Stack Overflow Questions Scraper

Scrape Stack Overflow questions by programming tag. This actor collects question titles, vote counts, answer counts, view counts, author names, accepted answer status, and associated tags from Stack Overflow question listings.

What does Stack Overflow Questions Scraper do?

This scraper automates the collection of questions from Stack Overflow organized by tag. By providing tags like "python", "javascript", or "react", you can gather structured data about the most popular or recent questions in any technology area. Ideal for developer knowledge mining, technology trend analysis, content creation research, and identifying common programming challenges.

Features

• Search by multiple Stack Overflow tags simultaneously
• Sort results by votes, newest, or activity
• Extract question titles and direct URLs
• Capture vote counts, answer counts, and view metrics
• Identify questions with accepted answers
• Collect all associated tags for each question
• Automatic pagination up to 10 pages per tag
• Configurable maximum result limits

Input Configuration

Field	Type	Description	Default
tags	String List	Stack Overflow tags to scrape	["python", "javascript"]
sort	Select	Sort order: votes, newest, or active	"votes"
maxResults	Integer	Maximum questions to extract	500

Output Data

Each question in the dataset includes:

Field	Description
tag	The Stack Overflow tag searched
title	Question title text
votes	Number of upvotes/downvotes
answers	Number of answers posted
views	Number of times viewed
questionUrl	Direct link to the question
author	Username of the question author
hasAcceptedAnswer	Whether the question has an accepted answer
tags	All tags associated with the question
scrapedAt	Timestamp when data was collected

Usage Tips

Use official Stack Overflow tag names as they appear on the site. Popular tags include language names (python, javascript, java), frameworks (react, django, angular), and concepts (machine-learning, api, database). Sorting by "votes" returns the most popular questions of all time, while "newest" gives you the latest questions.

Integrations

Connect this actor with Google Sheets, Airtable, Slack, or any other platform using webhooks or the Apify API. Export scraped question data in JSON, CSV, XML, or Excel format directly from the Apify Console for analysis.

Cost Estimation

Running the actor with default settings (500 questions across 2 tags) typically consumes about 0.1-0.3 compute units. The lightweight Cheerio-based crawler efficiently parses HTML pages without browser overhead, keeping costs minimal.

Built with Crawlee and the Apify SDK. See more scrapers by consummate_mandala on Apify Store.