# Stackoverflow Scraper (`fatihai-tools/stackoverflow-scraper`) Actor Scrape and extract data from Stackoverflow Scraper. Fast, reliable and easy to use. - **URL**: https://apify.com/fatihai-tools/stackoverflow-scraper.md - **Developed by:** [fatih dağüstü](https://apify.com/fatihai-tools) (community) - **Categories:** Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN 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/platform/actors/running/actors-in-store#pay-per-usage ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. 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. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use 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 Scrape Stack Overflow questions, answers, and code snippets. Search by keyword, filter by tag, get top voted questions, and extract full answers. ### Features - **Search** — Find questions by keyword - **Filter by Tag** — Get questions for any technology (python, javascript, react, etc.) - **Top Questions** — All-time most voted questions - **Full Details** — Questions with all answers, code, and votes ### Input | Field | Type | Description | |-------|------|-------------| | `scrapeType` | string | `search`, `questions_by_tag`, `top_questions`, `question_details` | | `searchQuery` | string | Search term | | `tag` | string | SO tag (e.g., python, javascript) | | `questionIds` | array | Question IDs for detailed extraction | | `sortBy` | string | `relevance`, `votes`, `creation`, `activity` | | `maxItems` | number | Maximum results (default: 50) | ### Output Example ```json { "type": "question", "questionId": 11227809, "title": "Why is processing a sorted array faster than an unsorted array?", "link": "https://stackoverflow.com/questions/11227809/...", "score": 27520, "viewCount": 1973753, "answerCount": 26, "isAnswered": true, "tags": ["java", "c++", "performance", "branch-prediction"], "body": "

In this C++ code..." } ```` ### Use Cases - **Developer Tools** — Build Q\&A search engines - **Code Snippets** — Extract solutions for common problems - **Trend Analysis** — Track popular technologies and problems - **Training Data** — Build datasets for code AI models - **Documentation** — Compile FAQ databases ### Cost Uses Pay Per Event pricing. Each scraped question or answer counts as one result. # Actor input Schema ## `scrapeType` (type: `string`): Choose what to extract from Stack Overflow. ## `searchQuery` (type: `string`): Search term to find questions. ## `tag` (type: `string`): Stack Overflow tag to filter by (e.g., python, javascript, react). ## `questionIds` (type: `array`): Stack Overflow question IDs to get full details with answers. ## `sortBy` (type: `string`): How to sort results. ## `maxItems` (type: `integer`): Maximum number of questions to scrape. ## Actor input object example ```json { "scrapeType": "search", "sortBy": "votes", "maxItems": 50 } ``` # 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 '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "scrapeType": "search", "maxItems": 50 }; // Run the Actor and wait for it to finish const run = await client.actor("fatihai-tools/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 '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "scrapeType": "search", "maxItems": 50, } # Run the Actor and wait for it to finish run = client.actor("fatihai-tools/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 '{ "scrapeType": "search", "maxItems": 50 }' | apify call fatihai-tools/stackoverflow-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=fatihai-tools/stackoverflow-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Stackoverflow Scraper", "description": "Scrape and extract data from Stackoverflow Scraper. Fast, reliable and easy to use.", "version": "1.0", "x-build-id": "y1wJzCgMlaTbDtfmt" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/fatihai-tools~stackoverflow-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-fatihai-tools-stackoverflow-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/fatihai-tools~stackoverflow-scraper/runs": { "post": { "operationId": "runs-sync-fatihai-tools-stackoverflow-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/fatihai-tools~stackoverflow-scraper/run-sync": { "post": { "operationId": "run-sync-fatihai-tools-stackoverflow-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "required": [ "scrapeType" ], "properties": { "scrapeType": { "title": "What to Scrape", "enum": [ "search", "questions_by_tag", "top_questions", "question_details" ], "type": "string", "description": "Choose what to extract from Stack Overflow.", "default": "search" }, "searchQuery": { "title": "Search Query", "type": "string", "description": "Search term to find questions." }, "tag": { "title": "Tag", "type": "string", "description": "Stack Overflow tag to filter by (e.g., python, javascript, react)." }, "questionIds": { "title": "Question IDs", "type": "array", "description": "Stack Overflow question IDs to get full details with answers.", "items": { "type": "string" } }, "sortBy": { "title": "Sort By", "enum": [ "relevance", "votes", "creation", "activity" ], "type": "string", "description": "How to sort results.", "default": "votes" }, "maxItems": { "title": "Maximum Results", "minimum": 1, "maximum": 500, "type": "integer", "description": "Maximum number of questions to scrape.", "default": 50 } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```