# Stack Exchange AI Dataset — Code, Math & Reasoning RLHF (`axery/stackexchange-ai-dataset-scraper`) Actor

Extract high-quality Q\&A pairs with accepted answers, scores, and markdown bodies across Stack Overflow, Math, and 170+ communities for RLHF and LLM training.

- **URL**: https://apify.com/axery/stackexchange-ai-dataset-scraper.md
- **Developed by:** [Axery](https://apify.com/axery) (community)
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.00 / 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/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

## Stack Exchange AI Dataset Scraper

Extract high-quality reasoning, programming, and mathematical Question & Answer pairs across [Stack Exchange](https://stackexchange.com) communities — tailored specifically for **LLM fine-tuning, SFT (Supervised Fine-Tuning), DPO, and RLHF reward modeling**.

**Pure HTTP via Stack Exchange REST API. No browser overhead. Fast, clean, and reliable.**

***

### ⚡ What makes this different for AI builders

| | Generic Scraping | What this Actor gives you |
|---|---|---|
| **RLHF Signal** | Unranked text blobs | Direct pairing of `question` + `acceptedAnswer` + `topAlternativeAnswers` with exact scores for preference optimization |
| **Clean Formatting** | Tangled HTML with scripts | Clean code blocks (`` `code` `` and ` ``` ` blocks) and clean plain text |
| **Quality Filter** | Scrapes low-effort/spam questions | Configurable `minScore` and `acceptedOnly` to extract only golden, human-vetted knowledge |
| **Multi-Domain** | Just Stack Overflow | Supports **170+ communities**: Math, Cross Validated (Statistics), Server Fault (DevOps), Physics, Ask Ubuntu |

***

### 📥 Input Parameters

```json
{
  "site": "stackoverflow",
  "tagged": "python;pandas",
  "minScore": 5,
  "acceptedOnly": true,
  "maxItems": 50
}
```

| Field | Type | Default | Description |
|---|---|---|---|
| `site` | string | `stackoverflow` | `stackoverflow`, `math`, `stats`, `superuser`, `serverfault`, `askubuntu`, `ai`, `physics`, etc. |
| `tagged` | string | `python` | Filter by tags (e.g. `machine-learning`, `calculus`, `docker`). |
| `intitle` | string | `null` | Optional keyword search in title. |
| `minScore` | integer | `3` | Minimum net upvotes. Filters out noise. |
| `acceptedOnly` | boolean | `true` | Only return questions with a verified accepted answer (RLHF gold standard). |
| `includeAnswers` | boolean | `true` | Fetch and pair full accepted answer and alternative answers. |
| `sort` | string | `votes` | `votes` (highest quality first), `activity`, or `creation`. |
| `maxItems` | integer | `50` | Maximum Q\&A pairs to extract. |

***

### 📤 Output Structure

Each record is an instruction-tuning ready pair:

```json
{
  "questionId": 231767,
  "site": "stackoverflow",
  "title": "What does the \"yield\" keyword do in Python?",
  "bodyText": "What functionality does the yield keyword provide in Python?...",
  "score": 13135,
  "tags": ["python", "iterator", "generator", "yield"],
  "isAnswered": true,
  "hasAcceptedAnswer": true,
  "acceptedAnswerId": 231855,
  "acceptedAnswer": {
    "answerId": 231855,
    "isAccepted": true,
    "score": 18318,
    "bodyText": "To understand what yield does, you must understand what generators are...",
    "creationDate": "2008-10-23T22:21:11+00:00",
    "author": "e-satis"
  },
  "topAlternativeAnswers": [
    {
      "answerId": 231835,
      "score": 4200,
      "bodyText": "Think of it like a return statement, but instead of exiting the function..."
    }
  ],
  "url": "https://stackoverflow.com/questions/231767",
  "creationDate": "2008-10-23T22:13:40+00:00"
}
```

# Actor input Schema

## `site` (type: `string`):

Choose a specialized community (e.g. stackoverflow, math, stats, superuser, serverfault, physics, ai).

## `tagged` (type: `string`):

Filter by tags (e.g. 'python;pandas', 'calculus', 'docker', 'machine-learning').

## `intitle` (type: `string`):

Optional keyword search in question titles.

## `minScore` (type: `integer`):

Filter out low-quality questions. Only scrape questions with at least this many upvotes.

## `acceptedOnly` (type: `boolean`):

Only return questions that have a verified accepted answer. Essential for high-quality instruction tuning.

## `includeAnswers` (type: `boolean`):

Fetch and pair the accepted answer and top alternative answers with full text.

## `sort` (type: `string`):

Sort questions by votes, activity, or creation date.

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

Maximum number of Q\&A pairs to extract.

## `proxyConfiguration` (type: `object`):

Optional proxy settings.

## Actor input object example

```json
{
  "site": "stackoverflow",
  "tagged": "python",
  "minScore": 3,
  "acceptedOnly": true,
  "includeAnswers": true,
  "sort": "votes",
  "maxItems": 50
}
```

# Actor output Schema

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

Dataset containing output records.

# 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 = {
    "tagged": "python"
};

// Run the Actor and wait for it to finish
const run = await client.actor("axery/stackexchange-ai-dataset-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 = { "tagged": "python" }

# Run the Actor and wait for it to finish
run = client.actor("axery/stackexchange-ai-dataset-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 '{
  "tagged": "python"
}' |
apify call axery/stackexchange-ai-dataset-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,axery/stackexchange-ai-dataset-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/hS0YWhyXMX0K6yLlU/builds/CQvBQHs3pFqTeFIxK/openapi.json