# Instagram Search Scraper (`easyapi/instagram-search-scraper`) Actor Search Instagram for places, profiles, hashtags, or popular reels. Extract contact details, metrics, related tags, and trending content by keyword. - **URL**: https://apify.com/easyapi/instagram-search-scraper.md - **Developed by:** [EasyApi](https://apify.com/easyapi) (community) - **Categories:** Social media, Lead generation, Integrations - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 1 bookmarks - **User rating**: No ratings yet ## Pricing from $4.99 / 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 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. 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 ## Instagram Search Scraper Search Instagram by keyword and extract structured results for **places**, **profiles**, **hashtags**, or **popular reels**. Use it to discover local businesses, find creators, research hashtag volume, and spot trending short-form content. ### ✨ Key Features - 📍 **Places**: name, category, phone, address, coordinates, hours, and recent posts - 👤 **Profiles**: username, bio, followers, verification, business info, and recent posts - #️⃣ **Hashtags**: name, post volume, related / frequent tags, and top posts - 🎬 **Popular reels**: caption, engagement, creator info, video URL, and music metadata - 🔎 Multi-keyword search in one run - 📋 Structured JSON output, streamed while the run is in progress ### 💪 Why Choose This Actor? - **Focused**: Built for Instagram discovery search, not full profile dumps - **Flexible**: Switch between places, profiles, hashtags, and popular reels - **Efficient**: Results are pushed continuously while the job runs - **Structured**: Renamed, integration-friendly field names ### 🎯 Perfect For - 🏪 Local business and location discovery - 📢 Influencer and creator prospecting - 🏷️ Hashtag research and content planning - 📈 Trend spotting via popular reels ### 📝 Input Requirements - `keywords` (required): One or more search keywords - `resultCategory` (required): `places`, `profiles`, `hashtags`, or `popularReels` - `maxResultsPerKeyword` (optional): Max results per keyword (1–250) - `useLiveSearch` (optional): Use Instagram live search - `enrichWithFacebook` (optional): Enrich top profile matches with Facebook page info #### Input Example ```json { "keywords": ["restaurant", "cafe prague"], "resultCategory": "hashtags", "maxResultsPerKeyword": 10 } ```` #### Output Example ```json { "keyword": "restaurant", "label": "restaurant", "pageUrl": "https://www.instagram.com/explore/tags/restaurant/", "mediaTotal": 12345678, "scrapedAt": "2026-07-25T08:00:00.000Z" } ``` ### 🚀 How to Use 1. Add one or more keywords 2. Choose a result category 3. Set `maxResultsPerKeyword` and click **Start** 4. Download results as JSON, CSV, Excel, or HTML ### 📌 Notes - Avoid special punctuation in keywords (e.g. `! ? # @`) - Popular reels usually return fewer matches than place / profile / hashtag search - Output fields vary by result category — unused fields are `null` # Actor input Schema ## `keywords` (type: `array`): One or more keywords to search on Instagram. Avoid special punctuation (e.g. ! ? # @). ## `resultCategory` (type: `string`): What kind of Instagram search results to return. ## `maxResultsPerKeyword` (type: `integer`): Maximum number of results to return for each keyword (up to 250). For popular reels, Instagram typically returns fewer matches. ## `useLiveSearch` (type: `boolean`): When enabled, scrape from Instagram live search. Output fields may differ slightly from standard search. ## `enrichWithFacebook` (type: `boolean`): For profile search, enrich the top results with linked Facebook page info when available. Uses more compute. ## Actor input object example ```json { "keywords": [ "restaurant" ], "resultCategory": "hashtags", "maxResultsPerKeyword": 10, "useLiveSearch": false, "enrichWithFacebook": 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 = { "keywords": [ "restaurant" ], "resultCategory": "hashtags", "maxResultsPerKeyword": 10 }; // Run the Actor and wait for it to finish const run = await client.actor("easyapi/instagram-search-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 = { "keywords": ["restaurant"], "resultCategory": "hashtags", "maxResultsPerKeyword": 10, } # Run the Actor and wait for it to finish run = client.actor("easyapi/instagram-search-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 '{ "keywords": [ "restaurant" ], "resultCategory": "hashtags", "maxResultsPerKeyword": 10 }' | apify call easyapi/instagram-search-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=easyapi/instagram-search-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Instagram Search Scraper", "description": "Search Instagram for places, profiles, hashtags, or popular reels. Extract contact details, metrics, related tags, and trending content by keyword.", "version": "0.0", "x-build-id": "dCt87fPc9uIvlgiWe" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/easyapi~instagram-search-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-easyapi-instagram-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/easyapi~instagram-search-scraper/runs": { "post": { "operationId": "runs-sync-easyapi-instagram-search-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/easyapi~instagram-search-scraper/run-sync": { "post": { "operationId": "run-sync-easyapi-instagram-search-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "keywords", "resultCategory" ], "properties": { "keywords": { "title": "Search keywords", "type": "array", "description": "One or more keywords to search on Instagram. Avoid special punctuation (e.g. ! ? # @).", "items": { "type": "string" } }, "resultCategory": { "title": "Result category", "enum": [ "places", "profiles", "hashtags", "popularReels" ], "type": "string", "description": "What kind of Instagram search results to return.", "default": "hashtags" }, "maxResultsPerKeyword": { "title": "Max results per keyword", "minimum": 1, "maximum": 250, "type": "integer", "description": "Maximum number of results to return for each keyword (up to 250). For popular reels, Instagram typically returns fewer matches.", "default": 10 }, "useLiveSearch": { "title": "Use live search", "type": "boolean", "description": "When enabled, scrape from Instagram live search. Output fields may differ slightly from standard search.", "default": false }, "enrichWithFacebook": { "title": "Enrich top profiles with Facebook page", "type": "boolean", "description": "For profile search, enrich the top results with linked Facebook page info when available. Uses more compute.", "default": 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 } } } } } } } } } } ```