# Geebo Scraper (`lexis-solutions/geebo-scraper`) Actor Geebo Scraper extracts structured job data from Geebo search and results pages, including titles, companies, locations, salaries, employment types, posting dates, and descriptions. Ideal for job market research, hiring trends, lead generation, and recruitment analytics. - **URL**: https://apify.com/lexis-solutions/geebo-scraper.md - **Developed by:** [Lexis Solutions](https://apify.com/lexis-solutions) (community) - **Categories:** Jobs, Lead generation, AI - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $1.90 / 1,000 jobs This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. 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.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 ## Geebo Scraper ![banner](https://i.imgur.com/9b7RQVO.png) Geebo (geebo.com) is a US classifieds and job listings platform. This actor collects structured job posting data from Geebo job results pages. ### Introduction The Geebo scraper starts from Geebo job result pages and collects structured job data such as title, company, location, salary, employment type, posting dates, education requirements, experience requirements, and cleaned job descriptions. ### Use Cases - **Job market research**: Track openings, salary ranges, and hiring trends across categories and locations. - **Lead generation**: Build structured datasets of job postings for staffing, outreach, or enrichment workflows. - **Competitive intelligence**: Monitor hiring activity by company, role type, and geography. - **Analytics pipelines**: Feed dashboards, internal tools, or warehousing with structured job posting data. ### Input Provide the following fields: - `startUrls` (array, required): Geebo job result page URLs. - `maxItems` (integer, required): Maximum number of results to process per start URL. - `proxyConfiguration` (object, optional): Apify proxy settings. Notes: - You can start from job browsing pages or job search result pages. - The actor collects listing data and enriches it with job details when available. - Some listings redirect to external websites or third-party job pages. For those listings, the actor stores only the data shown on the Geebo results page. - Crawling stops per source URL when `maxItems` is reached. ### Input Examples **1) Start URLs** ```json { "startUrls": [ { "url": "https://geebo.com/jobs-online/" }, { "url": "https://geebo.com/jobs-online/search/" } ], "maxItems": 10, "proxyConfiguration": { "useApifyProxy": false } } ```` ### Output Each dataset item contains fields like: ```json { "url": "https://ottumwa-ia.geebo.com/jobs-online/view/id/100077638-in-search-of-elementary-/", "title": "In search of elementary school ride in Ottumwa, IA", "category": null, "jobId": "100077638", "datePosted": "2026-04-21T00:00:00-04:00", "validThrough": "2026-04-28T23:59:59-04:00", "location": "Ottumwa, IA, US", "streetAddress": "Not Given", "city": "Ottumwa", "region": "IA", "postalCode": "52501", "country": "US", "company": "Wyndy LLC", "applicantLocationRequirements": "US", "directApply": false, "salary": "USD 20 - 28 per hour", "experience": "6 months", "duration": "1 hour", "employmentType": "FULL_TIME", "hours": null, "education": "high school, bachelor degree", "experienceInPlaceOfEducation": true, "benefits": null, "applyUrl": null, "description": "The Elementary School Ride position involves safely transporting and supervising students to and from school. This role ensures a secure and comfortable journey for students utilizing appropriate communication and behavior management techniques." } ``` The scraper continues through result pages until `maxItems` is reached per start URL or no more results are available. ### Why use the Geebo Scraper? - **Focused**: Built specifically for Geebo job result pages. - **Structured output**: Returns normalized job records ready for automation and analysis. - **Detail enrichment**: Collects richer job metadata when available. - **Per-URL limits**: `maxItems` is enforced per start URL. - **Flexible input**: Works with Geebo browsing and search result pages. ### FAQ - **How many job postings can it extract?**\ Controlled by `maxItems` per source URL. - **What pages can I start from?**\ Geebo browsing pages and search result pages. - **Does it collect detailed job information?**\ Yes. When available, the actor collects more detailed job metadata beyond the listing preview. - **What data can be extracted from detail pages?**\ The actor can extract fields such as title, company, location, salary, employment type, dates, education, experience, and cleaned description text. - **What if Geebo changes their website structure?**\ The actor may require selector or parsing updates to remain stable. ### Need to scrape other job platforms? Check out our other scrapers: - [CareerBuilder Scraper](https://apify.com/lexis-solutions/careerbuilder-com-scraper). - [Workable.com Scraper](https://apify.com/lexis-solutions/workable-com-scraper). - [Jobcase Scraper](https://apify.com/lexis-solutions/jobcase-scraper). - [TheLadders Scraper](https://apify.com/lexis-solutions/theladders-scraper). *** **Need help or want a custom solution?** Lexis Solutions is a certified Apify Partner. We can help with custom data extraction projects. Contact us over [Email](mailto:scraping@lexis.solutions) or [LinkedIn](https://www.linkedin.com/company/lexis-solutions). ### Support Our Work If you're happy with our work and scrapers, you're welcome to leave us a company review [here](https://apify.com/partners/find/lexis-solutions/review) and leave a review for the scrapers you're subscribed to. ### Image Credit Image credit: [geebo.com](https://www.geebo.com/) # Actor input Schema ## `startUrls` (type: `array`): Geebo list or search URLs to start crawling from. ## `maxItems` (type: `integer`): Maximum number of results to process per original URL. ## `proxyConfiguration` (type: `object`): Your proxy configuration from Apify. ## Actor input object example ```json { "startUrls": [ { "url": "https://geebo.com/jobs-online/list/mobile//type/1-accounting-/page/1/" } ], "maxItems": 10, "proxyConfiguration": { "useApifyProxy": true } } ``` # Actor output Schema ## `overview` (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://geebo.com/jobs-online/list/mobile//type/1-accounting-/page/1/" } ] }; // Run the Actor and wait for it to finish const run = await client.actor("lexis-solutions/geebo-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://geebo.com/jobs-online/list/mobile//type/1-accounting-/page/1/" }] } # Run the Actor and wait for it to finish run = client.actor("lexis-solutions/geebo-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://geebo.com/jobs-online/list/mobile//type/1-accounting-/page/1/" } ] }' | apify call lexis-solutions/geebo-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=lexis-solutions/geebo-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Geebo Scraper", "description": "Geebo Scraper extracts structured job data from Geebo search and results pages, including titles, companies, locations, salaries, employment types, posting dates, and descriptions. Ideal for job market research, hiring trends, lead generation, and recruitment analytics.", "version": "1.0", "x-build-id": "cm7Z54bYZ5CSwiwmx" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/lexis-solutions~geebo-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-lexis-solutions-geebo-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/lexis-solutions~geebo-scraper/runs": { "post": { "operationId": "runs-sync-lexis-solutions-geebo-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/lexis-solutions~geebo-scraper/run-sync": { "post": { "operationId": "run-sync-lexis-solutions-geebo-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "startUrls", "maxItems" ], "properties": { "startUrls": { "title": "Start URLs", "type": "array", "description": "Geebo list or search URLs to start crawling from.", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "maxItems": { "title": "Maximum number of items", "type": "integer", "description": "Maximum number of results to process per original URL.", "default": 10 }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Your proxy configuration from Apify.", "default": { "useApifyProxy": true } } } }, "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 } } } } } } } } } } ```