Zillow Email Scraper - Bulk Keywords, Decodes Hidden Emails avatar

Zillow Email Scraper - Bulk Keywords, Decodes Hidden Emails

Pricing

from $1.50 / 1,000 results

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Zillow Email Scraper - Bulk Keywords, Decodes Hidden Emails

Zillow Email Scraper - Bulk Keywords, Decodes Hidden Emails

🏑 Zillow Email Scraper collects real estate agent, broker and listing emails in bulk by keyword. πŸ”“ Decodes encoded addresses, filters domains. πŸ”‘ Ideal for proptech sales, mortgage marketing & realtor lead generation.

Pricing

from $1.50 / 1,000 results

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0.0

(0)

Developer

Code Beat

Code Beat

Maintained by Community

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0

Bookmarked

2

Total users

1

Monthly active users

2 days ago

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Zillow Email Scraper πŸ”

Zillow Email Scraper helps you extract emails from Zillow by using keywords and filters to surface publicly available contact details faster than manual research. It’s built for marketers, recruiters, sales pros, and researchers who need Zillow lead generation, a Zillow email extractor, and a practical way to scrape Zillow emails at scale. πŸš€

🌟 Key Features of Zillow Email Scraper

FeatureBenefit
βœ… Targeted Keyword SearchUse specific keywords to find relevant Zillow results for real estate prospecting and lead enrichment.
βœ… Location FilterNarrow your search by location to focus on a city, region, or market you care about.
βœ… Custom Email Domain FilterFilter for specific email domains such as @gmail.com or @yahoo.com to refine real estate contact scraping.
βœ… Max Email LimitSet a cap on how many emails to collect so you can control runtime and costs.
βœ… Incremental SavingResults are saved as they are found, helping prevent data loss during longer runs.
βœ… Resume SupportThe actor stores progress so you can continue from where a previous run left off.

πŸ“₯ Input β€” Zillow Email Scraper Parameters

{
"keywords": [
"manager",
"founder"
],
"location": "San Francisco",
"customDomains": [
"@gmail.com",
"@yahoo.com"
],
"maxEmails": 20
}
ParameterTypeRequiredDefaultDescription
keywordsArrayYes["manager","founder"]A list of keywords or queries used to find relevant Zillow results.
locationStringNo""A location filter to narrow results to a specific area.
customDomainsArrayNo["@gmail.com","@yahoo.com"]Email domains to include when collecting contacts.
maxEmailsIntegerNo20Maximum number of emails to collect before the run stops.

πŸ“€ Output β€” What Zillow Email Scraper Returns

The actor saves each result as a JSON record in your Apify dataset.

[
{
"keyword": "manager",
"title": "Sarah Johnson",
"description": "Licensed real estate agent specializing in residential properties in Austin, TX.",
"url": "https://www.zillow.com/profile/sarah-johnson/",
"email": "sarah.johnson@gmail.com"
}
]
FieldLabelFormatDescription
keywordKeywordtextThe keyword that produced the result.
titleTitletextThe page title or profile title found on Zillow.
descriptionDescriptiontextThe visible description or summary associated with the result.
urlUrllinkThe page URL for the result.
emailEmailtextThe email address extracted from publicly available data.

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

  1. Open the Actor β€” Find Zillow Email Scraper in the Apify Store and open the actor page.
  2. Enter Keywords β€” Add the keywords you want to use for real estate lead generation.
  3. Set Location β€” Optionally narrow results to a specific market or region.
  4. Choose Email Domains β€” Add domains such as @gmail.com or @yahoo.com if you want cleaner real estate email extraction.
  5. Set Max Emails β€” Control how many contacts the actor should collect in one run.
  6. Run the Actor β€” Start the actor and monitor progress in the logs.
  7. Export Results β€” Download the Zillow data extraction results from the dataset tab.

No coding required. Results ready in minutes.

πŸ’‘ Best Use Cases for Zillow Email Scraper

  • 🎯 Real Estate Lead Generation β€” Build targeted housing market leads for outreach and follow-up.
  • πŸ“£ Email Marketing β€” Collect contacts for newsletters, campaigns, and drip sequences.
  • 🀝 Real Estate Prospecting β€” Find relevant contacts for sales and partnership outreach.
  • πŸ”¬ Market Research β€” Study publicly available Zillow contact patterns and property listing scraper results.
  • πŸ“Š CRM Enrichment β€” Add emails to existing lead records for better lead enrichment.

Disclaimer

This actor only accesses publicly available data on Zillow. It does not scrape private profiles, authenticated content, or password-protected pages. Users are solely responsible for ensuring their use complies with Zillow’s Terms of Service, GDPR, CCPA, and applicable anti-spam laws. This tool is intended for legitimate purposes only, including research, marketing, and lead generation in compliance with local regulations. For data-removal requests, contact πŸ“§ codebeatapi@gmail.com.

πŸ†˜ Support & Feedback

Have a question or found an issue with Zillow Email Scraper? We’re here to help.

  • 🐞 Bug Reports: Reach out with details about the run and what happened.
  • ✨ Custom Solutions & Feature Requests: Send us your ideas for real estate automation or Zillow data extraction workflows.
  • πŸ“§ Email: codebeatapi@gmail.com

Your feedback shapes the roadmap β€” we read every message.

Country & Time Targeting

Both filters are applied to the Google query itself, so they shape which pages the dork is answered from rather than filtering after the fact.

Target Country - runs the search as if from that country (gl). Turn on Strict country filter to additionally restrict results to pages Google attributes to it (cr=countryXX); that is much tighter and returns noticeably fewer results. Leave the country on Global (no country filter) for worldwide results.

Result Language - restricts results to a single language (hl + lr).

Time Range - limits results to a publication window: past hour, 24 hours, week, month, year, or an explicit Custom range using Custom range: from / to in YYYY-MM-DD form. A page Google indexed last week is far more likely to carry a live mailbox than one it last saw five years ago.

Selecting Custom range without either date falls back to no time filter rather than searching all of time by accident.