Zillow Scraper

Real Estate

Operated by Sourcelane✓ verified

A web-scraping connector that extracts structured property listing data from Zillow for U.S. locations, supporting four listing categories (active for-sale, for-rent, recently sold, and foreclosure/pre-foreclosure). It crawls and paginates search results to compile listing-level metadata including pricing, bedroom/bath counts, living area, property type, days on market, postal address, geocoordinates, listing photos, and direct listing URLs; recently sold records may fall back to the site's price estimate when closing prices are not publicly disclosed, and rental results that represent multi-unit buildings may omit unit-level attributes while reporting the building's lowest listed rent. Useful for large-scale listing aggregation, market analysis, investor lead identification, and comparable-sales research.

Verified Sep 28, 3:56 AM

$0.006

per property listing

Up to 100 per call. Only pay for results returned; failed calls are refunded.

What people use it for

Real estate market research and comparable-sales analysis
Investor lead generation — foreclosure and pre-foreclosure deal sourcing
Rental market analysis — track asking rents across a metro or zip code
Property listing aggregation for real estate portals and dashboards
Tracking recently sold homes for appraisal and pricing research

Trust & reliability

7d uptime trend

Window	Uptime	Success rate	p50	p95
24h	—	—	—	—
7d	—	—	—	—
30d	—	—	—	—

Calling contract

Call it through Sourcelane's gateway or MCP server. We run the connector, apply your agent's spend guardrails, and bill only the results returned.

Call it via Sourcelane

curl -X POST https://api.usesourcelane.com/v1/call \
  -H "Authorization: Bearer sl_live_your_agent_key" \
  -H "Content-Type: application/json" \
  -d '{"listing":"zillow-scraper","params":{"location":"Austin, TX","maxItems":5},"maxResults":10}'

Request params

Field	Type	Required	Description
`location`	string	required	City and state (e.g. 'Austin, TX') or a 5-digit US zip code to search.
`statusType`	string	optional	Which category of listings to scrape for the given location.
`maxItems`	integer	optional	Maximum number of listings to return. The connector pages through search results internally to fulfill this. 0 = unlimited (all available result pages). Capped at 100 per call.

Each result contains

Field	Type	Description
`zpid`	string	Zpid
`address`	string	Address
`price`	integer	Price
`beds`	integer	Beds
`baths`	integer	Baths
`livingAreaSqft`	integer	Living Area Sqft
`homeType`	string	Home Type
`homeStatus`	string	Home Status
`daysOnZillow`	integer	Days On Zillow
`url`	string	Url
`latitude`	number	Latitude
`longitude`	number	Longitude
`imgSrc`	string	—

Use Zillow Scraper from Claude, ChatGPT or Cursor

Pick your tool and connect in under a minute. Then just ask — for example: “List 3-bed homes under $600k in Austin that have been on the market for 60+ days.”

Connect Claude

Web, desktop and mobile. Paste one URL.

1Copy your personal connector URL
2In Claude open Settings → Connectors → Add custom connector
3Paste the URL and click Add — done

Manual setup (config files, REST, Python) +

Claude Code

Adds the Sourcelane MCP server with your key as a header.

terminal

claude mcp add --transport http sourcelane https://api.usesourcelane.com/mcp \
  --header "Authorization: Bearer sl_live_your_agent_key"

Claude Desktop (config file)

Alternative to the connector URL: add to claude_desktop_config.json, then restart Claude.

claude_desktop_config.json

{
  "mcpServers": {
    "sourcelane": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote",
        "https://api.usesourcelane.com/mcp",
        "--header",
        "Authorization:${AUTH_HEADER}"
      ],
      "env": {
        "AUTH_HEADER": "Bearer sl_live_your_agent_key"
      }
    }
  }
}

Cursor & Windsurf

Add to ~/.cursor/mcp.json (or Windsurf's mcp_config.json).

mcp.json

{
  "mcpServers": {
    "sourcelane": {
      "url": "https://api.usesourcelane.com/mcp",
      "headers": {
        "Authorization": "Bearer sl_live_your_agent_key"
      }
    }
  }
}

VS Code

Save as .vscode/mcp.json. VS Code prompts for your key once.

.vscode/mcp.json

{
  "servers": {
    "sourcelane": {
      "type": "http",
      "url": "https://api.usesourcelane.com/mcp",
      "headers": {
        "Authorization": "Bearer ${input:sourcelane-key}"
      }
    }
  },
  "inputs": [
    {
      "type": "promptString",
      "id": "sourcelane-key",
      "description": "Sourcelane agent key",
      "password": true
    }
  ]
}

ChatGPT Custom GPT (Actions)

Create a GPT → Actions → Import from URL, then Authentication: API Key, Bearer.

OpenAPI schema URL

https://usesourcelane.com/openapi.json

REST

One POST. Pass maxResults to cap cost.

curl

curl -X POST https://api.usesourcelane.com/v1/call \
  -H "Authorization: Bearer sl_live_your_agent_key" \
  -H "Content-Type: application/json" \
  -d '{"listing":"zillow-scraper","params":{"location":"Austin, TX","maxItems":5},"maxResults":10}'

Python, LangChain, CrewAI, OpenAI Agents SDK…

Wrap the REST call as a tool, or point an MCP client at the endpoint.

python

import requests

res = requests.post(
    "https://api.usesourcelane.com/v1/call",
    headers={"Authorization": "Bearer sl_live_your_agent_key"},
    json={
        "listing": "zillow-scraper",
        "params": {"location":"Austin, TX","maxItems":5},
        "maxResults": 10,
    },
    timeout=300,
)
body = res.json()
print(body["receipt"]["chargedMicros"], "micro-USD for", body["receipt"]["results"], "results")
print(body["data"])

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