PropStream Alternatives for Building Real-Estate Lead Lists from Zillow
"PropStream alternatives" is usually a search for something cheaper that does the same thing. That framing misses what PropStream actually is. PropStream's strength isn't a feature you swap out — it's a deep nationwide property database with owner records attached, and that is genuinely hard to replicate. The honest question isn't "what's a cheaper PropStream," it's "which half of the funnel am I actually working." If you're after off-market owners, keep PropStream. If you're after live on-market listings and the agents behind them, you want a different kind of tool — one that builds a fresh, exportable feed of current inventory. This post draws that line clearly and shows the alternative path with working code.
Who Should Read This
You're an investor, wholesaler, agent, or a vendor selling into real estate, and you're building a lead list. You've either used PropStream and want to know what it doesn't cover, or you're deciding whether to buy it at all. The split that matters: are your leads owners of properties (often off-market, reached by mail or phone) or live listings and the listing agents working them right now? PropStream is built for the first. The alternatives here are built for the second. Knowing which one you actually need saves you from paying for the wrong tool.
What to Evaluate
Five things decide which tool fits, and they cut differently than the marketing pages suggest.
On-market vs off-market. This is the whole decision. Off-market means properties that aren't listed — you're sourcing them by owner characteristics (equity, absentee, distress) and reaching the owner directly. On-market means properties listed for sale right now, where the public-facing contact is the listing agent. PropStream is an off-market owner database. A Zillow/Realtor feed is on-market inventory. Pick the tool that matches where your deals come from.
Owner data vs agent data. PropStream gives you the owner: name, mailing address, mortgage, equity, skip-traced phone. A listings scrape gives you the agent: listing-agent name, brokerage, and the listing itself. These are different people and different outreach motions. Be honest about which contact your business actually needs.
Freshness and control. PropStream's database refreshes on its own cadence, and you consume it through their UI and exports. A listings feed you scrape on a schedule is as fresh as your last run and lives wherever you put it — Slack, Airtable, your CRM, a Postgres. If "what hit the market this morning" matters, freshness and pipe-ability matter.
Coverage of the shapes you need. Owner records, comps, and distress flags are one shape. Live listings by area, individual property detail, and listing-agent contacts are another. Verify the tool returns the specific shape you'll act on — not just "real-estate data."
Exportability. A lead list you can't move into your workflow is a lead list you'll stop using. Check whether you get structured rows you can push to your CRM and automation, or whether you're stuck inside someone's dashboard.
The Honest Comparison
| Tool | Type | Off-market owner data | Live on-market listings + agents | Owner contact / skip-trace | Best for |
|---|---|---|---|---|---|
| PropStream | Off-market property database | Yes (deep, nationwide) | Limited (MLS comps, not a feed) | Yes (skip-tracing add-on) | Sourcing distressed/high-equity owners to mail or call |
| BatchLeads | Off-market list-building + skip-trace | Yes | No | Yes (built-in) | List-stacking and skip-tracing for direct-mail/cold-call campaigns |
| General scraper APIs | Generic proxy + render | No | DIY (you write the parsers) | No | Mixed scraping targets where you build the real-estate parsing yourself |
| LogPose | Multi-platform structured API | No | Yes (realestate/zillow/scape_search, Realtor search) | No | A fresh, exportable feed of live listings + listing-agent leads by area, on a schedule |
A word on each.
PropStream is the deepest off-market property database in the small-investor price tier. It joins county assessor and recorder data into one searchable layer — owner name and mailing address, mortgage and lien records, estimated equity, tax-delinquency and pre-foreclosure flags — and bolts on skip-tracing and comps. If your acquisition motion is "build a list of absentee high-equity owners in three counties and mail them," PropStream is the right tool and the alternatives don't replace it. Keep it for exactly that. Where it's not the right tool: it isn't a live on-market listings feed you can pipe into your stack, and the contact it surfaces is the owner, not the listing agent.
BatchLeads overlaps heavily with PropStream on the off-market side — list-building by owner criteria, list-stacking across filters, and built-in skip-tracing aimed squarely at direct-mail and cold-call campaigns. Teams choose between it and PropStream mostly on UX, skip-trace pricing, and which data partner's coverage is better in their target markets. Like PropStream, it's an owner-side tool; it is not a source of live listing-agent leads.
General scraper APIs (the ScraperAPI / ScrapingBee / Bright Data tier) give you proxies and rendering against any site, including Zillow and Realtor.com. They don't ship real-estate-specific parsing, so you write and maintain the extractors yourself and keep them working as the pages change. The right pick if you're already scraping many unrelated sites and want one proxy account — but you're building the real-estate layer by hand.
LogPose returns structured on-market listing data by area. The Zillow search endpoint takes a Zillow search URL and gives back a list of current listings with the listing agent attached; the Realtor.com endpoints do the same with agent contact fields. The honest constraint, stated plainly: LogPose does not provide owner names, mailing addresses, mortgage or lien data, equity estimates, or skip-tracing. That's PropStream's lane and LogPose doesn't enter it. What LogPose is for is the other half — a fresh, exportable feed of what's on the market right now and the agents listing it, on a schedule you control.
Per-Use-Case Recommendations
You source off-market deals by mailing or calling owners (absentee, high-equity, pre-foreclosure). PropStream, or BatchLeads. You need owner records and skip-tracing, and that's exactly what they're built for. Nothing in the on-market lane replaces this.
You want a list of every property that hit the market this week in your target ZIPs. A Zillow listings feed (LogPose). On-market inventory, fresh, exportable, sorted however you like.
You sell to listing agents — photography, signage, transaction coordination, CRM, mortgage, title. A listings scrape that surfaces the listing agent and brokerage (LogPose via Zillow or Realtor.com). Your highest-intent prospect is an agent with an active listing right now, and that's a publicly observable behaviour.
You're already scraping many unrelated sites and want one proxy account. A general scraper API, accepting that you'll build and maintain the Zillow/Realtor parsing yourself.
You want both off-market owners and on-market inventory. Run both. PropStream for the owner-side deals, a listings feed for live inventory and agent leads. They don't compete; they cover different deal sources.
Code: Build a Live-Listing Lead List from Zillow
The alternative path is to pull live listings for an area into an exportable CSV — each row a property plus the listing agent behind it. LogPose's endpoints are asynchronous: a GET returns a job_id, you poll /jobs/{id} until it's completed, then fetch the result.
Submit a Zillow area search:
# 1) Submit — feed it a Zillow area-search URL
curl "https://api.logposervices.com/api/v1/ecommerce/realestate/zillow/scape_search?url=https://www.zillow.com/austin-tx-78701/&pages=3" \
-H "X-API-Key: lp_xxxxxxx"
# → {"job_id": "abc123", "status": "submitted"}
# 2) Poll until completed (Cloudflare caps blocking requests near 90s — always poll)
curl https://api.logposervices.com/api/v1/jobs/abc123 \
-H "X-API-Key: lp_xxxxxxx"
# 3) Fetch the result
curl https://api.logposervices.com/api/v1/jobs/abc123/result \
-H "X-API-Key: lp_xxxxxxx"
A short Python wrapper that turns an area into a CSV lead list:
import csv, os, time, requests
API_KEY = os.environ["LOGPOSE_API_KEY"]
BASE = "https://api.logposervices.com/api/v1"
HEADERS = {"X-API-Key": API_KEY}
def submit_and_wait(path: str, params: dict, timeout_s: int = 120) -> dict:
r = requests.get(f"{BASE}/{path}", params=params, headers=HEADERS, timeout=30)
r.raise_for_status()
job_id = r.json()["job_id"]
deadline = time.time() + timeout_s
while time.time() < deadline:
s = requests.get(f"{BASE}/jobs/{job_id}", headers=HEADERS, timeout=15).json()
if s["status"] == "completed":
break
if s["status"] == "failed":
raise RuntimeError(s.get("error", "unknown failure"))
time.sleep(2)
else:
raise TimeoutError(f"job {job_id} did not finish in {timeout_s}s")
return requests.get(f"{BASE}/jobs/{job_id}/result", headers=HEADERS, timeout=15).json()
def zillow_lead_list(search_url: str, pages: int = 3) -> list[dict]:
"""Each row is a live listing + the listing agent/brokerage behind it."""
result = submit_and_wait(
"ecommerce/realestate/zillow/scape_search",
{"url": search_url, "pages": pages},
)
rows = []
for item in result.get("listings", []):
rows.append({
"address": item.get("address", ""),
"price": item.get("price"),
"beds": item.get("bedrooms"),
"baths": item.get("bathrooms"),
"lot_size": item.get("lot_size", ""),
"home_type": item.get("property_type", ""),
# broker_name is the listing agent / brokerage — your lead
"listing_agent": item.get("broker_name") or item.get("listing_agent", ""),
"listing_url": item.get("listing_url", ""),
})
return rows
def write_csv(rows: list[dict], path: str) -> None:
with open(path, "w", newline="", encoding="utf-8") as f:
w = csv.DictWriter(f, fieldnames=list(rows[0].keys()))
w.writeheader()
w.writerows(rows)
if __name__ == "__main__":
rows = zillow_lead_list("https://www.zillow.com/austin-tx-78701/", pages=3)
write_csv(rows, "austin-78701-leads.csv")
print(f"Wrote {len(rows)} live listings with listing-agent leads")
broker_name is the load-bearing field for prospecting — it's the listing agent or brokerage on each listing, which is your lead when you sell to agents. The property fields (address, price, beds, baths, lot_size, home_type) give an investor enough to filter and rank on-market inventory.
Optional: pull listing-agent contacts from Realtor.com. Realtor.com tends to render the listing agent's phone on the public card more often than Zillow does, so it's the better source when the agent contact is the point:
def realtor_agent_leads(search_url: str, max_pages: int = 5) -> list[dict]:
result = submit_and_wait(
"ecommerce/realestate/realtor/search",
{"search_url": search_url, "max_pages": max_pages},
)
out = []
for listing in result.get("listings", []):
name = (listing.get("listing_agent_name") or "").strip()
if not name:
continue
out.append({
"agent_name": name,
"agent_phone": (listing.get("listing_agent_phone") or "").strip(),
"brokerage": (listing.get("brokerage_name") or "").strip(),
"listing_url": listing.get("listing_url", ""),
})
return out
# realtor_agent_leads("https://www.realtor.com/realestateandhomes-search/Austin_TX")
To keep the list fresh without rerunning by hand, the bulk endpoint takes many area URLs in one POST, and monitors can watch a search for new inventory by ZIP so you only act on what's changed.
Common Gotchas
A listings scrape is not an owner database. This is the one that trips people coming from PropStream. Public Zillow and Realtor.com listings give you the listing agent, not the seller — no owner name, no mailing address, no mortgage or equity data. If your campaign needs the owner, this isn't the tool; that's PropStream's job.
broker_name can be empty or a brokerage, not a person. Some listings show only the brokerage's name, some show the agent. Build the pipeline so a missing or firm-level value is a flag, not a crash.
Realtor.com fills agent phones more often than Zillow. If the listing-agent phone is what you're after, pull from Realtor.com and use Zillow for the inventory side. Either way, a real fraction of listings publish only a main line or omit the phone — treat empty as "needs enrichment."
Cloudflare's edge timeout. api.logposervices.com is fronted by Cloudflare, so any job past about 90 seconds shows the client a timeout even though it's still running server-side. Always poll /jobs/{id}; never wait on a single blocking GET.
Outreach rules differ by who you're contacting. Listing-agent business numbers are normal B2B outreach. Anything aimed at sellers — auto-dialers, ringless voicemail, SMS blasts — runs into TCPA and Do-Not-Call rules. Match your outreach motion to the contact you actually scraped.
The Honest LogPose Fit
LogPose is the right alternative when your lead list is live on-market listings and the agents behind them, when you want that feed fresh and exportable into your own stack, and when you'd rather schedule a scrape than work inside a dashboard. It is not a PropStream replacement: it does not give you owner names, mailing addresses, mortgage or lien data, equity estimates, or skip-tracing. If your deals come from off-market owners, keep PropStream — it owns that data and LogPose doesn't try to. The two cover different halves of the funnel, and the honest answer for many operators is to use both.
Get Started
- Sign up at logposervices.com and generate an API key from Tool → API Keys.
export LOGPOSE_API_KEY=lp_xxxxxxx- Run the snippet above against a Zillow area-search URL for your target market, then add Realtor.com for the agent-phone side.
The free tier is enough to pull a real area and see the listing and agent fields before you build anything around them.
Related reading
- How to scrape Zillow new listings by ZIP code every morning — the daily-diff version of this feed.
- How to extract real estate agent contacts from Realtor.com — the agent-prospecting deep dive.
- Monitoring Zillow listings for real estate deals — the price-watch side of the same workflow.