# Instagram Location Posts (`monumental_world/instagram-location-posts`) Actor

Instantly turn Instagram location posts into an Excel or CSV report. No coding required—perfect for local engagement tracking and geo-targeted content strategy development.

- **URL**: https://apify.com/monumental\_world/instagram-location-posts.md
- **Developed by:** [Raised Pro](https://apify.com/monumental_world) (community)
- **Categories:** Social media, Automation, Lead generation
- **Stats:** 6 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.50 / 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.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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

## Instagram Location Posts Export to Excel (cookieless)

### Need to download Instagram location data to Excel?

This tool helps you extract Instagram posts from specific locations and export them directly to Excel or CSV—no technical skills required. Designed for social media marketers, agencies, and business owners who need to analyze location-based engagement without logging into Instagram or writing code.

### Step-by-Step Guide

**Step 1:** Enter your Instagram location query (e.g., "California", "Central Park", "Times Square")

**Step 2:** Click "Start" to begin extracting the data (No Instagram login required—completely cookieless!)

**Step 3:** Download your results as Excel (.xlsx), CSV, or XML and open it in your favorite spreadsheet tool

### What columns will I get?

Your download will include the following columns:

- **Location ID** - Unique identifier for the location
- **Location Name** - The name of the place (e.g., "Central Park")
- **Location City** - City where the location is situated
- **Location Country** - Country of the location
- **Total Posts Count** - Total number of posts tagged at this location
- **Recent Posts Last 24h** - Number of posts from the past 24 hours
- **Average Likes Per Post** - Average engagement per post at this location
- **Most Used Hashtag** - The most popular hashtag used at this location
- **Check-in Count** - Total number of check-ins at this location
- **Business Category** - Type of location (e.g., Restaurant, Park, Hotel)
- **Latitude** - Geographic latitude coordinate
- **Longitude** - Geographic longitude coordinate

### How to use this data

Here are three simple ways to put your Instagram location data to work:

**1. Analyze local engagement trends** - Compare average likes and post frequency across different locations to identify high-performing areas for your campaigns

**2. Develop geo-targeted content strategies** - Use the most popular hashtags and recent post counts to create content that resonates with specific local audiences

**3. Build location-based marketing reports** - Export data for multiple locations and create client-ready reports showing engagement patterns, check-in activity, and trending content by geography

### Input Settings

**Location Query**: Enter any valid Instagram location name you want to analyze. This can be a city, landmark, business, or any place that has Instagram posts tagged to it.

Examples:

- "California"
- "Eiffel Tower"
- "Miami Beach"
- "Tokyo"

Simply type the location name exactly as it appears on Instagram, and the tool will find and extract all available data for that location.

### Frequently Asked Questions

**Q: Do I need an Instagram account?**

No! This tool works completely cookieless, meaning you don't need to log in or provide any Instagram credentials.

**Q: Can I open this in Google Sheets?**

Yes! Just upload the CSV file to Google Sheets, and all your data will import perfectly. You can also open the Excel file directly in Google Sheets.

**Q: How current is the data?**

The tool pulls the most recent publicly available data from Instagram, including posts from the last 24 hours.

**Q: What format should I use?**

Excel (.xlsx) is great for analysis and charts. CSV works perfectly for Google Sheets or importing into other tools. Choose whichever format fits your workflow!

***

*Keywords: instagram scraper, instagram location posts, export instagram posts, scrape instagram by location, instagram data extraction, lead generation instagram, location-based instagram data*

# Actor input Schema

## `locationQuery` (type: `string`):

Instagram location query. Must a be a valid location name.

## `maxPages` (type: `integer`):

Maximum number of pages to fetch (pagination handled automatically)

## Actor input object example

```json
{
  "locationQuery": "New York",
  "maxPages": 1
}
```

# 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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("monumental_world/instagram-location-posts").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 = {}

# Run the Actor and wait for it to finish
run = client.actor("monumental_world/instagram-location-posts").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 monumental_world/instagram-location-posts --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=monumental_world/instagram-location-posts",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/9SgwkWlYcW5azT5il/builds/igC1YhKJMZ4xJfEqJ/openapi.json