# India Construction Material Prices (`mai_amm/india-construction-material-prices`) Actor Scrape and normalize India construction material prices across cement, steel, sand, aggregates, concrete, bricks, tiles, paints, plywood, plumbing, electrical, waterproofing, and labour categories. - **URL**: https://apify.com/mai\_amm/india-construction-material-prices.md - **Developed by:** [wiseld\_squid](https://apify.com/mai_amm) (community) - **Categories:** E-commerce, Real estate, Lead generation - **Stats:** 3 total users, 2 monthly users, 100.0% runs succeeded, 1 bookmarks - **User rating**: No ratings yet ## Pricing from $1.00 / 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/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 ## India Construction Material Prices Scrape and normalize India construction material price rows across core building-material categories. ### What This Actor Does This Actor monitors public construction-material price pages and returns normalized rows for: - cement - TMT steel and rebar - sand and aggregates - ready-mix concrete - bricks and blocks - tiles and flooring - paints and finishes - wood and plywood - plumbing pipes and fittings - electrical wires and fixtures - interiors and glass - waterproofing - labour rates ### Example Input ```json { "maxResults": 300, "includeAllMaterials": true, "cities": [], "categories": [] } ```` Set `maxResults` to the number of dataset rows you want, for example `300` for a smaller run or `1000` for a larger run. Free-plan runs are capped at 100 price rows. Paid runs can use `maxResults` up to the Actor limit. ### Output Each dataset row is one material price observation: ```json { "row_type": "material_price", "country": "India", "city": "Delhi", "category": "cement", "material": "OPC 53 Grade Cement", "price": 420, "currency": "INR", "unit": "per 50kg bag", "source_name": "infralens.in" } ``` ### Notes - Prices can be retail, dealer, quote, or index-style references depending on source. - City-wise construction prices vary due to transport, dealer margin, brand, and availability. - This Actor provides procurement intelligence signals, not guaranteed executable purchase quotes. # Actor input Schema ## `maxResults` (type: `integer`): How many material price rows to save to the default dataset. Set 300 for a 300-row run, 1000 for a larger run, or any value up to 5000. ## `includeAllMaterials` (type: `boolean`): When enabled, the Actor returns every supported construction material category it can parse. ## `categories` (type: `array`): Optional category filters such as cement, steel, plumbing, electrical, tiles\_flooring, labour. ## `cities` (type: `array`): Optional city filters such as Delhi, Mumbai, Bengaluru, Chennai, Hyderabad, Pune, Kolkata. ## `outputMode` (type: `string`): Choose whether to output individual normalized price rows or a single summary row. ## `sourceUrls` (type: `array`): Public source pages to parse. Use HTTPS URLs only. ## `maxPages` (type: `integer`): Maximum source pages to fetch while discovering category and city price pages. ## Actor input object example ```json { "maxResults": 300, "includeAllMaterials": true, "categories": [], "cities": [], "outputMode": "prices", "sourceUrls": [ "https://infralens.in/prices", "https://www.gobuildbazaar.com/", "https://www.buildours.com/" ], "maxPages": 300 } ``` # Actor output Schema ## `prices` (type: `string`): No description ## `output` (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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("mai_amm/india-construction-material-prices").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("mai_amm/india-construction-material-prices").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 mai_amm/india-construction-material-prices --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=mai_amm/india-construction-material-prices", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "India Construction Material Prices", "description": "Scrape and normalize India construction material prices across cement, steel, sand, aggregates, concrete, bricks, tiles, paints, plywood, plumbing, electrical, waterproofing, and labour categories.", "version": "1.0", "x-build-id": "kvBGZuP8gob3FXh4o" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/mai_amm~india-construction-material-prices/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-mai_amm-india-construction-material-prices", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/mai_amm~india-construction-material-prices/runs": { "post": { "operationId": "runs-sync-mai_amm-india-construction-material-prices", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/mai_amm~india-construction-material-prices/run-sync": { "post": { "operationId": "run-sync-mai_amm-india-construction-material-prices", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "maxResults": { "title": "Number of price rows", "minimum": 1, "maximum": 5000, "type": "integer", "description": "How many material price rows to save to the default dataset. Set 300 for a 300-row run, 1000 for a larger run, or any value up to 5000.", "default": 300 }, "includeAllMaterials": { "title": "Include all materials", "type": "boolean", "description": "When enabled, the Actor returns every supported construction material category it can parse.", "default": true }, "categories": { "title": "Categories", "type": "array", "description": "Optional category filters such as cement, steel, plumbing, electrical, tiles_flooring, labour.", "default": [], "items": { "type": "string" } }, "cities": { "title": "Cities", "type": "array", "description": "Optional city filters such as Delhi, Mumbai, Bengaluru, Chennai, Hyderabad, Pune, Kolkata.", "default": [], "items": { "type": "string" } }, "outputMode": { "title": "Output mode", "enum": [ "prices", "summary" ], "type": "string", "description": "Choose whether to output individual normalized price rows or a single summary row.", "default": "prices" }, "sourceUrls": { "title": "Source URLs", "type": "array", "description": "Public source pages to parse. Use HTTPS URLs only.", "default": [ "https://infralens.in/prices", "https://www.gobuildbazaar.com/", "https://www.buildours.com/" ], "items": { "type": "string" } }, "maxPages": { "title": "Max pages to crawl", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Maximum source pages to fetch while discovering category and city price pages.", "default": 300 } } }, "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 } } } } } } } } } } ```