# InstaReach Instagram Search Scraper (`nestled_rider/instagram-search-scraper`) Actor Search Instagram for users, hashtags, places, or music by keyword. - **URL**: https://apify.com/nestled\_rider/instagram-search-scraper.md - **Developed by:** [Aggelos T](https://apify.com/nestled_rider) (community) - **Categories:** Automation, Social media - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $5.00 / 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 ## InstaReach Instagram Search Scraper Search Instagram for **users, hashtags, places, or music** by keyword. Powered by InstaReach. ### What it does Give it keywords and a search type. It returns one row per result — user profiles, hashtags (with media counts), places (with coordinates), music tracks, or a mixed "top" feed. ### Input | Field | Description | |---|---| | `queries` | Keywords to search for. | | `searchType` | `users`, `hashtags`, `places`, `music`, or `top`. | | `maxResults` | Max results per query (default 50). | | `sessionId` / `sessionSettings` / `username` + `password` | Your Instagram session (bring your own). | | `verificationCode` | 2FA code, if enabled. | | `proxyConfiguration` | Proxy settings. **Residential recommended.** | | `delayRange` | Random delay window between requests, e.g. `[1, 3]`. | A logged-in session is required. Log in once and InstaReach reuses the session on later runs. ### Output Rows are tagged with `itemType` (the search type) and the originating `query`. Failed queries produce an `error` row. ### Notes & limits - Respect Instagram's Terms of Service and applicable privacy law. - Use conservative `delayRange` values and residential proxies to reduce rate-limit/challenge risk. # Actor input Schema ## `queries` (type: `array`): Keywords to search Instagram for. ## `searchType` (type: `string`): What to search for. ## `maxResults` (type: `integer`): Maximum number of results to return per query. ## `sessionId` (type: `string`): A logged-in Instagram sessionid cookie. The quickest way to authenticate. Bring your own account. ## `sessionSettings` (type: `object`): Exported session settings JSON from a previous run. The most stable option; reused automatically across runs once you log in once. ## `username` (type: `string`): Instagram username (used only if no session ID/settings are provided). ## `password` (type: `string`): Instagram password. ## `verificationCode` (type: `string`): Current 2FA code, if the account has two-factor authentication enabled. ## `proxyConfiguration` (type: `object`): Residential proxies are strongly recommended - Instagram blocks datacenter IPs. ## `delayRange` (type: `array`): Random delay window between requests, e.g. [1, 3]. Higher values reduce ban risk. ## Actor input object example ```json { "queries": [ "travel", "nike", "coffee" ], "searchType": "users", "maxResults": 50, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] }, "delayRange": [ 1, 3 ] } ```` # Actor output Schema ## `results` (type: `string`): The users, hashtags, places, or music found. # 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 = { "queries": [ "travel" ], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] }, "delayRange": [ 1, 3 ] }; // Run the Actor and wait for it to finish const run = await client.actor("nestled_rider/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 = { "queries": ["travel"], "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], }, "delayRange": [ 1, 3, ], } # Run the Actor and wait for it to finish run = client.actor("nestled_rider/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 '{ "queries": [ "travel" ], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] }, "delayRange": [ 1, 3 ] }' | apify call nestled_rider/instagram-search-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=nestled_rider/instagram-search-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "InstaReach Instagram Search Scraper", "description": "Search Instagram for users, hashtags, places, or music by keyword.", "version": "0.0", "x-build-id": "rn7cZ2BgmzbU3I5Nh" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/nestled_rider~instagram-search-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-nestled_rider-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/nestled_rider~instagram-search-scraper/runs": { "post": { "operationId": "runs-sync-nestled_rider-instagram-search-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/nestled_rider~instagram-search-scraper/run-sync": { "post": { "operationId": "run-sync-nestled_rider-instagram-search-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "queries" ], "properties": { "queries": { "title": "Search queries", "type": "array", "description": "Keywords to search Instagram for.", "items": { "type": "string" } }, "searchType": { "title": "Search type", "enum": [ "users", "hashtags", "places", "music", "top" ], "type": "string", "description": "What to search for.", "default": "users" }, "maxResults": { "title": "Max results per query", "minimum": 1, "type": "integer", "description": "Maximum number of results to return per query.", "default": 50 }, "sessionId": { "title": "Instagram session ID", "type": "string", "description": "A logged-in Instagram sessionid cookie. The quickest way to authenticate. Bring your own account." }, "sessionSettings": { "title": "Session settings (advanced)", "type": "object", "description": "Exported session settings JSON from a previous run. The most stable option; reused automatically across runs once you log in once." }, "username": { "title": "Username", "type": "string", "description": "Instagram username (used only if no session ID/settings are provided)." }, "password": { "title": "Password", "type": "string", "description": "Instagram password." }, "verificationCode": { "title": "2FA verification code", "type": "string", "description": "Current 2FA code, if the account has two-factor authentication enabled." }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Residential proxies are strongly recommended - Instagram blocks datacenter IPs.", "default": { "useApifyProxy": true } }, "delayRange": { "title": "Delay range (seconds)", "type": "array", "description": "Random delay window between requests, e.g. [1, 3]. Higher values reduce ban risk." } } }, "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 } } } } } } } } } } ```