# Justdial Actor (`fervent_bus/justdial-actor`) Actor Scrape JustDial.com for business listings by category and city. Extracts name, phone, address, rating, reviews, verified status, open hours & more. Covers all Indian cities and business types. Export to CSV, JSON or feed into AI pipelines. - **URL**: https://apify.com/fervent\_bus/justdial-actor.md - **Developed by:** [Archit Khurana](https://apify.com/fervent_bus) (community) - **Categories:** Automation, Developer tools, Lead generation - **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $3.00 / 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 ## JustDial Business Listings Scraper Extract structured business lead data from [JustDial.com](https://www.justdial.com) — India's largest local business directory — with no manual effort. Search by category and city to get clean, export-ready records: business name, phone number, address, rating, review count, verified status, open/closed status, years in business, and a direct profile link. --- ### What you get | Field | Type | Example | |---|---|---| | `businessName` | string | `Pind Balluchi Restaurant` | | `category` | string | `Restaurants` | | `phone` | string | `08123061405` | | `address` | string | `Sector 63 Market, Noida Sector 62` | | `locality` | string | `Noida Sector 62` | | `city` | string | `Noida` | | `rating` | float | `4.1` | | `reviewCount` | integer | `4642` | | `isVerified` | boolean | `true` | | `hasWebsite` | boolean | `false` | | `websiteUrl` | string\|null | `null` | | `profileUrl` | string | `https://www.justdial.com/Noida/Pind-Balluchi-...` | | `openNow` | boolean\|null | `false` | | `yearsInBusiness` | integer\|null | `9` | --- ### Input ```json { "searchQuery": "restaurants", "city": "Mumbai", "maxResults": 100, "scraperApiKey": "YOUR_SCRAPERAPI_KEY" } ```` | Field | Required | Default | Description | |---|---|---|---| | `searchQuery` | ✅ | — | Business type: `restaurants`, `dentists`, `plumbers`, etc. | | `city` | ✅ | — | Indian city: `Delhi`, `Mumbai`, `Bangalore`, etc. | | `maxResults` | — | `50` | Max listings to return (1–500) | | `scraperApiKey` | ✅ | — | Your [ScraperAPI](https://www.scraperapi.com/) key — required to bypass bot detection | *** ### Use cases - **Sales lead generation** — get phone numbers and addresses for cold outreach - **Market research** — map competitors by city and category - **AI pipelines** — feed structured business data directly into agents or CRMs - **Directory building** — compile local business databases for any Indian city - **Rating analysis** — track ratings and review counts across a category *** ### How it works JustDial is a Next.js app that embeds all search results as a JSON object (`__NEXT_DATA__`) in the initial HTML. This actor: 1. Routes each request through [ScraperAPI](https://www.scraperapi.com/) using premium Indian residential IPs to bypass Akamai bot detection 2. Extracts the embedded JSON — no fragile CSS selectors, no browser required 3. Maps the clean data fields to the output schema 4. Paginates automatically until `maxResults` is reached 5. Adds 1.5–3 s random delays between pages to respect rate limits Phone numbers are available directly in the JSON (no CSS decoding required). *** ### Tips - **ScraperAPI key required** — get a free key at [scraperapi.com](https://www.scraperapi.com/). Pass it as `scraperApiKey` input or set `SCRAPERAPI_KEY` as an environment variable in actor settings. - One JustDial page returns ~10 listings. For 100 results the actor fetches ~10 pages. - Results are ready to export as **CSV, JSON, or Excel** from the dataset view. - The `profileUrl` field links directly to each business's full JustDial page for deeper scraping. *** ### Output example ```json { "businessName": "Pind Balluchi Restaurant", "category": "Restaurants", "phone": "08123061405", "address": "Sector 63 Market Noida Sector 62", "locality": "Noida Sector 62", "city": "Noida", "rating": 4.1, "reviewCount": 4642, "isVerified": true, "hasWebsite": false, "websiteUrl": null, "profileUrl": "https://www.justdial.com/Noida/Pind-Balluchi-Restaurant-Sector-63-Market-Noida-Sector-62/011PXX11-XX11-170123181948-M3H8_BZDET", "openNow": false, "yearsInBusiness": 9 } ``` # Actor input Schema ## `searchQuery` (type: `string`): Business type to search, e.g. 'restaurants', 'dentists', 'plumbers'. ## `city` (type: `string`): Indian city name, e.g. 'Delhi', 'Mumbai', 'Bangalore'. ## `maxResults` (type: `integer`): Maximum number of listings to return. One JustDial page returns ~10 listings. ## `proxyConfiguration` (type: `object`): Apify proxy settings. Residential proxies recommended to avoid blocks. ## Actor input object example ```json { "searchQuery": "restaurants", "city": "Delhi", "maxResults": 50, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ``` # 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 = { "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }; // Run the Actor and wait for it to finish const run = await client.actor("fervent_bus/justdial-actor").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 = { "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], } } # Run the Actor and wait for it to finish run = client.actor("fervent_bus/justdial-actor").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 '{ "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }' | apify call fervent_bus/justdial-actor --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=fervent_bus/justdial-actor", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Justdial Actor", "description": "Scrape JustDial.com for business listings by category and city. Extracts name, phone, address, rating, reviews, verified status, open hours & more. Covers all Indian cities and business types. Export to CSV, JSON or feed into AI pipelines.", "version": "0.0", "x-build-id": "CRY7yZKZBCjJmj7gZ" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/fervent_bus~justdial-actor/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-fervent_bus-justdial-actor", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/fervent_bus~justdial-actor/runs": { "post": { "operationId": "runs-sync-fervent_bus-justdial-actor", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/fervent_bus~justdial-actor/run-sync": { "post": { "operationId": "run-sync-fervent_bus-justdial-actor", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "searchQuery", "city" ], "properties": { "searchQuery": { "title": "Search Query", "type": "string", "description": "Business type to search, e.g. 'restaurants', 'dentists', 'plumbers'.", "default": "restaurants" }, "city": { "title": "City", "type": "string", "description": "Indian city name, e.g. 'Delhi', 'Mumbai', 'Bangalore'.", "default": "Delhi" }, "maxResults": { "title": "Max Results", "minimum": 1, "maximum": 500, "type": "integer", "description": "Maximum number of listings to return. One JustDial page returns ~10 listings.", "default": 50 }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Apify proxy settings. Residential proxies recommended to avoid blocks." } } }, "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 } } } } } } } } } } ```