# Instagram Hashtag Research Scraper (`seemuapps/instagram-hashtag-research-scraper`) Actor

Find related Instagram hashtags for any keyword with post counts and popularity ranks — perfect for hashtag research and content planning.

- **URL**: https://apify.com/seemuapps/instagram-hashtag-research-scraper.md
- **Developed by:** [Seemu Scraping](https://apify.com/seemuapps) (community)
- **Categories:** Social media, AI, Developer tools
- **Stats:** 7 total users, 3 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.50 / 1,000 hashtag 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/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## Instagram Hashtag Research Scraper

Turn any keyword into a ranked list of related Instagram hashtags with real post counts - no login required. Find the hashtags your audience actually uses before you hit publish.

### What you get

For every keyword you enter, the scraper returns the matching Instagram hashtags with:

- **Hashtag name** and a direct link to its Instagram explore page
- **Post count** (`mediaCount`) - the total number of posts using the hashtag
- **Formatted post count** (e.g. `174M`, `1.9M`, `921K`) for quick scanning
- **Rank** - the hashtag's position in Instagram's own search results for your keyword
- **Hashtag ID** for joining with other datasets
- Export to JSON, CSV, Excel, or Google Sheets directly from the Apify console

### Use cases

- **Hashtag research** - build hashtag sets for upcoming posts with a mix of high-volume and niche tags
- **Content planning** - discover what topics and tag variations exist around your niche before creating content
- **Reach optimization** - balance mega-hashtags (millions of posts) against low-competition long-tail tags to maximize discoverability
- **Competitor hashtag analysis** - research the keyword spaces your competitors post into and find gaps they've missed
- **Campaign tracking setup** - identify every variant of a branded hashtag before launching a campaign

### How to use

1. Enter one or more **Keywords** (one per line), e.g. `fitness`, `vegan recipes`
2. Optionally set **Max Items** to cap the total number of hashtags returned (0 = unlimited)
3. Run the actor - results appear in the **Dataset** tab, one hashtag per row
4. Export the dataset as CSV or Google Sheets for your content calendar

### Output format

Each dataset record:

```json
{
  "keyword": "fitness",
  "hashtagId": "17843691415043401",
  "name": "fitnessmotivation",
  "url": "https://www.instagram.com/explore/tags/fitnessmotivation/",
  "mediaCount": 174098560,
  "formattedMediaCount": "174M",
  "rank": 1
}
```

# Actor input Schema

## `keywords` (type: `array`):

Search keywords to find related Instagram hashtags for - one keyword per line. Each keyword returns its own set of matching hashtags with post counts.

## `maxItems` (type: `integer`):

Maximum total number of hashtag records to return across all keywords. Set 0 for unlimited.

## Actor input object example

```json
{
  "keywords": [
    "fitness"
  ],
  "maxItems": 0
}
```

# Actor output Schema

## `results` (type: `string`):

One record per hashtag: keyword, hashtagId, name, url, mediaCount (total posts), formattedMediaCount (e.g. 174M), and rank (position in that keyword's results).

# 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 = {
    "keywords": [
        "fitness"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("seemuapps/instagram-hashtag-research-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 = { "keywords": ["fitness"] }

# Run the Actor and wait for it to finish
run = client.actor("seemuapps/instagram-hashtag-research-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).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": [
    "fitness"
  ]
}' |
apify call seemuapps/instagram-hashtag-research-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,seemuapps/instagram-hashtag-research-scraper"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/SqfN2Tj4J7uPrZHLN/builds/elYYQ1eypuILhQASf/openapi.json