# OLX India Classifieds Scraper (`fascinating_lentil/olx-india-classifieds-scraper`) Actor Scrape OLX India classifieds listings with prices, seller type, categories, locations, images, posting dates, and listing URLs. No login or API key required. - **URL**: https://apify.com/fascinating\_lentil/olx-india-classifieds-scraper.md - **Developed by:** [Md Jakaria Mirza](https://apify.com/fascinating_lentil) (community) - **Categories:** E-commerce, Other - **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $2.00 / 1,000 listing scrapeds 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/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 India Classifieds Scraper - Prices, Listings & Locations The OLX India classifieds scraper extracts real listing data from OLX India by keyword and location. Export to JSON, CSV, Excel, or HTML, or pull via the Apify API — no login and no API key required. This scraper searches OLX India, reads listings from OLX's public JSON endpoints, and saves prices, seller metadata, categories, locations, images, posting dates, and listing URLs into one clean dataset. Built with Node.js 20, TypeScript, and native fetch, it uses optional Apify residential proxies with retries and resilient extraction so runs stay reliable and repeatable. ### What It Extracts - Listing ID and title - Search keyword and requested location - Category ID and category name when available - Price, display price, and currency - Seller type, business seller flag, elite seller flag, and KYC flag when available - Redacted listing description - Status, state, city, area, latitude, and longitude - Posted date, created date, and valid-to date - Main image URL, image count, video count, and favorite count - OLX listing URL - Non-sensitive listing parameters such as brand, model, year, fuel type, or size when available - Scraped timestamp ### Use Cases - Classifieds price monitoring for phones, cars, bikes, furniture, and electronics - Local resale market research across Indian cities and states - Dealer and business-listing activity analysis for market research - Inventory tracking for second-hand marketplaces and recommerce teams - Trend analysis for used-product demand, price ranges, and listing volume ### Pricing | Event | Price | 1,000 listings | 10,000 listings | | --- | ---: | ---: | ---: | | `listing-scraped` | `$0.002` per listing | `$2.00` | `$20.00` | You are charged only after a clean listing record is saved to the dataset. ### Input | Field | Type | Description | | --- | --- | --- | | `keywords` | string array | Search terms such as `iphone`, `sofa`, `swift`, or `laptop`. | | `locations` | string array | City, state, neighborhood, or `India`. Examples: `Mumbai`, `Delhi`, `Bengaluru`, `Maharashtra`. | | `categoryId` | string | Optional OLX category ID. Leave empty to search all categories. | | `minPrice` | integer | Optional minimum price in INR. | | `maxPrice` | integer | Optional maximum price in INR. | | `maxResults` | integer | Number of unique listings to save, up to 500. | | `includeItemDetails` | boolean | Fetch each item detail endpoint for richer fields. | | `includeDescription` | boolean | Include descriptions with contact-like strings redacted. | | `proxyConfiguration` | object | Optional Apify Proxy settings. | ### How to Scrape OLX India Classifieds (Step by Step) 1. Enter one or more keywords, such as `iphone`, `bike`, or `flat`. 2. Add one or more locations, such as `Mumbai`, `Delhi`, or `India`. 3. Optionally set a category ID, price range, and max result count. 4. Run the actor and wait for the dataset to fill with OLX listings. 5. Export the results as JSON, CSV, Excel, or connect through the Apify API. ### Example Input ```json { "keywords": ["iphone"], "locations": ["Mumbai"], "maxResults": 50, "includeItemDetails": true, "includeDescription": true } ```` #### Multi-city, price-filtered search ```json { "keywords": ["swift", "creta"], "locations": ["Delhi", "Bengaluru"], "minPrice": 200000, "maxPrice": 800000, "maxResults": 200, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] } } ``` ### Sample Output ```json { "source": "olx", "searchQuery": "iphone", "locationQuery": "Mumbai", "listingId": "1845620279", "title": "Iphone Xs ( Gold )", "categoryId": "1453", "category": "Mobile Phones", "price": 20000, "priceDisplay": "₹ 20,000", "currency": "INR", "sellerType": "Regular", "isBusiness": false, "eliteSeller": false, "isKycVerified": false, "hasPhoneParam": false, "description": "Iphone Xs. Gold colour. 256gb. Battery health 80%. All original (genuine). Contact for more.", "status": "Active", "state": "Maharashtra", "city": "Mumbai", "area": null, "location": "Mumbai, Maharashtra", "latitude": 19.059, "longitude": 72.86, "postedAt": "2026-06-10T19:42:22+05:30", "createdAt": "2026-06-10T19:41:01+05:30", "validTo": "2026-07-06T15:59:14+05:30", "imageUrl": "https://apollo.olx.in/v1/files/ffdgkq7j3he03-IN/image;s=505x673", "imageCount": 6, "videoCount": 0, "favoriteCount": 0, "listingUrl": "https://www.olx.in/item/iphone-xs-gold-iid-1845620279", "parameters": { "brand": "iPhone" }, "scrapedAt": "2026-06-12T19:55:50.582Z" } ``` ### API Example ```bash curl -X POST "https://api.apify.com/v2/acts/YOUR_ACTOR_ID/runs?token=YOUR_API_TOKEN" \ -H "Content-Type: application/json" \ -d '{"keywords":["iphone"],"locations":["Mumbai"],"maxResults":50}' ``` ```js import { ApifyClient } from 'apify-client'; const client = new ApifyClient({ token: 'YOUR_API_TOKEN' }); const run = await client.actor('YOUR_ACTOR_ID').call({ keywords: ['iphone'], locations: ['Mumbai'], maxResults: 50, }); const { items } = await client.dataset(run.defaultDatasetId).listItems(); console.log(`Got ${items.length} OLX listings`); ``` ### How It Works The actor resolves each requested OLX location through OLX India's public location autocomplete endpoint, searches the public OLX relevance API, deduplicates listings by ID, optionally fetches the item detail endpoint, normalizes fields, redacts contact-like strings, and writes records to the Apify dataset. ### Known Limits - Phone numbers and email addresses are intentionally not exposed. `hasPhoneParam` tells you whether OLX indicates contact data exists. - OLX category names are returned when the search metadata exposes them. Otherwise `category` can be null while `categoryId` remains available. - Price filters are applied after records are fetched from OLX, so very narrow ranges may require a broader `maxResults` setting. - OLX may change or restrict its public endpoints. Use Apify Proxy for larger runs if direct requests become less reliable. - This actor is not affiliated with OLX. ### Responsible Use This Actor is intended for lawful collection of publicly available information only. Users are responsible for ensuring their use complies with the source website's terms, robots.txt, applicable privacy laws, including India's DPDP Act, and all local regulations. Do not use this Actor to collect, store, sell, or misuse personal data without a lawful basis. The Actor author is not responsible for misuse by end users. ### License Apache-2.0 # Actor input Schema ## `keywords` (type: `array`): One or more OLX search keywords. The actor searches each keyword and deduplicates listings by listing ID. ## `locations` (type: `array`): City, state, neighborhood, or India. Examples: Mumbai, Delhi, Bengaluru, Maharashtra, India. ## `categoryId` (type: `string`): Optional OLX category ID. Leave empty to search all categories. Example: 1453 for Mobile Phones. ## `minPrice` (type: `integer`): Optional minimum listing price in INR. Applied after results are fetched from OLX. ## `maxPrice` (type: `integer`): Optional maximum listing price in INR. Applied after results are fetched from OLX. ## `maxResults` (type: `integer`): Maximum number of unique listings to save. The actor supports up to 500 listings per run. ## `includeItemDetails` (type: `boolean`): Fetch each listing detail endpoint for richer fields such as valid-to date and full parameter data. Disable for faster large runs. ## `includeDescription` (type: `boolean`): Include listing descriptions with phone-like strings and emails redacted. ## `proxyConfiguration` (type: `object`): Optional proxy settings. OLX usually works without a proxy, but Apify Proxy can improve reliability for larger runs. ## Actor input object example ```json { "keywords": [ "iphone" ], "locations": [ "Mumbai" ], "maxResults": 50, "includeItemDetails": true, "includeDescription": true, "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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("fascinating_lentil/olx-india-classifieds-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 '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = {} # Run the Actor and wait for it to finish run = client.actor("fascinating_lentil/olx-india-classifieds-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{}' | apify call fascinating_lentil/olx-india-classifieds-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=fascinating_lentil/olx-india-classifieds-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "OLX India Classifieds Scraper", "description": "Scrape OLX India classifieds listings with prices, seller type, categories, locations, images, posting dates, and listing URLs. No login or API key required.", "version": "1.0", "x-build-id": "Q29xZTGSziBuqQZS5" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/fascinating_lentil~olx-india-classifieds-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-fascinating_lentil-olx-india-classifieds-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/fascinating_lentil~olx-india-classifieds-scraper/runs": { "post": { "operationId": "runs-sync-fascinating_lentil-olx-india-classifieds-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/fascinating_lentil~olx-india-classifieds-scraper/run-sync": { "post": { "operationId": "run-sync-fascinating_lentil-olx-india-classifieds-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "keywords", "maxResults" ], "properties": { "keywords": { "title": "Search keywords", "type": "array", "description": "One or more OLX search keywords. The actor searches each keyword and deduplicates listings by listing ID.", "default": [ "iphone" ], "items": { "type": "string" } }, "locations": { "title": "Locations", "type": "array", "description": "City, state, neighborhood, or India. Examples: Mumbai, Delhi, Bengaluru, Maharashtra, India.", "default": [ "Mumbai" ], "items": { "type": "string" } }, "categoryId": { "title": "Category ID", "type": "string", "description": "Optional OLX category ID. Leave empty to search all categories. Example: 1453 for Mobile Phones." }, "minPrice": { "title": "Minimum price", "minimum": 0, "type": "integer", "description": "Optional minimum listing price in INR. Applied after results are fetched from OLX." }, "maxPrice": { "title": "Maximum price", "minimum": 0, "type": "integer", "description": "Optional maximum listing price in INR. Applied after results are fetched from OLX." }, "maxResults": { "title": "Max results", "minimum": 1, "maximum": 500, "type": "integer", "description": "Maximum number of unique listings to save. The actor supports up to 500 listings per run.", "default": 50 }, "includeItemDetails": { "title": "Fetch item details", "type": "boolean", "description": "Fetch each listing detail endpoint for richer fields such as valid-to date and full parameter data. Disable for faster large runs.", "default": true }, "includeDescription": { "title": "Include description", "type": "boolean", "description": "Include listing descriptions with phone-like strings and emails redacted.", "default": true }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Optional proxy settings. OLX usually works without a proxy, but Apify Proxy can improve reliability for larger runs.", "default": { "useApifyProxy": false } } } }, "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 } } } } } } } } } } ```