# 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 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.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — 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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# 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 <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/QmVC6V7ha9TUPQWAW/builds/rn7cZ2BgmzbU3I5Nh/openapi.json