# Decatur Product Detail Scraper (`getdataforme/decatur-product-detail-mp-scraper`) Actor The Decatur Product Detail Scraper efficiently extracts detailed product information from Craigslist listings in Decatur, capturing titles, prices, descriptions, and images.... - **URL**: https://apify.com/getdataforme/decatur-product-detail-mp-scraper.md - **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community) - **Categories:** AI, Automation, E-commerce - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $9.00 / 1,000 results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 ## README.md ### Decatur Product Detail Scraper #### Introduction The **Decatur Product Detail Scraper** is an advanced web scraping tool designed to extract detailed product information from Craigslist listings in the Decatur area. This actor efficiently gathers data such as titles, prices, descriptions, and images, providing valuable insights for market research, competitive analysis, and business intelligence. #### Features - **Comprehensive Data Extraction**: Captures essential details including price, location, description, and images. - **High-Quality Data**: Ensures reliable and accurate information retrieval from Craigslist listings. - **User-Friendly Setup**: Simple configuration with pre-filled start URLs for quick deployment. - **Flexible Output Formats**: Supports multiple export formats like JSON, CSV, and Excel. - **Geolocation Support**: Includes latitude and longitude data for spatial analysis. #### Input Parameters Table | Parameter | Type | Required | Description | Example | |-------------|---------|----------|--------------------------------------------------|-------------------------------------------------------------------------| | startUrls | array | Yes | URLs to start with. | `[{"url": "https://decatur.craigslist.org/grd/d/mc-cool-junction-100-angus-black-baldy/7929163309.html"}]` | #### Example Usage ##### Input JSON ```json { "startUrls": [ { "url": "https://decatur.craigslist.org/grd/d/mc-cool-junction-100-angus-black-baldy/7929163309.html" } ] } ```` ##### Output JSON ```json [ { "url": "https://decatur.craigslist.org/grd/d/mc-cool-junction-100-angus-black-baldy/7929163309.html", "title": "100 Angus, Black Baldy Open Replacement Heifers", "price": "$3,500", "currency": "USD", "location": "McCool Junction", "description": "Black open replacement heifers. Available for contract as AI exposed starting May 10th, 2026. Will sell any quantity.750lb average. Located near McCool Junction, NE Call Dustin at Four Zero Two-...", "images": [ "https://images.craigslist.org/00W0W_8Ny5mn9EsCG_0x20oM_600x450.jpg" ], "postId": "7929163309", "postedAt": "2026-04-21T09:03:12-0500", "updatedAt": "2026-06-24T16:48:09-0500", "condition": "", "manufacturer": "", "size": "", "latitude": 40.7442, "longitude": -97.5937 } ] ``` #### Use Cases - **Market Research and Analysis**: Gain insights into product trends and pricing strategies. - **Competitive Intelligence**: Monitor competitor listings for strategic planning. - **Price Monitoring**: Track price changes over time to identify market fluctuations. - **Content Aggregation**: Compile data from multiple sources for comprehensive reports. - **Academic Research**: Support studies in economics, marketing, or regional development. - **Business Automation**: Automate data collection processes for efficiency. #### Installation and Usage 1. Search for "Decatur Product Detail Scraper" in the Apify Store. 2. Click "Try for free" or "Run". 3. Configure input parameters with your desired start URLs. 4. Click "Start" to begin extraction. 5. Monitor progress in the log. 6. Export results in your preferred format (JSON, CSV, Excel). #### Output Format The output is a JSON array containing objects with the following fields: - `url`: The URL of the Craigslist listing. - `title`: Title of the product. - `price`: Price of the product. - `currency`: Currency used for pricing. - `location`: Location where the product is available. - `description`: Detailed description of the product. - `images`: Array of image URLs associated with the listing. - `postId`: Unique identifier for the Craigslist post. - `postedAt`: Date and time when the post was created. - `updatedAt`: Date and time when the post was last updated. - `condition`, `manufacturer`, `size`: Additional product details (if available). - `latitude` and `longitude`: Geolocation data of the listing. #### Support For custom/simplified outputs or bug reports, please contact: - Email: support@getdataforme.com - Subject line: "custom support" - Contact form: [Get Data For Me](https://getdataforme.com/contact/) We're here to help you get the most out of this Actor! *** ## Description Unlock valuable insights with the **Decatur Product Detail Scraper**. Extract comprehensive product data from Craigslist listings, including prices, descriptions, and images. Ideal for market research, competitive analysis, and business automation. Start scraping today and transform your data strategy! # Actor input Schema ## `startUrls` (type: `array`): URLs to start with. ## Actor input object example ```json { "startUrls": [ { "url": "https://decatur.craigslist.org/grd/d/mc-cool-junction-100-angus-black-baldy/7929163309.html" } ] } ``` # 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 '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "startUrls": [ { "url": "https://decatur.craigslist.org/grd/d/mc-cool-junction-100-angus-black-baldy/7929163309.html" } ] }; // Run the Actor and wait for it to finish const run = await client.actor("getdataforme/decatur-product-detail-mp-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 = { "startUrls": [{ "url": "https://decatur.craigslist.org/grd/d/mc-cool-junction-100-angus-black-baldy/7929163309.html" }] } # Run the Actor and wait for it to finish run = client.actor("getdataforme/decatur-product-detail-mp-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 '{ "startUrls": [ { "url": "https://decatur.craigslist.org/grd/d/mc-cool-junction-100-angus-black-baldy/7929163309.html" } ] }' | apify call getdataforme/decatur-product-detail-mp-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getdataforme/decatur-product-detail-mp-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Decatur Product Detail Scraper", "description": "The Decatur Product Detail Scraper efficiently extracts detailed product information from Craigslist listings in Decatur, capturing titles, prices, descriptions, and images....", "version": "0.0", "x-build-id": "MmVr3IH5l9Y67GmqV" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/getdataforme~decatur-product-detail-mp-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-getdataforme-decatur-product-detail-mp-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/getdataforme~decatur-product-detail-mp-scraper/runs": { "post": { "operationId": "runs-sync-getdataforme-decatur-product-detail-mp-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/getdataforme~decatur-product-detail-mp-scraper/run-sync": { "post": { "operationId": "run-sync-getdataforme-decatur-product-detail-mp-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "startUrls": { "title": "Start URLs", "type": "array", "description": "URLs to start with.", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } } } }, "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 } } } } } } } } } } ```