# Instagram Hashtag Trends API - Product & Content Research (`crocheted_poacher/instagram-commercial-opportunity-intelligence`) Actor

Analyze live Instagram hashtag posts and reels for product trends, content ideas and commercial opportunities using engagement, freshness, brand and format signals. API-ready for AI agents and automation.

- **URL**: https://apify.com/crocheted\_poacher/instagram-commercial-opportunity-intelligence.md
- **Developed by:** [Benjamin Rogers](https://apify.com/crocheted_poacher) (community)
- **Categories:** Social media, AI, Business
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $50.00 / 1,000 instagram commercial opportunities

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 Commercial Opportunity Intelligence

Turn a live Instagram hashtag into ranked commercial opportunity signals for APIs, AI agents, content systems, market research, and product discovery.

### What it does

This Actor pulls recent public Instagram hashtag posts, then ranks them using observed signals:

- engagement intensity from likes and comments
- freshness
- brand and commercial language
- mentions, tagged brands, and paid-partnership signals
- content format

It returns only posts that meet your minimum opportunity score.

### Example input

```json
{
  "hashtag": "skincare",
  "maxInsights": 10,
  "minimumOpportunityScore": 55,
  "sourcePosts": 25,
  "upstreamSpendGuardUsd": 0.3
}
```

### Output

Each paid result includes the source post, creator, observed engagement, component scores, overall opportunity score/band, a content-angle classification, and plain-language ranking evidence.

The score is a **relative commercial opportunity ranking from observed public signals**. It is not a probability, forecast, or guarantee of commercial success.

### Charging

Designed for Apify Pay Per Event:

- `instagram-opportunity` — launch price **US$0.05 per delivered ranked result**
- a result is stored using Apify's coupled dataset + PPE delivery path
- filtered rows are not charged the custom event
- upstream spend is hard-capped per run

### Source

Current V1 source: Apify's public `apify/instagram-hashtag-scraper`.

The product adds ranking and decision-support intelligence rather than reselling raw source rows.

# Actor input Schema

## `hashtag` (type: `string`):

Instagram hashtag to analyze, with or without #.

## `maxInsights` (type: `integer`):

Maximum paid opportunity rows to return.

## `minimumOpportunityScore` (type: `integer`):

Only return posts scoring at or above this threshold.

## `sourcePosts` (type: `integer`):

Raw Instagram posts to inspect before ranking. Higher values cost more.

## `upstreamSpendGuardUsd` (type: `number`):

Hard maximum USD allowed for the upstream Instagram source run.

## Actor input object example

```json
{
  "hashtag": "skincare",
  "maxInsights": 10,
  "minimumOpportunityScore": 55,
  "sourcePosts": 25,
  "upstreamSpendGuardUsd": 0.3
}
```

# Actor output Schema

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

No description

# 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("crocheted_poacher/instagram-commercial-opportunity-intelligence").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("crocheted_poacher/instagram-commercial-opportunity-intelligence").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 '{}' |
apify call crocheted_poacher/instagram-commercial-opportunity-intelligence --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,crocheted_poacher/instagram-commercial-opportunity-intelligence"
        }
    }
}
```

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/JZkVasCcPQdx1i4oe/builds/4o9ROOpX3AwwmyDGu/openapi.json