# Developer Sentiment & Trend Scraper (`winsome_xyster/my-actor-2`) Actor

Extract organic keyword velocity and tool sentiment trends from Reddit developer communities.

- **URL**: https://apify.com/winsome\_xyster/my-actor-2.md
- **Developed by:** [Abdul Rahman](https://apify.com/winsome_xyster) (community)
- **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

Pay per usage

This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-usage

## 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

## Developer Sentiment & Trend Scraper

Stop guessing which AI tools and Python frameworks are gaining traction. This Actor extracts organic keyword velocity and sentiment trends directly from highly active developer communities on Reddit before they hit mainstream tech blogs.

### Why use this scraper?

- **Investors & VCs:** Spot rising star frameworks (like LangChain or Crawlee) organically mentioned by engineers.
- **B2B Marketers:** Understand what tools developers are actively discussing to target your dev-tool integrations.
- **Content Creators:** Catch early technical trends to write high-ranking tutorials before the keyword competition saturates.

### Input Configuration

The Actor is designed to be highly targeted. You configure exactly what to track:

- **Target Tech Stack (`keywords`):** Provide a list of libraries, models, or languages (e.g., `langchain`, `llama3`, `fastapi`).
- **Subreddits (`subreddits`):** Choose the specific communities to monitor (e.g., `MachineLearning`, `Python`, `LocalLLaMA`). Note: Do not include the "r/" prefix.
- **Max Posts (`maxPosts`):** Define the scrape depth per subreddit to control your output volume.

### Output Structure

The scraper delivers clean, absolute URLs and perfectly mapped keyword arrays ready for your database or BI dashboard.

````json
{
  "title": "Anyone else dropping Langchain for direct API calls?",
  "url": "[https://old.reddit.com/r/MachineLearning/comments/xyz/](https://old.reddit.com/r/MachineLearning/comments/xyz/)...",
  "matched_keywords": ["langchain"],
  "source": "[https://old.reddit.com/r/MachineLearning/new/](https://old.reddit.com/r/MachineLearning/new/)"
}

# Actor input Schema

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

The AI tools or Python frameworks to track (e.g., langchain, ollama).
## `subreddits` (type: `array`):

List of Reddit communities to scrape without the 'r/' prefix.
## `maxPosts` (type: `integer`):

The maximum number of posts to scrape per subreddit.

## Actor input object example

```json
{
  "keywords": [
    "langchain",
    "crawlee",
    "ollama"
  ],
  "subreddits": [
    "Python",
    "MachineLearning",
    "LocalLLaMA"
  ],
  "maxPosts": 100
}
````

# 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("winsome_xyster/my-actor-2").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("winsome_xyster/my-actor-2").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 winsome_xyster/my-actor-2 --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,winsome_xyster/my-actor-2"
        }
    }
}
```

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/uu6IRMBelTqpt4V5M/builds/eJhYJ2zyVpOBPrtM0/openapi.json