list fasterβ€”so 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.


🌟 Key Features of Unsplash Email Scraper

FeatureBenefit
βœ… Targeted Keyword SearchReach the exact Unsplash audience you need for lead generation
βœ… Location FilteringGeo-target email extraction by city, region, or country
βœ… Custom Domain FilterFocus on specific domains like @gmail.com or @yahoo.com
βœ… Controlled Lead VolumeUse maxEmails to cap total emails collected per run
βœ… Proxy-Ready ScrapingBuilt-in proxy support for more reliable data collection
βœ… Resumable ProgressContinues from your last run using saved progress state
βœ… Structured Dataset OutputResults are saved with keyword and profile metadata for easier analysis

πŸ“₯ Input β€” Unsplash Email Scraper Parameters

{
"keywords": ["manager", "founder"],
"location": "",
"customDomains": ["@gmail.com", "@yahoo.com"],
"maxEmails": 20
}
ParameterTypeRequiredDefaultDescription
keywordsArrayβœ… Yesβ€”Search terms used to find relevant Unsplash profiles for email address extraction.
locationStringNo""Location to filter search results and narrow contact information harvesting by region.
customDomainsArrayNo[]Filter results to specific email domains (for example @gmail.com, @yahoo.com).
maxEmailsIntegerNo20Cap on total emails to collect. The actor stops once the limit is reached (helpful for controlling runtime and cost).

πŸ“€ 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"
}
FieldTypeDescription
keywordtextThe keyword that surfaced this result during Unsplash data scraping.
titletextUnsplash profile name or business title associated with the lead.
descriptiontextProfile bio or summary text where the email was found (metadata parsing).
urllinkDirect link to the Unsplash profile for reference.
emailtextExtracted email address from the Unsplash profile (web scraping for email).

πŸ’» How to Use Unsplash Email Scraper β€” Step-by-Step

  1. Open the Actor β€” Find Unsplash Email Scraper on Apify Store.
  2. Enter Keywords β€” Add job titles, roles, or terms matching your Unsplash lead generation goals.
  3. Set Location (optional) β€” If you need regional targeting, fill location with a city, region, or country.
  4. Filter by Domain (optional) β€” Use customDomains to extract emails only from domains you care about (e.g., @gmail.com).
  5. Set Max Emails β€” Adjust maxEmails to control bulk email collection volume and run cost.
  6. Run the Actor β€” Start the run and monitor progress in the logs.
  7. 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.


πŸ’‘ Best Use Cases for Unsplash Email Scraper

  • 🎯 B2B Lead Generation β€” Build an Unsplash email list for targeted outbound campaigns
  • πŸ“£ Email Marketing β€” Source fresh contact information harvesting inputs for sequences
  • 🀝 Recruitment β€” Reach relevant professionals discovered via Unsplash data scraping
  • πŸ”¬ Market Research β€” Find industry voices and communities using web scraping for email
  • πŸ“Š 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 πŸ“§ scrapido.support@gmail.com.


πŸ†˜ Support & Feedback

Have a question or found an issue with the Unsplash Email Scraper? We're here to help.

  • 🐞 Bug Reports: Reach out with details so we can investigate
  • ✨ Custom Solutions & Feature Requests: Tell us what you need and we’ll review it
  • πŸ“§ Email: scrapido.support@gmail.com

Your feedback helps improve email scraping tool resultsβ€”especially 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.

TypeWhat it matches
Personal / free webmailGmail, Outlook, Yahoo, iCloud, AOL, Proton, ...
Business / corporateCompany 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.