# SS.LV - Nekustamie īpašumi - Get Excel or JSON (`learned_cotton/ss-lv`) Actor First 1,000 listing is FREE for new users. - **URL**: https://apify.com/learned\_cotton/ss-lv.md - **Developed by:** [Art Kuzmics](https://apify.com/learned_cotton) (community) - **Categories:** Real estate - **Stats:** 26 total users, 5 monthly users, 96.6% runs succeeded, 0 bookmarks - **User rating**: 5.00 out of 5 stars ## Pricing from $5.00 / 1,000 results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event ## What's an Apify Actor? Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows. 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. Actors are written with capital "A". ## 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. The best way to integrate Actors is as follows. - **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use). - **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`. - **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`. - **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`. - **Any other language** — the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ### Get Excel or JSON from all Real Estate listings in Latvia on SS.LV The fields extracted: - **Address**: Full Address of property. - **City**: City, where the property is located. - **Area**: Total area of a property (sq.m.) - **Floor**: The floor on which the property is located - **Total Floors**: Total floors in the building - **Description**: Full description of the listing - **Point\_lat**: Latitude Coordinate of the property's location - **Point\_lon**: Longitude Coordinate of the property's location - **Timestamp**: Date and time the property was listed. - **URL**: Web link to the property listing Example of exported listings: | **address** | **city** | **area** | **price** | **floor** | **total\_floors** | **description** | **point\_lat** | **point\_lon** | **timestamp** | **url** | | ---------------- | -------- |----------| --------- | --------- | ---------------- |-----------------------------------------------------------------| ----------------- | ----------------- | ---------------- | ------------------------------------------------------------------------------------------------------------------------------------------ | | **Brīvības 144** | Rīga | 32 | 232 | 1 | 5 | Izīrē renovētas biroja telpas. Ir apsargāta autostāvvieta ... | 56.9639866 | 24.1402331 | 10.12.2025 21:32 | | | **Lizuma 1** | Rīga | 40.5 | 300 | 2 | 5 | Alfa. Nomai tiek piedāvātas biroja telpas 40 kv. m. blakus ... | 56.98577427236340 | 24.20522059313000 | 10.12.2025 19:55 | | | **Blaumaņa 5a** | Rīga | 307 | 2150 | 4 | 6 | No 2026. gada janvāra pieejamas biroja telpas reprezentablā ... | 56.9548681 | 24.1226257 | 10.12.2025 19:13 | | Compatible with kepler.gl map visualisation. To create heatmap, just drag generated CSV to . ![Kelper Map](https://raw.githubusercontent.com/artkuzmics/apify_guidance/refs/heads/main/guidance/kelper_analysis.jpg "Title") ### How it works #### A. Find listing categories that you want to scrape 1. Go to https://www.ss.lv/en/real-estate/ and find real estate type that you want to scrape. Click on it. ![Property Type](https://raw.githubusercontent.com/artkuzmics/apify_guidance/refs/heads/main/guidance/01_ss-lv.jpg "Title") 2. Pick the city that you want to scrape. For example, "Riga". Or, if you want to get all listings across Latvia that appeared in the last 1, 2 or 5 days click on "All advertisements" and select appropriate option. ![Choose City](https://raw.githubusercontent.com/artkuzmics/apify_guidance/refs/heads/main/guidance/02_ss-lv.jpg "Title") 3. Choose area that you want to scrape or click "Search" in the top right if you want to get listing from all Riga. ![Choose Area](https://raw.githubusercontent.com/artkuzmics/apify_guidance/refs/heads/main/guidance/03_ss-lv.jpg "Title") 4. Select deal type "Sell" (for sale) or "Hand Over" (for rent). Copy the link. For example https://www.ss.lv/en/real-estate/flats/riga/sell/filter/ for all flats for sale in Riga. ![Deal Type](https://raw.githubusercontent.com/artkuzmics/apify_guidance/refs/heads/main/guidance/04_ss-lv.jpg "Title") #### B. Launch scraper 1. Click "Get Started" in the top right corner. ![Property Type](https://raw.githubusercontent.com/artkuzmics/apify_guidance/refs/heads/main/guidance/01_apify.jpg "Title") 2. Sign up using your Google Account. This will get you to your Console. ![Property Type](https://raw.githubusercontent.com/artkuzmics/apify_guidance/refs/heads/main/guidance/02_apify.jpg "Title") 3. In the search bar, type *learned\_cotton/ss-lv* and click to select the SS.LV scraper. ![Property Type](https://raw.githubusercontent.com/artkuzmics/apify_guidance/refs/heads/main/guidance/03_apify.jpg "Title") d. In "Start URL" put in the link that you copied at 1.e. step (For example, https://www.ss.lv/en/real-estate/flats/riga/sell/filter/). e. Click Start. The scraper is working. # Actor input Schema ## `start_url` (type: `string`): URL for scraping ## Actor input object example ```json { "start_url": "https://www.ss.lv/en/real-estate/flats/riga/sell/filter/" } ``` # Actor output Schema ## `overview` (type: `string`): No description # 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 '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "start_url": "https://www.ss.lv/en/real-estate/flats/riga/sell/filter/" }; // Run the Actor and wait for it to finish const run = await client.actor("learned_cotton/ss-lv").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 '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "start_url": "https://www.ss.lv/en/real-estate/flats/riga/sell/filter/" } # Run the Actor and wait for it to finish run = client.actor("learned_cotton/ss-lv").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 '{ "start_url": "https://www.ss.lv/en/real-estate/flats/riga/sell/filter/" }' | apify call learned_cotton/ss-lv --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "type": "http", "url": "https://mcp.apify.com/?tools=fetch-actor-details,learned_cotton/ss-lv" } } } ``` 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 ` 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/4EuFbhUdiB8u1Xm6q/builds/CSnb52MoP4y1ARgpe/openapi.json