# LandWatch Email Scraper (`leads-scraper/landwatch-email-scraper`) Actor

LandWatch Email Scraper SD - LandWatch Email Scraper is a lead generation tool that extracts leads with public contact emails, account names and profile URLs from LandWatch results by keyword, location and email domain - LandWatch email extractor.

- **URL**: https://apify.com/leads-scraper/landwatch-email-scraper.md
- **Developed by:** [Leads Scraper](https://apify.com/leads-scraper) (community)
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.49 / 1,000 results

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

### LandWatch Email Scraper for rural and recreational land broker contacts

The LandWatch Email Scraper collects publicly indexed contact emails belonging to the land brokers and listing agents who advertise rural property on landwatch.com.
Supply keywords, an optional location and the email domains you want to keep, and it returns a deduplicated dataset of land broker leads.
Every field is derived from Google's public index; nothing is fetched from the platform itself.

**Yield note, stated plainly: LandWatch indexes land listings rather than broker profiles, so rows usually carry a broker email without a resolvable profile URL.**
In a measured live run, roughly 10 parsed result blocks produced 8 identified broker records, only 1 resolvable profile URL and 5 unique emails.
That split is the defining characteristic of this Actor and it is explained honestly further down.

LandWatch is the rural and recreational end of the land market: hunting tracts, timberland, waterfront acreage, ranches and off-grid parcels.
The people listing that inventory are often small independent brokerages and owner-agents rather than institutional firms, which is exactly why consumer email domains perform so well here.
Land brokers publish their addresses because a 900-acre tract sells to a buyer who found the listing and picked up the phone.

#### Understanding the identity versus URL split

The number that matters most is 8 identified records against 1 profile URL, and it is worth being precise about what that means.
LandWatch pages that reach Google's index are overwhelmingly property listings, and a listing title names the broker without exposing a URL-safe handle.
So the LandWatch Email Scraper reads the broker's name from the title and their address from the block, but has nothing to build a canonical profile URL from.

This is why the LandWatch Email Scraper reports strong identity coverage next to almost no URL coverage.

The practical consequence is that you get a name plus an email, which is what an outreach sequence actually needs.
What you do not reliably get is a clickable profile you can research before writing.
If profile URLs matter to your workflow, the [Land.com Email Scraper](https://apify.com/leads-scraper/land-com-email-scraper) resolves them far more consistently.

This is a Google indexing outcome, not a defect in the Actor.
No configuration change will manufacture a handle that Google never printed.

#### What the LandWatch Email Scraper actually does

The LandWatch Email Scraper builds Google queries with the `site:` operator against `landwatch.com`, fetches result pages through the Apify GOOGLE_SERP proxy with `aiohttp`, and parses each result block structurally.
It locates the `<h3>` title, walks up to the smallest surrounding block, then runs a domain-filtered regular expression over that block's text.
Structural parsing means it never depends on Google's CSS class names, so a markup change degrades a run instead of ending it.

It does not log into LandWatch, never uses a LandWatch API and never opens landwatch.com in a browser.
There is no JavaScript rendering, no authentication and no cookies in the pipeline.

### Key features of the LandWatch Email Scraper

Everything below ships with the LandWatch Email Scraper today; none of it is a roadmap item.

| Feature | What it does for rural land broker prospecting |
|---|---|
| Query expansion | Each keyword x domain pair runs as a base query, a quoted query, an `intitle:` query and one variant per modifier, base queries first. |
| Global deduplication | A broker who lists forty tracts is written to the dataset once, not forty times. |
| Email normalisation | Handles `name [at] domain [dot] com`, `name (at) domain`, `name @ domain.com`, `domain .com`, zero-width characters and the full-width `＠` sign. |
| Junk filter | Rejects placeholders such as `email@`, `yourname@`, `test@`, `xxx@` and single-character local parts. |
| Boundary-correct matching | `@gmail.com` will not match inside `@gmail.company` or `@gmail.com.br`. |
| Soft-wrap repair | Drops a hit that is only the tail of another email in the same result block. |
| Concurrency control | An `asyncio` worker pool with a shared stop signal on `maxEmails`. |
| Retries and block detection | Three attempts per page with exponential backoff, a fresh proxy session per request, and CAPTCHA or consent pages retried rather than counted as empty. |
| Failed-query requeue | Blocked or failed queries are retried once at the end of the run. |
| Resumable state | Key-value store state keyed by an input hash, saved on `PERSIST_STATE`, `MIGRATING` and `ABORTING`. |
| Whole-page fallback parser | A Google layout change degrades to emails without account details rather than to zero results. |
| Run summary | Pages fetched, blocked pages, retries and emails per page are logged. |

Global deduplication deserves particular emphasis on a listing-driven source.
One rural brokerage can hold hundreds of active tracts, so without deduplication a single agent would flood your dataset.

### How the LandWatch Email Scraper works

A LandWatch Email Scraper run begins by reading your input and hashing it into a resumable state key.
The query set is built by multiplying keywords by email domains and, when `expandQueries` is on, by every query modifier.
A representative query looks like `site:landwatch.com "hunting land" broker "@gmail.com" "Val Verde County"`.

The LandWatch Email Scraper fetches result pages concurrently through the Apify GOOGLE_SERP proxy and parses them block by block.
Emails are extracted, normalised, domain-filtered and deduplicated globally before each lead is pushed to the dataset immediately.
Runs stop as soon as `maxEmails` unique addresses have been collected, with the stop signal shared across all workers.

Free Apify plans are capped at 100 emails per run; paid plans are uncapped.

### LandWatch Email Scraper input fields

| Field | Type | Default | Meaning |
|---|---|---|---|
| `keywords` | array (required) | `["land broker", "ranch for sale"]` | Search terms describing the accounts you want |
| `location` | string | `""` | Optional location phrase added to every query |
| `customDomains` | array | `["@gmail.com","@yahoo.com"]` | Only emails on these domains are kept; the `@` is optional |
| `maxEmails` | integer 1-10000 | `20` | Stop after this many unique emails |
| `countryCode` | string | `""` | Two-letter country for the search proxy (US, GB, DE...) |
| `expandQueries` | boolean | `true` | Search each keyword x domain pair in several phrasings |
| `queryModifiers` | array | `["email","contact","listing agent","inquiries","broker"]` | Extra words combined with each keyword when expansion is on |
| `maxPagesPerQuery` | integer 1-50 | `30` | Page cap per query |
| `maxConcurrency` | integer 1-20 | `5` | Parallel queries |

Only `keywords` is required, so the LandWatch Email Scraper runs on defaults out of the box.
Because listings dominate the index here, listing-flavoured keywords such as `"hunting land"` or `"ranch for sale"` outperform profile-flavoured terms.

#### Location targeting in the LandWatch Email Scraper

`location` is by far the most valuable input in this Actor, because rural land is a county-level business.
A land broker's territory is measured in counties, not metros, and their listing copy says so.
Running the LandWatch Email Scraper once per county or region produces dramatically cleaner lists than a single national sweep.

County phrases are the primary tool and should be your default here: `"Val Verde County"`, `"Marquette County"`, `"Coos County"`, `"Fentress County"`.
Rural listing titles name the county constantly, because acreage, mineral rights and hunting regulations are all administered at county level.
This is the single biggest difference between land prospecting and metro-driven commercial prospecting.

Named regions are the second tool and work unusually well on LandWatch: `"Texas Hill Country"`, `"Upper Peninsula"`, `"Ozarks"`, `"Cumberland Plateau"`, `"Black Hills"`.
Recreational land is sold on regional identity, so brokers write those phrases into their listings deliberately.

State phrases suit agricultural lenders, surveying firms and rural insurance brokers licensed statewide: `"Montana"`, `"Georgia"`, `"Missouri"`.
Pair a state-level `location` with `countryCode: "US"` so the search proxy resolves to the right index.
Avoid metro names on this Actor; a query for `"Dallas"` will mostly miss the rural inventory LandWatch actually carries.

#### Example input JSON

```json
{
  "keywords": ["hunting land", "ranch for sale", "timberland broker"],
  "location": "Texas Hill Country",
  "customDomains": ["@gmail.com", "@yahoo.com", "@outlook.com", "@hotmail.com"],
  "maxEmails": 150,
  "countryCode": "US",
  "expandQueries": true,
  "queryModifiers": ["email", "contact", "listing agent", "inquiries", "broker"],
  "maxPagesPerQuery": 30,
  "maxConcurrency": 5
}
```

### LandWatch Email Scraper output fields

Every dataset item written by the LandWatch Email Scraper carries all fourteen fields below.

| Field | Meaning |
|---|---|
| `network` | Platform name |
| `keyword` | The keyword that produced the lead |
| `query` | The exact Google query used |
| `title` | Raw result title |
| `accountName` | Account label Google prints |
| `fullName` | Display name parsed from a profile-style title; empty for non-profile results |
| `username` | URL-safe handle when LandWatch exposes one; otherwise `null` |
| `profileUrl` | Canonical account URL when a handle is known; otherwise empty |
| `url` | Direct platform link when exposed, else the profile URL |
| `description` | Bio or snippet text, cleaned of labels and counters |
| `email` | Lower-cased email address |
| `emailDomain` | The matched domain, for example `@gmail.com` |
| `possiblyTruncated` | `true` when Google's snippet ellipsis touched the email |
| `foundAt` | ISO 8601 UTC timestamp |

Expect most rows to have `username: null` and an empty `profileUrl` while still carrying a usable `email` and `fullName`.
The example below shows the typical case first and the rarer resolved-handle case second, rather than pretending the split does not exist.

#### Example output JSON

```json
[
  {
    "network": "LandWatch",
    "keyword": "hunting land",
    "query": "site:landwatch.com \"hunting land\" broker \"@gmail.com\" \"Texas Hill Country\"",
    "title": "312 Acres Hunting Land, Edwards County TX - Listed by Wade Ruskin | LandWatch",
    "accountName": "Wade Ruskin",
    "fullName": "Wade Ruskin",
    "username": null,
    "profileUrl": "",
    "url": "https://www.landwatch.com/edwards-county-texas-land-for-sale/pid/412876",
    "description": "312 acres high-fence hunting property, Edwards County. Showings: wade.ruskin.land@gmail.com",
    "email": "wade.ruskin.land@gmail.com",
    "emailDomain": "@gmail.com",
    "possiblyTruncated": false,
    "foundAt": "2026-03-16T13:22:41Z"
  },
  {
    "network": "LandWatch",
    "keyword": "ranch for sale",
    "query": "site:landwatch.com \"ranch for sale\" contact \"@yahoo.com\" \"Texas Hill Country\"",
    "title": "1,140 Acre Working Ranch, Gillespie County TX | LandWatch",
    "accountName": "Hill Country Land Partners",
    "fullName": "Marla Devereaux",
    "username": null,
    "profileUrl": "",
    "url": "https://www.landwatch.com/gillespie-county-texas-farms-and-ranches-for-sale/pid/398210",
    "description": "Working cattle ranch with live water, Gillespie County. Enquiries to marla.devereaux.ranch@yahoo.com",
    "email": "marla.devereaux.ranch@yahoo.com",
    "emailDomain": "@yahoo.com",
    "possiblyTruncated": true,
    "foundAt": "2026-03-16T13:23:17Z"
  },
  {
    "network": "LandWatch",
    "keyword": "timberland broker",
    "query": "site:landwatch.com intitle:\"timberland broker\" \"@gmail.com\" \"Texas Hill Country\"",
    "title": "Cal Brennerman - Timberland Broker | LandWatch",
    "accountName": "Cal Brennerman",
    "fullName": "Cal Brennerman",
    "username": "cal-brennerman",
    "profileUrl": "https://www.landwatch.com/cal-brennerman",
    "url": "https://www.landwatch.com/cal-brennerman",
    "description": "Timber and recreational tracts across central Texas. Contact cal.brennerman.timber@gmail.com",
    "email": "cal.brennerman.timber@gmail.com",
    "emailDomain": "@gmail.com",
    "possiblyTruncated": false,
    "foundAt": "2026-03-16T13:24:03Z"
  }
]
```

### Use cases for the LandWatch Email Scraper

| Audience | How they use the LandWatch Email Scraper |
|---|---|
| Agricultural and farm credit lenders | Reach the brokers whose buyers need land, ranch or recreational-property financing. |
| Land surveyors | Prospect brokers in counties where boundary, plat and acreage work is routine. |
| Timber and mineral buyers | Find brokers listing timbered tracts and parcels with severed mineral rights. |
| Hunting-lease and recreational operators | Reach brokers who market high-fence, waterfowl and deer-lease inventory. |
| Rural insurance brokers | Target the agents whose clients need farm, ranch and outbuilding cover. |
| Title and closing firms | Build county-level lists of the brokers routing rural closings. |
| Fencing, water and land-improvement contractors | Reach brokers whose listings mention wells, fencing and access work. |
| Rural appraisal firms | Find the brokers who commission acreage and agricultural valuations. |

The LandWatch Email Scraper is a top-of-funnel sourcing step rather than a whole go-to-market motion.
Given the profile URL limitation, plan on enriching names yourself rather than expecting a research-ready profile link.

### LandWatch Email Scraper examples

A farm credit lender building a Hill Country pipeline runs the LandWatch Email Scraper with `keywords` set to `["ranch for sale", "land broker"]` and `location` `"Texas Hill Country"`.
They widen `customDomains` with `@outlook.com` and `@hotmail.com`, which matters more here than on commercial platforms because independent land brokers rarely run branded mail.
Rows arrive with names and emails but mostly empty `profileUrl`, so the lender enriches by name and brokerage before outreach.

A surveying firm covering three rural counties runs the LandWatch Email Scraper three times with `location` set to `"Val Verde County"`, `"Edwards County"` and `"Real County"`.
County-level runs match how land brokers describe their own territory, so relevance is far higher than a state-level sweep would give.
Comparing dataset sizes shows where broker density justifies a field crew.

A timber buyer points the LandWatch Email Scraper at brokers listing timbered acreage across the Southeast.
They set `keywords` to `["timberland broker", "timber tract", "hunting land"]` and rotate `location` through `"Ozarks"`, `"Cumberland Plateau"` and `"Georgia"`.
They then merge with the [Land And Farm Email Scraper](https://apify.com/leads-scraper/land-and-farm-email-scraper) and deduplicate on `email`, since rural brokers commonly list on several land portals.

### Responsible use of scraped land broker contacts

Everything the LandWatch Email Scraper returns was already published on a public web page and indexed by Google.
That does not make every downstream use lawful, and knowing which rules apply to you is your responsibility.
The notes below are practical guidance, not legal advice.

Under CAN-SPAM in the United States, commercial email must avoid deceptive headers and subject lines, identify itself as an advertisement where required, carry a valid physical postal address, and honour opt-out requests promptly.
Under the GDPR and UK GDPR, a named individual's business address is still personal data, so you need a lawful basis, a genuine legitimate-interest assessment where you rely on one, transparency about the source, and a working route to object or erase.
ePrivacy rules and several EU member states add consent requirements for electronic marketing beyond the GDPR baseline.

One point deserves extra care when you use the LandWatch Email Scraper.
Because land brokers frequently use personal consumer mailboxes, an address in your dataset may be closer to a personal account than a corporate one, so keep messages professional, relevant and easy to opt out of.
Hold `possiblyTruncated` rows out of a first send, keep a suppression list across runs, and retain `query` and `foundAt` as provenance.

### Limitations of the LandWatch Email Scraper

**LandWatch indexes land listings rather than broker profiles, so rows usually carry a broker email without a resolvable profile URL.**
In a measured live run, roughly 10 parsed blocks produced 8 identified records but only 1 profile URL and 5 unique emails.
Plan your workflow around name-plus-email enrichment rather than around clickable profiles.

The LandWatch Email Scraper only finds accounts whose email is publicly visible in Google's index.
A broker who keeps their address behind a contact form or inside an image will never appear, however many pages you fetch.

Google caps a single query at roughly 300 results, which is exactly why query expansion exists.
Leaving `expandQueries` on turns one 300-result ceiling into dozens of them.

`username` and `profileUrl` are only populated when LandWatch exposes a handle in the Google result, which here is the exception rather than the rule.
Those rows still carry `accountName` and often `fullName`. That is a Google limitation, not a bug.

`possiblyTruncated: true` means Google's snippet ellipsis touched the address and it may be incomplete.
The LandWatch Email Scraper requires the Apify GOOGLE_SERP proxy and cannot run without Apify proxy credentials.
Free Apify plans stop at 100 emails per run, and results vary with keywords, domains and location, so no volume is guaranteed.

### LandWatch Email Scraper FAQ

#### How many results should I expect from the LandWatch Email Scraper?

Moderate email volume with weak URL resolution: a measured live run produced 8 identified records, 1 profile URL and 5 unique emails per roughly 10 parsed blocks.
LandWatch indexes land listings rather than broker profiles, so rows usually carry a broker email without a resolvable profile URL.

#### Why do I get names but not profile URLs?

Because the indexed pages are property listings. A listing title names the broker but exposes no URL-safe handle for the Actor to build a canonical profile URL from.
You still get the name and the email, which is what an outreach sequence needs.

#### Can I make the LandWatch Email Scraper produce the missing profile URLs?

No. No configuration will manufacture a handle Google never printed.
If profile links matter, use the [Land.com Email Scraper](https://apify.com/leads-scraper/land-com-email-scraper), which resolves them far more consistently.

#### Does the LandWatch Email Scraper log into LandWatch?

No. It never logs in, never calls a LandWatch API and never opens landwatch.com in a browser.
Every field comes from publicly indexed Google search results.

#### Is this an official LandWatch tool?

No. It is an independent Apify Actor and is not affiliated with, supported by or endorsed by LandWatch.

#### What keywords work best in the LandWatch Email Scraper?

Listing language beats profile language on this platform.
`"hunting land"`, `"ranch for sale"`, `"timberland broker"` and `"acreage for sale"` outperform generic agent-directory phrasing.

#### Should the LandWatch Email Scraper use counties or metros in `location`?

Counties, almost always. Rural land markets are administered and described at county level, and named regions such as `"Ozarks"` are the strong second option.
Metro names will mostly miss the inventory LandWatch carries.

#### Which email domains should I use with the LandWatch Email Scraper?

Widen past the defaults immediately: add `@outlook.com` and `@hotmail.com` to `@gmail.com` and `@yahoo.com`.
Independent land brokers use consumer mailboxes at a much higher rate than commercial brokerages do.

#### What does `possiblyTruncated` mean?

Google's snippet cut the text with an ellipsis close enough to the address that it may be incomplete.
Verify those rows before sending.

#### Will one busy brokerage flood my dataset?

No. The LandWatch Email Scraper deduplicates globally, so a broker with hundreds of active tracts appears once.

#### Does a LandWatch Email Scraper run resume if it is interrupted?

Yes. State lives in the key-value store keyed by an input hash, with saves on `PERSIST_STATE`, `MIGRATING` and `ABORTING`.

#### Do I need my own proxy?

No, but Apify proxy credentials are required, because the LandWatch Email Scraper uses the Apify GOOGLE_SERP proxy.

### Related Actors

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| [Homes & Land Email and Phone Number Scraper](https://apify.com/neuro-scraper/homes-and-land-email-and-phone-number-scraper) | Emails and phone numbers from Homes & Land |
| [Homes.com Email and Phone Number Scraper](https://apify.com/leads-scraper/homes-com-email-and-phone-number-scraper) | Emails and phone numbers from Homes.com |
| [Keller Williams Email and Phone Number Scraper](https://apify.com/neuro-scraper/keller-williams-agent-email-and-phone-number-scraper) | Emails and phone numbers from Keller Williams |

### Leave a review

If the LandWatch Email Scraper saved you time, please leave a star rating and a short review on
the Actor page.

Reviews are how other buyers judge whether a tool works, and they tell us which features to
build next.

If something did not work, email <neurodata.apify@gmail.com>
instead - bugs get fixed faster than they get complained about.

### Support

Questions about the LandWatch Email Scraper, bug reports or a request for a custom build: contact neurodata.apify@gmail.com.

# Actor input Schema

## `keywords` (type: `array`):

Search terms describing the LandWatch accounts you want (niche, job title, industry).

## `location` (type: `string`):

Optional location phrase added to every query (e.g. "New York").

## `customDomains` (type: `array`):

Only emails ending with one of these domains are collected. With or without the leading @. Each domain is searched separately, so more domains means more results but a longer run - remove some for a faster, narrower search, or add your own (e.g. @company.com).

## `maxEmails` (type: `integer`):

Stop once this many unique emails have been collected.

## `countryCode` (type: `string`):

Two-letter country code for the search proxy (e.g. US, GB, DE). Empty for any.

## `expandQueries` (type: `boolean`):

Search each keyword x domain pair with several phrasings. Recommended - Google caps a single query at ~300 results.

## `queryModifiers` (type: `array`):

Extra words combined with each keyword when Expand queries is on. Tuned for LandWatch.

## `maxPagesPerQuery` (type: `integer`):

Google rarely returns more than ~30 pages for one query.

## `maxConcurrency` (type: `integer`):

How many queries run in parallel.

## Actor input object example

```json
{
  "keywords": [
    "land broker",
    "ranch for sale"
  ],
  "location": "",
  "customDomains": [
    "@gmail.com",
    "@yahoo.com"
  ],
  "maxEmails": 20,
  "countryCode": "",
  "expandQueries": true,
  "queryModifiers": [
    "email",
    "contact",
    "listing agent",
    "inquiries",
    "broker"
  ],
  "maxPagesPerQuery": 30,
  "maxConcurrency": 5
}
```

# Actor output Schema

## `results` (type: `string`):

Records produced by LandWatch Email Scraper, stored in the run's default dataset.

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "keywords": [
        "land broker",
        "ranch for sale"
    ],
    "location": "",
    "customDomains": [
        "@gmail.com",
        "@yahoo.com"
    ],
    "countryCode": "",
    "queryModifiers": [
        "email",
        "contact",
        "listing agent",
        "inquiries",
        "broker"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("leads-scraper/landwatch-email-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "keywords": [
        "land broker",
        "ranch for sale",
    ],
    "location": "",
    "customDomains": [
        "@gmail.com",
        "@yahoo.com",
    ],
    "countryCode": "",
    "queryModifiers": [
        "email",
        "contact",
        "listing agent",
        "inquiries",
        "broker",
    ],
}

# Run the Actor and wait for it to finish
run = client.actor("leads-scraper/landwatch-email-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "keywords": [
    "land broker",
    "ranch for sale"
  ],
  "location": "",
  "customDomains": [
    "@gmail.com",
    "@yahoo.com"
  ],
  "countryCode": "",
  "queryModifiers": [
    "email",
    "contact",
    "listing agent",
    "inquiries",
    "broker"
  ]
}' |
apify call leads-scraper/landwatch-email-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,leads-scraper/landwatch-email-scraper"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/OTmszYZigWSjU5x5H/builds/hBD8Z8qgb1o04Rw9w/openapi.json
