# Stack Overflow Scraper (`supermiojo/stackoverflow-scraper`) Actor

Search Stack Overflow for questions, answers, tags, and developer discussions. Get post details, vote counts, answer stats, and user reputation. No API key required — uses Stack Overflow's public pages.

- **URL**: https://apify.com/supermiojo/stackoverflow-scraper.md
- **Developed by:** [Igor Araujo](https://apify.com/supermiojo) (community)
- **Categories:** AI, Developer tools, Automation
- **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.00 / 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/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

## Stack Overflow Scraper

Search Stack Overflow and extract question data, tags, and answers — **no API key required**.

### Features

- Search by tag or full-text query
- Extract question titles, URLs, vote counts, and answer stats
- Get tags, excerpts, timestamps, and author reputation
- Optional top answer extraction per question
- Sort by relevance, votes, newest, or activity
- Filter by minimum vote count

### Input

- `searchQueries`: List of search terms (tags or keywords)
- `maxResults`: Max questions per query (default: 20)
- `sortBy`: Sort order (relevance/votes/newest/activity)
- `minVotes`: Minimum vote filter (default: 0)
- `includeAnswers`: Fetch top answer for each question (default: false)

### Output

Each result has a `results` array with question details: title, URL, votes, answer count, tags, excerpt, author info, and optionally the top answer body.

### Use Cases

- Developer trend research
- Technology adoption analysis
- Competitor content gap analysis
- Recruiting and talent scouting
- Content idea generation

# Actor input Schema

## `searchQueries` (type: `array`):

List of search queries to run on Stack Overflow (e.g., \['python async', 'react hooks']).

## `maxResults` (type: `integer`):

Maximum number of questions to return per query (default: 20).

## `sortBy` (type: `string`):

How to sort results: relevance, votes, newest, or activity.

## `minVotes` (type: `integer`):

Only include questions with at least this many votes (default: 0).

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

Fetch the top/accepted answer for each question (makes 1 extra request per question).

## Actor input object example

```json
{
  "searchQueries": [
    "python async",
    "react hooks",
    "docker compose"
  ],
  "maxResults": 20,
  "sortBy": "relevance",
  "minVotes": 0,
  "includeAnswers": false
}
```

# 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 = {
    "searchQueries": [
        "python async",
        "react hooks",
        "docker compose"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("supermiojo/stackoverflow-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 = { "searchQueries": [
        "python async",
        "react hooks",
        "docker compose",
    ] }

# Run the Actor and wait for it to finish
run = client.actor("supermiojo/stackoverflow-scraper").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 '{
  "searchQueries": [
    "python async",
    "react hooks",
    "docker compose"
  ]
}' |
apify call supermiojo/stackoverflow-scraper --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/alPYLcpzCJpbFvvxj/builds/MMUnvHyBcL4ITEbb5/openapi.json