# Olx Product Search Scraper (`api-empire/olx-product-search-scraper`) Actor πŸ”Ž OLX Product Search Scraper pulls structured data from OLX search results β€” titles, prices, locations, seller links, images, URLs & posted dates. βš™οΈ Filters by keywords, category, location & price. πŸ“Š Export CSV/JSON. πŸš€ Ideal for price tracking, market research & lead gen. - **URL**: https://apify.com/api-empire/olx-product-search-scraper.md - **Developed by:** [API Empire](https://apify.com/api-empire) (community) - **Categories:** E-commerce, Lead generation, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $4.99 / 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. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. 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. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use 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 ## OLX Product Search Scraper (All Country Sites) Extracts listing data from OLX (name, price, location, images, seller, details, etc.). - **Full OLX `https://…` links** β†’ one HTML page is fetched and parsed per row (same idea as `details.py`). - **Plain keywords** (e.g. `mercedes-benz`, not a URL) β†’ OLX India search is used to find listings, then each result page is opened (same idea as `main.py` with `CONFIG["query"]`). ### Input (matches Apify Console form) | Field | Role | |--------|------| | **startUrls** | Full OLX URLs **or** search keywords (one string per row). | | **maxItems** | Max listings per **link** or per **keyword** search step. | | **maxRetries** | Retries per URL after failure (under **Scrape options**). | | **proxyConfiguration** | Default **No proxy**; enable Datacenter/Residential if blocked (under **Scrape options**). | ### Output Dataset rows: `id`, `url`, `name`, `description`, `details`, `sku`, `category`, `total_views`, `created_time`, `location`, `image_urls`, `price`, `currency`, `seller`, `from_url`. ### Run ```bash pip install -r requirements.txt apify run ```` Apify proxy requires `APIFY_TOKEN` when `useApifyProxy` is true. ### Legal Public listings only; comply with OLX terms and local law. # Actor input Schema ## `startUrls` (type: `array`): πŸ“‹ **Full OLX links** (https://www.olx… listing or category pages) **or** a **keyword** like `mercedes-benz` to search OLX India (same idea as typing a query on OLX). ✨ One row per step, processed in order. Keywords are not opened as websites β€” they run a product search first, then each result is opened. ## `maxItems` (type: `integer`): 🎚️ Max listings per **OLX link** or per **keyword search** (search returns up to this many results, then each is opened). πŸ“‰ Lower = faster; πŸ“ˆ higher = more rows. ## `maxRetries` (type: `integer`): πŸ’ͺ How many **extra tries** per link if the first shot doesn’t work. Example: **2** here means up to **three** tries in total β€” handy on flaky networks or busy sites. ## `proxyConfiguration` (type: `object`): 🌐 **Default:** no proxy β€” simplest setup. πŸš€ If you hit blocks or empty pages, switch to **Datacenter** or **Residential** here. πŸ‡§πŸ‡· On **.br** OLX, many users pick **Datacenter** with country **US**. ## Actor input object example ```json { "startUrls": [ "mercedes-benz", "https://www.olx.in/vile-parle-east_g5371523/cars_c84?filter=make_eq_mercedes-benz%2Cmodel_eq_mercedes-benz-s-class" ], "maxItems": 20, "maxRetries": 2, "proxyConfiguration": { "useApifyProxy": false } } ``` # 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 = { "startUrls": [ "mercedes-benz", "https://www.olx.in/vile-parle-east_g5371523/cars_c84?filter=make_eq_mercedes-benz%2Cmodel_eq_mercedes-benz-s-class" ], "maxRetries": 2, "proxyConfiguration": { "useApifyProxy": false } }; // Run the Actor and wait for it to finish const run = await client.actor("api-empire/olx-product-search-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`πŸ’Ύ 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); }); // πŸ“š Want to learn more πŸ“–? Go to β†’ 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 = { "startUrls": [ "mercedes-benz", "https://www.olx.in/vile-parle-east_g5371523/cars_c84?filter=make_eq_mercedes-benz%2Cmodel_eq_mercedes-benz-s-class", ], "maxRetries": 2, "proxyConfiguration": { "useApifyProxy": False }, } # Run the Actor and wait for it to finish run = client.actor("api-empire/olx-product-search-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "startUrls": [ "mercedes-benz", "https://www.olx.in/vile-parle-east_g5371523/cars_c84?filter=make_eq_mercedes-benz%2Cmodel_eq_mercedes-benz-s-class" ], "maxRetries": 2, "proxyConfiguration": { "useApifyProxy": false } }' | apify call api-empire/olx-product-search-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=api-empire/olx-product-search-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Olx Product Search Scraper", "description": "πŸ”Ž OLX Product Search Scraper pulls structured data from OLX search results β€” titles, prices, locations, seller links, images, URLs & posted dates. βš™οΈ Filters by keywords, category, location & price. πŸ“Š Export CSV/JSON. πŸš€ Ideal for price tracking, market research & lead gen.", "version": "1.0", "x-build-id": "n5LKazumK21Vt8DfS" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/api-empire~olx-product-search-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-api-empire-olx-product-search-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/api-empire~olx-product-search-scraper/runs": { "post": { "operationId": "runs-sync-api-empire-olx-product-search-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/api-empire~olx-product-search-scraper/run-sync": { "post": { "operationId": "run-sync-api-empire-olx-product-search-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "required": [ "startUrls", "maxItems" ], "properties": { "startUrls": { "title": "πŸ”— OLX page URLs or search keywords", "type": "array", "description": "πŸ“‹ **Full OLX links** (https://www.olx… listing or category pages) **or** a **keyword** like `mercedes-benz` to search OLX India (same idea as typing a query on OLX). ✨ One row per step, processed in order. Keywords are not opened as websites β€” they run a product search first, then each result is opened.", "items": { "type": "string" } }, "maxItems": { "title": "πŸ”’ Limit listings per step", "minimum": 1, "maximum": 5000, "type": "integer", "description": "🎚️ Max listings per **OLX link** or per **keyword search** (search returns up to this many results, then each is opened). πŸ“‰ Lower = faster; πŸ“ˆ higher = more rows.", "default": 20 }, "maxRetries": { "title": "πŸ” Limit the number of retries for each URL", "minimum": 0, "maximum": 10, "type": "integer", "description": "πŸ’ͺ How many **extra tries** per link if the first shot doesn’t work. Example: **2** here means up to **three** tries in total β€” handy on flaky networks or busy sites.", "default": 2 }, "proxyConfiguration": { "title": "πŸ›‘οΈ Proxy configuration", "type": "object", "description": "🌐 **Default:** no proxy β€” simplest setup. πŸš€ If you hit blocks or empty pages, switch to **Datacenter** or **Residential** here. πŸ‡§πŸ‡· On **.br** OLX, many users pick **Datacenter** with country **US**." } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```