# Landing.jobs Scraper (`unfenced-group/landing-jobs-scraper`) Actor Extract tech job listings from Landing.jobs. Filter by keyword, country, remote, contract type and salary. Full descriptions, requirements and perks included. - **URL**: https://apify.com/unfenced-group/landing-jobs-scraper.md - **Developed by:** [Unfenced Group](https://apify.com/unfenced-group) (community) - **Categories:** Jobs - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 1 bookmarks - **User rating**: No ratings yet ## Pricing from $1.50 / 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.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 ## Landing.jobs Scraper ![Landing.jobs Scraper](https://i.imgur.com/vfiPqlX.png) Extract tech job listings from [Landing.jobs](https://landing.jobs) — a curated job board focused on software engineering and technology roles across Europe, Brazil, and globally remote positions. ### What it does This scraper retrieves all active job listings from Landing.jobs, including full job descriptions, requirements, perks, salary ranges, company details, and location data. Results can be filtered by keyword, country, remote status, contract type, and recency. Because Landing.jobs is a curated board with a focused inventory, each run completes in seconds with no proxy required. ### Features - **Full job data** — title, description, requirements, perks, salary, company, location, tags - **Multiple output formats** — HTML, plain text, and Markdown for every rich-text field - **Flexible filtering** — keyword, country, remote, contract type, age in days - **Cross-run deduplication** — optionally skip jobs already captured in a previous run - **No API key required** — works out of the box ### Input parameters | Parameter | Type | Description | |---|---|---| | `keyword` | String | Filter by keyword (matches title, tags, and description) | | `countryCode` | String | ISO country code, e.g. `PT`, `DE`, `BR` | | `remote` | Boolean | Return only remote positions when `true` | | `contractType` | Enum | `Full-time`, `Part-time`, `Contract`, or `Internship` | | `daysOld` | Integer | Maximum age of the listing in days (`0` = no limit) | | `skipReposts` | Boolean | Skip jobs already seen in a previous run | | `maxItems` | Integer | Cap the number of results (`0` = unlimited) | ### Output Each result contains the following fields: | Field | Type | Description | |---|---|---| | `id` | String | Landing.jobs job ID | | `title` | String | Job title | | `companyName` | String | Hiring company name | | `companyId` | String | Internal company ID | | `companyWebsite` | String | Company website URL | | `companyLogoUrl` | String | Company logo image URL | | `url` | String | Direct link to the job posting | | `contractType` | String | Employment type (Full-time, Contract, etc.) | | `remote` | Boolean | Whether the position is remote | | `city` | String | Primary city (from first location) | | `countryCode` | String | Primary country code (from first location) | | `locations` | Array | All listed locations `[{ city, country_code }]` | | `tags` | Array | Technology/skill tags | | `salaryMin` | Integer | Annual gross salary lower bound | | `salaryMax` | Integer | Annual gross salary upper bound | | `currencyCode` | String | Salary currency (e.g. `EUR`, `USD`) | | `description` | String | Role description (HTML) | | `descriptionText` | String | Role description (plain text) | | `descriptionMarkdown` | String | Role description (Markdown) | | `requirements` | String | Main requirements (HTML) | | `requirementsText` | String | Main requirements (plain text) | | `requirementsMarkdown` | String | Main requirements (Markdown) | | `perks` | String | Benefits and perks (HTML) | | `perksText` | String | Benefits and perks (plain text) | | `perksMarkdown` | String | Benefits and perks (Markdown) | | `niceToHave` | String | Nice-to-have skills (HTML) | | `niceToHaveText` | String | Nice-to-have skills (plain text) | | `niceToHaveMarkdown` | String | Nice-to-have skills (Markdown) | | `publishDate` | String | Publication date `YYYY-MM-DD` | | `publishDateISO` | String | Publication date ISO 8601 | | `expiresAt` | String | Expiry date `YYYY-MM-DD` | | `relocationPaid` | Boolean | Whether relocation is covered | | `referralValue` | Number | Referral reward amount | | `contentHash` | String | MD5 hash of URL + publish date (change detector) | | `summary` | String | One-line summary for alerts | | `source` | String | Always `landing.jobs` | | `scrapedAt` | String | Scrape timestamp (ISO 8601) | | `isRepost` | Boolean | `true` if seen in a previous run | | `originalPublishDate` | String | Original publish date if this is a repost | | `originalUrl` | String | Original URL if this is a repost | ### Example input ```json { "keyword": "python", "countryCode": "PT", "remote": false, "contractType": "Full-time", "daysOld": 90, "maxItems": 50 } ```` ### Pricing **$1.50 per 1,000 results.** A typical full run (all active jobs) costs less than $0.01. ### Notes - Landing.jobs is a curated board — total active inventory is typically 40–100 listings at any given time. - Salary fields are only populated when the company has disclosed a salary range. - Locations can contain multiple entries for multi-location roles. # Actor input Schema ## `keyword` (type: `string`): Filter jobs by keyword (searched in job title, tags, and description). Leave empty to return all jobs. ## `countryCode` (type: `string`): ISO 3166-1 alpha-2 country code to filter by location (e.g. PT, DE, BR). Leave empty for all countries. ## `remote` (type: `boolean`): When enabled, only remote jobs are returned. Leave unchecked to return all jobs regardless of remote status. ## `contractType` (type: `string`): Filter by employment type. Leave empty for all types. ## `daysOld` (type: `integer`): Return only jobs published within the last N days. Set to 0 to return all jobs regardless of age. ## `skipReposts` (type: `boolean`): When enabled, jobs already seen in a previous run are excluded from the output. ## `maxItems` (type: `integer`): Maximum number of jobs to return. Set to 0 for unlimited. ## Actor input object example ```json { "keyword": "python", "countryCode": "PT", "contractType": "", "daysOld": 30, "skipReposts": false, "maxItems": 100 } ``` # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("unfenced-group/landing-jobs-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 = {} # Run the Actor and wait for it to finish run = client.actor("unfenced-group/landing-jobs-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 '{}' | apify call unfenced-group/landing-jobs-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=unfenced-group/landing-jobs-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Landing.jobs Scraper", "description": "Extract tech job listings from Landing.jobs. Filter by keyword, country, remote, contract type and salary. Full descriptions, requirements and perks included.", "version": "0.0", "x-build-id": "wvBPNcNzDgaZfFYcI" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/unfenced-group~landing-jobs-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-unfenced-group-landing-jobs-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/unfenced-group~landing-jobs-scraper/runs": { "post": { "operationId": "runs-sync-unfenced-group-landing-jobs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/unfenced-group~landing-jobs-scraper/run-sync": { "post": { "operationId": "run-sync-unfenced-group-landing-jobs-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "keyword": { "title": "Keyword", "type": "string", "description": "Filter jobs by keyword (searched in job title, tags, and description). Leave empty to return all jobs." }, "countryCode": { "title": "Country code", "type": "string", "description": "ISO 3166-1 alpha-2 country code to filter by location (e.g. PT, DE, BR). Leave empty for all countries." }, "remote": { "title": "Remote only", "type": "boolean", "description": "When enabled, only remote jobs are returned. Leave unchecked to return all jobs regardless of remote status." }, "contractType": { "title": "Contract type", "enum": [ "", "Full-time", "Part-time", "Contract", "Internship" ], "type": "string", "description": "Filter by employment type. Leave empty for all types.", "default": "" }, "daysOld": { "title": "Max. age (days)", "minimum": 0, "type": "integer", "description": "Return only jobs published within the last N days. Set to 0 to return all jobs regardless of age.", "default": 0 }, "skipReposts": { "title": "Skip reposts", "type": "boolean", "description": "When enabled, jobs already seen in a previous run are excluded from the output.", "default": false }, "maxItems": { "title": "Max. results", "minimum": 0, "type": "integer", "description": "Maximum number of jobs to return. Set to 0 for unlimited.", "default": 0 } } }, "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 } } } } } } } } } } ```