Real Estate Agent Email Scraper — Instagram Realtor Leads
Under maintenancePricing
from $12.00 / 1,000 results
Real Estate Agent Email Scraper — Instagram Realtor Leads
Under maintenanceScrape real estate agent leads from Instagram by hashtag — handle, name, followers, bio, email-from-bio, and engagement rate. Quality-scored to real, active agents. Build realtor lists for cold DM outreach, recruiting, and CRM. CSV / JSON / Excel, pay per result.
Pricing
from $12.00 / 1,000 results
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GoCreative AI
Maintained by CommunityActor stats
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8
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2
Monthly active users
9 days ago
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📊 Example output (real run)

Find real estate agents on Instagram by hashtag and pull the leads Apollo and ZoomInfo can't touch — handle, name, email from the bio, follower count, and engagement. Social-first prospecting for a channel the big B2B databases ignore.
Point this actor at hashtags realtors actually use — #realtor, #realestateagent, #luxuryrealestate, #[yourcity]realestate — and get back a clean list of active agents with the contact and social signals you need to reach them where they already spend their day.
Why Instagram beats a static B2B database here
Apollo, ZoomInfo, and UpLead are built on corporate email databases. Real estate agents are independent, social-first operators — many run their entire business from an Instagram bio, not a company directory. That's exactly the gap this fills:
| This actor | Apollo / ZoomInfo | |
|---|---|---|
| Finds solo/indie agents | ✅ via hashtag | ❌ weak coverage |
| Bio email extraction | ✅ | ❌ |
| Engagement / follower signal | ✅ prioritize active agents | ❌ |
| Freshness | Live Instagram profiles | Stale corporate DB |
| Cost | Pay per run | Per-seat subscription |
Follower count and engagement_pct let you prioritize agents with real reach instead of dormant accounts — a signal a corporate database simply doesn't have.
What you get (real output fields)
username,full_name,profile_url,profile_picemail— extracted from the bio when presentexternal_url— the agent's linked website/landing pagebiography— full bio textfollowers,following,posts,engagement_pctis_business,business_category,verifiedfound_via_hashtag— which hashtag surfaced the lead
Example row (real output)
{"username": "_perfectproperty","full_name": "Perfect Property | Houston Realtors","biography": "Top Producing team of agents serving Houston and its surrounding areas. 🔑🏡 eXp Realty","external_url": "http://miaromarhomes.com/","followers": 279,"following": 204,"posts": 1301,"is_business": true,"found_via_hashtag": "realestateagent","profile_url": "https://www.instagram.com/_perfectproperty/"}
When an agent lists an email in their bio it lands in the email field; when they don't, you still get the external_url (their site) and handle to reach them via DM or their contact page.
Use cases
- Brokerage recruiting — find producing, socially-active agents to recruit.
- Mortgage / title / insurance — build referral relationships with local agents.
- PropTech & SaaS — sell tools to agents where they're most engaged.
- Marketing & PR services — pitch agents who are already investing in their brand.
- Local market mapping — see who's active in a metro by hashtag.
How to use it
- Enter one or more hashtags (city + niche hashtags convert best) and how many profiles to pull.
- Run the actor (schedule it to refresh your target hashtags weekly).
- Export as CSV, JSON, or Excel, or pull via the Apify dataset API.
- Load into your CRM, Clay, or outreach tool. Filter by
followers/engagement_pctto work the highest-reach agents first.
Notes on data quality
- Data comes from live Instagram profiles, not a cached DB.
- Emails are only returned when the agent published one in their bio — no fabricated addresses.
- Missing fields (email, business_category) are returned as null rather than guessed.
Pair with our people-enrichment actor to append and verify a deliverable email for agents who only listed a website, and our realtor.com and SEC Form D actors to build a full lead engine.