Sahibinden Land Listings: 226K Plots for Sale, Plus 86K from HepsiEmlak
Land for sale across Turkey from Sahibinden and HepsiEmlak for a land investor: 226,000 plots in the first file and 86,200 HepsiEmlak rows.
MyHome.ge Scraper for Georgian Sale, Rent and Daily Rent Listings
MyHome.ge labels a flat by its Project type - Czech, Moscow, Lviv, Tbilisi yard - as well as by price. Our MyHome.ge scraper keeps those labels beside prices in GEL and USD.
Plans from €169 a month · Free project assessment · Reply within 1 business day
CSV · Excel · JSON · XML · FTP · SFTP · Amazon S3 · Google Cloud
myhome.gewhat you get
Typical fields for property portals
addresspriceproperty_typebedroomsarea_m2agentlisted_at
Delivery
API, JSON feed or CSV, XLSX and JSON files
ScheduleOne-time, monthly, weekly, daily or 3 times a day
MyHome.ge Data Scraping as a Managed Service
- You send
MyHome.ge pages, filters, fields and a schedule
- We run the scrapers
Built, monitored and repaired by our team
- You receive the data
API, JSON feed or CSV, XLSX and JSON files
You choose the deal types, cities, districts and property types; ScrapeIt builds the MyHome.ge crawler, runs it on your schedule and fixes it when the site changes. Rendering pages in a real browser, pacing requests, rotating proxies and handling CAPTCHAs are part of the service.
The site exists in Georgian, English and Russian, and a listing keeps one ID in all three - only the wording of its address changes. Street names often stay in Georgian script on English pages; we keep them as published and add the English district and urban area names MyHome assigns. Files arrive as CSV, Excel or JSON with notes on every field, through our API or by SFTP. Every project starts with a free assessment of scope.
MyHome.ge Dataset: Listing Fields We Extract
A MyHome.ge listing opens with its ID and a views counter, then the price and a column of labelled parameters, while search cards add a date and time. Each goes into its own column:
- Identitylisting ID, URL, the generated title (2 room apartment for sale in saburtalo), the date and time from the search card, views, photo count and links, and the paid badge: S-VIP, VIP Plus or VIP.
- Dealtransaction type (For sale, For rent, Daily rent, Leasehold mortgage, For lease); for a leasehold mortgage the contract type, Owner's right of living or Mortgagor's right of living; for daily rent the number of guests.
- Pricetotal in GEL and in USD, price per square metre and the value-scale band.
- Propertyreal estate type (Apartments, Houses, Country houses, Land plots, Commercial, Hotels), area, rooms, bedrooms, floor and total floors, bathrooms, balconies and their area.
- BuildingStatus (Old building, New building, Under construction), Condition (Newly renovated, Old renovated, White frame, Black frame, Green frame, White Plus and others), Project type, and heating, hot water and parking where filled in.
- Locationcity, district, urban area, street address and, in Tbilisi, the metro station.
- Advertiserrole (Owner, Agent, Premier Agent or Construction company), the company name for agencies and developers, and the advertiser's listing count shown as All statements.
Condition needs care. New flats can be sold unfinished, and the frame labels - თეთრი კარკასი (white frame) against შავი კარკასი (black frame) - say how far the work has gone, so price per square metre compares fairly only within one label. We keep the label verbatim and add a normalised code. Owners' first names, which listings show, are left out by default under GDPR.
MyHome.ge Price Tracker, Projects and Value Scale
Single listings are the base; the rest comes from MyHome.ge's other sections and from repeat runs.
- Value scaleMyHome places sale and rent listings on its own five-step scale, from Top Price to High Price, judged against listings with similar parameters on the site. The English label misleads: Top Price is the cheap end, as the Georgian original, დაბალი ფასი (low price), makes plain. We store the band as an ordered value.
- Projectsthe developer catalogue lists each project with Finished or Under construction status, sale terms (Internal Installment, Bank Installment, Lump Sum Payment), a starting price per square metre, address, developer and unit types by rooms with the smallest area and the lowest price.
- Search coverageresults sort by date or price and filter by owner or construction company, and the search box takes a listing ID, text or cadastral code, so a city is cut into slices and merged on the ID.
- Price historyrepeat runs on the same IDs record price cuts, relistings, growth in views and the day a flat disappears.
District averages are computed from the listings themselves, by deal type, rooms and Condition, and delivered next to the raw rows.
About MyHome.ge and Georgia's Online Property Market
- Source
- myhome.ge
- Category
- property portals
- Delivery
- API, JSON feed, CSV, XLSX
- Plans
- From €169 a month
MyHome.ge is a Georgian property portal from the Tnet group of platforms. It runs in Georgian, English and Russian and shows prices in lari with a one-click switch to dollars, while the page title may keep a different currency - a Didi Digomi sale is titled in dollars, a daily rent in Gldani in lari.
Its transaction types go beyond sale and rent: იყიდება (for sale), ქირავდება (for rent), ქირავდება დღიურად (daily rent), გირავდება (leasehold mortgage, a deal in which the owner receives a lump sum against the property and the listing states who keeps the right to live in it) and For lease. Property types run from apartments and houses to country houses, land plots, commercial space and hotels.
Location is a four-level tree: city, district (Vake-Saburtalo, Gldani-Nadzaladevi), urban area (Didi Digomi, Digomi 1-9, Nutsubidze plateau) and street, with metro stations as a separate filter in Tbilisi. The site's own category links reach daily rentals in Batumi, Kobuleti and Bakuriani as well as the capital. Beside the listings sit a Projects section for developers, an Agencies directory of brokers, a Mortgage section that turns a listing into a bank loan request, and agreement templates.
25Developers
500+Customers
1.5BPages extracted
15,000+Hours saved for our clients
MyHome.ge scraping plans and pricing
Delivery: CSV, JSON or XLSX files, our API or a JSON feed. MCP server on request.
Full plan detailsWhy Scrape MyHome.ge Listings
MyHome.ge data fits a market where a new flat's Condition can be a bare frame and an old flat's Project type names the Soviet series it was built to.
- Developers price a launch against nearby projects on price per square metre, sale terms and Condition, and follow rivals' stock that is still Under construction.
- Short-stay investors compare daily rent prices and guest capacity in Saburtalo, Old Tbilisi or Batumi with long-term rents for the same room count.
- Banks and valuers pull comparables by district, Project type, floor and Status, and read the value-scale band as a second opinion.
- Agencies measure Owner against Agent listings. MyHome itself moves an advertiser to Agent status once they hold more than six active listings across MyHome and Livo combined, so the Owner label is a fair sign of a private seller.
- Researchers follow the leasehold mortgage segment and its two contract types, and set its sums against rents in the same districts.
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About ScrapeIt
ScrapeIt builds and operates crawlers for clients who want the data, not a tool to maintain. On MyHome.ge that means three languages, two currencies and a location tree that has to stay consistent from run to run. Plans start from EUR 169 a month, or EUR 199 for a one-time extract. Files arrive on the schedule you set - daily, weekly or on demand - by e-mail, SFTP, Google Cloud Storage or our API, with documentation for every column.
FAQ
Still unsure? Write to info@scrapeit.io
Do you offer a MyHome.ge API for listing data?
Yes. Through the ScrapeIt MyHome.ge API you get the listing ID, deal type, price in GEL and USD, area, floor, Condition and district as JSON, served from an endpoint we host and updated as often as you decide. The same records can also arrive as CSV or XLSX files, a JSON feed or rows written straight into your database.
Is it legal to scrape MyHome.ge?
Yes. MyHome.ge shows listings, prices, parameters and project pages to every visitor, signed in or not. We collect only publicly available data - everything a visitor can see on MyHome.ge - and we collect it legally. Owners' names are left out by default, and a phone number goes into the data only when a project needs it and the listing shows it openly.
Can you cover daily rent and leasehold mortgage listings, not only sales?
Yes. Daily rent listings add the number of guests and a price per day; leasehold mortgage listings add the contract type, Owner's right of living or Mortgagor's right of living. All deal types land in one table with a deal-type column, so a district can be compared across them.
Which cities can a MyHome.ge dataset cover beyond Tbilisi?
Tbilisi has the deepest location tree, down to urban area and metro station, but the site also carries Batumi, Kutaisi and Rustavi and resort towns such as Kobuleti and Bakuriani. Every row carries city, district and urban area, so a regional subset is a filter rather than a separate project.
Can you track MyHome.ge prices over time?
Yes. We revisit the same searches on your schedule and match listings by ID, recording the GEL and USD price, price per square metre, value-scale band and views on each run. Price cuts, relistings and removals then show up as dated changes; daily runs suit rentals, weekly runs usually suit sales.
How it works
- 1
Make a request
You share your needs, expectations, and desired timeframe. We'll suggest the best solution based on your request and budget.
- 2
We configure the crawlers
Our specialists configure the crawlers and extract a sample dataset for your review before proceeding with the full-scale extraction.
- 3
Collect and deliver
Once you approve the sample, we launch the project and start full data collection. We gather, filter, and structure the data for easy use, delivering it on time in your preferred format.
- 4
Maintain and support
Our team manages ongoing processes, monitors website changes, and supports all data extraction cycles. We can also help integrate data into your systems or create dashboards to simplify analysis.
Request a quote
Tell us which sites, which fields and how often. A couple of lines is enough to start.
- We reply within 1 business day
- A sample dataset before the full run
- We sign an NDA on request
- Delivery by API, JSON feed or files