Land And Farm Email Scraper
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Land And Farm Email Scraper
Land And Farm Email Scraper SD - Land And Farm Email Scraper is a lead generation tool that extracts leads with public contact emails, account names and profile URLs from Land And Farm results by keyword, location and email domain - Land And Farm email extractor.
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Leads Scraper
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Land And Farm Email Scraper for farm and acreage broker emails
The Land And Farm Email Scraper collects publicly indexed contact emails belonging to the farm, ranch and acreage brokers whose listings appear on landandfarm.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 comes from Google's public index; nothing is fetched from the platform itself.
Yield note, stated plainly: Land And Farm 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 9 identified broker records, only 1 resolvable profile URL and 9 unique emails. Read that carefully, because it is a genuinely unusual shape: the email yield is close to the best in this category while the URL yield is close to the worst.
Land And Farm is an aggregator. It pulls farm, ranch and acreage inventory from a very wide set of independent rural brokerages into one national listing surface. That aggregation is exactly why the Land And Farm Email Scraper finds so many distinct broker addresses: you reach small brokerages that never build a searchable profile page anywhere. Those brokers publish their addresses on purpose, because a 240-acre pasture tract sells to whoever can actually reach the listing agent.
Understanding the identity versus URL split
Nine identified records and nine emails against one profile URL is the number that defines the Land And Farm Email Scraper. The indexed pages here are aggregated property listings, and a listing title names the broker or brokerage without exposing a URL-safe handle. So the Land And Farm Email Scraper reads a name from the title and an address from the block, but has nothing to construct a canonical profile URL from.
The good news is that the two fields you need for outreach, name and email, are present on most rows. What you lose is the ability to click through and research the broker before writing to them. If a clickable profile is essential to your workflow, the Land.com Email Scraper resolves handles on almost every row instead.
This is a Google indexing outcome rather than a defect. No input change will manufacture a handle that Google never printed, so plan on enriching by name and brokerage.
What the Land And Farm Email Scraper actually does
The Land And Farm Email Scraper builds Google queries with the site: operator against landandfarm.com, fetches result pages through the Apify GOOGLE_SERP proxy with aiohttp, and parses each 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 Land And Farm, never uses a Land And Farm API and never opens landandfarm.com in a browser. There is no JavaScript rendering, no authentication and no cookies in the pipeline.
Key features of the Land And Farm Email Scraper
Everything below ships with the Actor today; none of it is a roadmap item.
| Feature | What it does on an aggregated land listing source |
|---|---|
| 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 | Essential here: an aggregator repeats the same brokerage across hundreds of tracts, and each address is written once. |
| 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. |
Deduplication carries more weight in the Land And Farm Email Scraper than anywhere else in this family. A single regional brokerage may appear on hundreds of syndicated tracts, and without global deduplication it would dominate your dataset.
How the Land And Farm Email Scraper works
A Land And Farm 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:landandfarm.com "farm for sale" contact "@gmail.com" "Missouri".
The Land And Farm 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.
Because email yield here is high, raise maxEmails above the default of 20 or a run will end almost as soon as it starts.
Free Apify plans are capped at 100 emails per run; paid plans are uncapped.
Land And Farm Email Scraper input fields
| Field | Type | Default | Meaning |
|---|---|---|---|
keywords | array (required) | ["land broker", "farm 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 Land And Farm Email Scraper runs on defaults out of the box.
Because the index is listing-driven, land-use terms such as "pasture", "cropland" and "acreage for sale" outperform agent-directory phrasing.
Location targeting in the Land And Farm Email Scraper
location is the most valuable input in this Actor, and on an aggregator it behaves differently again from a broker-profile platform.
Land And Farm organises inventory into state and county landing pages, so those phrases align with the grain of what Google has indexed.
Running the Land And Farm Email Scraper once per state or county gives markedly better relevance than one national sweep.
State phrases are the primary tool here, because the aggregator's own structure is state-first: "Missouri", "Kentucky", "Oklahoma", "Virginia", "Tennessee".
Farm-belt and Southeastern states carry the deepest inventory, and land licensing, water rights and property tax rules are all state-level anyway.
Pair a state-level location with countryCode: "US" so the search proxy resolves to the right index.
County phrases are the precision tool and match how rural listing titles are written: "Callaway County", "Barren County", "Bedford County".
Use them when you are sizing one territory rather than building broad coverage, and expect fewer but sharper rows.
Named farming regions work as a third option: "Bluegrass", "Ozarks", "Shenandoah Valley", "Piedmont".
Avoid metro names entirely on this Actor; a query for "Kansas City" will mostly miss the acreage inventory that makes this source useful.
Example input JSON
{"keywords": ["farm for sale", "acreage for sale", "land broker"],"location": "Missouri","customDomains": ["@gmail.com", "@yahoo.com", "@outlook.com", "@hotmail.com"],"maxEmails": 300,"countryCode": "US","expandQueries": true,"queryModifiers": ["email", "contact", "listing agent", "inquiries", "broker"],"maxPagesPerQuery": 30,"maxConcurrency": 5}
Land And Farm Email Scraper output fields
Every dataset item written by the Land And Farm 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 Land And Farm 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 username: null and an empty profileUrl on the large majority of rows, alongside a usable email and fullName.
The example shows two typical listing rows and one of the rarer resolved-handle rows, rather than pretending the split does not exist.
Example output JSON
[{"network": "Land And Farm","keyword": "farm for sale","query": "site:landandfarm.com \"farm for sale\" contact \"@gmail.com\" \"Missouri\"","title": "240 Acres Pasture and Cropland, Callaway County MO - Delphine Brackett | Land And Farm","accountName": "Delphine Brackett","fullName": "Delphine Brackett","username": null,"profileUrl": "","url": "https://www.landandfarm.com/property/240_Acres_Callaway_County-1184722","description": "240 acres mixed pasture and cropland with pond and barn. Showings: delphine.brackett.land@gmail.com","email": "delphine.brackett.land@gmail.com","emailDomain": "@gmail.com","possiblyTruncated": false,"foundAt": "2026-03-18T15:11:29Z"},{"network": "Land And Farm","keyword": "acreage for sale","query": "site:landandfarm.com \"acreage for sale\" broker \"@yahoo.com\" \"Missouri\"","title": "78 Acres Recreational Acreage, Osage County MO | Land And Farm","accountName": "Heartland Acreage Realty","fullName": "Sutton Vaillancourt","username": null,"profileUrl": "","url": "https://www.landandfarm.com/property/78_Acres_Osage_County-1177310","description": "78 wooded acres with creek frontage and food plots. Enquiries to sutton.vaillancourt.acres@yahoo.com","email": "sutton.vaillancourt.acres@yahoo.com","emailDomain": "@yahoo.com","possiblyTruncated": true,"foundAt": "2026-03-18T15:12:04Z"},{"network": "Land And Farm","keyword": "land broker","query": "site:landandfarm.com intitle:\"land broker\" \"@gmail.com\" \"Missouri\"","title": "Orrin Falkenrath - Land Broker | Land And Farm","accountName": "Orrin Falkenrath","fullName": "Orrin Falkenrath","username": "orrin-falkenrath","profileUrl": "https://www.landandfarm.com/orrin-falkenrath","url": "https://www.landandfarm.com/orrin-falkenrath","description": "Farm, timber and recreational tracts across central Missouri. Contact orrin.falkenrath.farms@gmail.com","email": "orrin.falkenrath.farms@gmail.com","emailDomain": "@gmail.com","possiblyTruncated": false,"foundAt": "2026-03-18T15:13:41Z"}]
Use cases for the Land And Farm Email Scraper
| Audience | How they use the Land And Farm Email Scraper |
|---|---|
| Agricultural and farm credit lenders | Reach the long tail of independent brokers whose buyers need acreage and farm financing. |
| Rural insurance brokers | Target agents whose clients need farm, ranch, crop and outbuilding cover. |
| Land surveyors | Prospect brokers in counties where boundary, plat and split-parcel work is routine. |
| Timber and mineral buyers | Find brokers listing wooded tracts and parcels with severed mineral rights. |
| Hunting-lease and recreational operators | Reach brokers marketing food plots, creek frontage and deer-lease acreage. |
| Rural appraisal firms | Find brokers who commission acreage and agricultural valuations. |
| Title and closing firms | Build state-level lists of the brokers routing rural closings. |
| Fencing, pond and land-improvement contractors | Reach brokers whose listings mention wells, ponds, fencing and access work. |
The Land And Farm Email Scraper is a top-of-funnel sourcing step, not a whole go-to-market motion. Its particular strength is reaching small independent brokerages that larger, profile-driven platforms simply do not index.
Land And Farm Email Scraper examples
A rural insurance brokerage building a Missouri book runs the Land And Farm Email Scraper with keywords set to ["farm for sale", "acreage for sale"] and location "Missouri", with maxEmails at 300.
They widen customDomains with @outlook.com and @hotmail.com, which matters a great deal here because independent rural brokers rarely run branded mail.
Rows arrive with names and emails but almost no profileUrl, so the team enriches by name and brokerage before the first send.
A land surveying firm sizing three counties runs the Land And Farm Email Scraper separately for "Callaway County", "Osage County" and "Boone County".
County-level runs match the language of rural listing titles, so relevance is far higher than a national sweep.
Comparing dataset sizes shows where broker density justifies a field crew.
A timber buyer wants the widest possible net across the Southeast.
They run the Land And Farm Email Scraper for its email yield, then merge with the LandWatch Email Scraper and the Land.com Email Scraper and deduplicate on email.
Because rural brokers syndicate to multiple land portals, deduplication removes real overlap rather than noise.
Responsible use of scraped land broker contacts
Everything the Land And Farm 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 particular care with Land And Farm Email Scraper output.
Because you are reaching small independent brokerages using personal consumer mailboxes, an address here is often closer to a personal account than a corporate one.
Keep messages professional and specific to the broker's county, hold possiblyTruncated rows out of a first send, maintain a suppression list across runs, and retain query and foundAt as provenance.
Limitations of the Land And Farm Email Scraper
Land And Farm 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 9 identified records and 9 unique emails but only 1 profile URL. Build your workflow around name-plus-email enrichment rather than around clickable profiles.
The Land And Farm 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.
Because email yield is high here, that cap binds sooner than on a thin source, so leaving expandQueries on genuinely matters.
username and profileUrl are only populated when Land And Farm exposes a handle in the Google result, which here is the exception rather than the rule.
Those rows still carry accountName and usually 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 Land And Farm 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.
Land And Farm Email Scraper FAQ
How many results should I expect from the Land And Farm Email Scraper?
Strong email volume with weak URL resolution: a measured live run produced 9 identified records, 9 unique emails and just 1 profile URL per roughly 10 parsed blocks. Land And Farm indexes land listings rather than broker profiles, so rows usually carry a broker email without a resolvable profile URL.
Why do I get names and emails but not profile URLs?
Because the indexed pages are aggregated property listings. A listing title names the broker but exposes no URL-safe handle to build a canonical profile URL from. The two fields outreach actually needs, name and email, are present on most rows.
Can I make the Land And Farm Email Scraper produce the missing profile URLs?
No. No configuration will manufacture a handle Google never printed. If clickable profiles matter, use the Land.com Email Scraper instead.
Does the Land And Farm Email Scraper log into Land And Farm?
No. It never logs in, never calls an API and never opens landandfarm.com in a browser. Every field comes from publicly indexed Google search results.
Is this an official Land And Farm tool?
No. It is an independent Apify Actor and is not affiliated with, supported by or endorsed by Land And Farm.
What keywords work best in the Land And Farm Email Scraper?
Land-use and listing language beats agent-directory language on an aggregator.
"farm for sale", "acreage for sale", "pasture" and "cropland" outperform profile-style phrasing.
Should I use states or counties in location?
States first, because the aggregator organises inventory state-first; counties when you need precision on one territory. Metro names perform poorly, since acreage is not described that way.
Which email domains should I use with the Land And Farm Email Scraper?
Widen past the defaults immediately: add @outlook.com and @hotmail.com to @gmail.com and @yahoo.com.
Small rural brokerages use consumer mailboxes at a much higher rate than institutional firms.
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 syndicating brokerage flood my dataset?
No. The Land And Farm Email Scraper deduplicates globally, so a brokerage on hundreds of syndicated tracts appears once.
Does a Land And Farm 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 Land And Farm Email Scraper uses the Apify GOOGLE_SERP proxy.
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