# Stepstone.it Italy Job Scraper (`unfenced-group/stepstone-it-scraper`) Actor Scrape job listings from Stepstone Italy. Filter by keyword, location and contract type. Returns salary, full descriptions, geocoordinates and repost detection. No API key required. - **URL**: https://apify.com/unfenced-group/stepstone-it-scraper.md - **Developed by:** [Unfenced Group](https://apify.com/unfenced-group) (community) - **Categories:** Jobs - **Stats:** 2 total users, 1 monthly users, 0.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $1.50 / 1,000 result items 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 ## Stepstone.it Scraper ![Stepstone Italy Scraper](https://i.imgur.com/zdHdalw.png) Scrape structured job listings from [Stepstone.it](https://www.stepstone.it) โ€” Italy's leading employment platform. 100,000+ active listings. No API key required. > **v2.0** โ€” Upgraded to **JSON-HTML extraction** (`__NEXT_DATA__`). Stepstone.it is a Next.js SSR app; all search results are now extracted from the embedded JSON blob rather than CSS selectors, making parsing faster and more resilient to layout changes. Falls back to JSON-LD and CSS selectors automatically if the JSON path is absent. --- ### Why this scraper? #### ๐Ÿ‡ฎ๐Ÿ‡น Stepstone.it โ€” Italy's job market Retrieve job data from Stepstone Italy covering all major industries, contract types, and regions. #### ๐Ÿ“„ Full job descriptions Enable `fetchDetails` to retrieve complete job descriptions in HTML, plain text, and Markdown โ€” ideal for AI pipelines and RAG systems. #### ๐Ÿ’ฐ Structured salary data Salary ranges are returned as structured numeric fields (`salaryMin`, `salaryMax`, `salaryType`) alongside the formatted display string. #### ๐Ÿ” Repost detection The scraper detects duplicate listings posted multiple times by the same employer. Use `skipReposts: true` to exclude them or check the `isRepost` field to filter later. #### ๐Ÿ“ Geocoding included City names are automatically resolved to `latitude`/`longitude` coordinates via Nominatim โ€” no extra cost. #### ๐Ÿ“‹ Three description formats Job descriptions are available as HTML (for rendering), plain text (for search/indexing), and Markdown (for LLMs/RAG). --- ### Input parameters | Parameter | Type | Default | Description | |-----------|------|---------|-------------| | `searchQuery` | string | `developer` | Job title, skill, or keyword | | `location` | string | `Milano` | City or region (e.g. Roma, Torino, Napoli) | | `radius` | integer | `40` | Search radius in km | | `maxItems` | integer | `5` | Maximum results to return | | `daysOld` | integer | โ€” | Only return listings posted within N days | | `skipReposts` | boolean | `false` | Skip listings posted more than once | | `fetchDetails` | boolean | `false` | Fetch full description from detail pages | | `startUrls` | array | โ€” | Specific Stepstone.it search or job URLs | --- ### Output schema #### Always present | Field | Type | Description | |-------|------|-------------| | `url` | string | Job listing URL | | `jobId` | string | Unique Stepstone job ID | | `source` | string | Always `stepstone.it` | | `language` | string | Always `it` | | `title` | string | Job title | | `company` | string | Employer name | | `companyUrl` | string\|null | Employer website | | `companyLogoUrl` | string\|null | Company logo image URL (**new in v2.0**) | | `city` | string\|null | City | | `location` | string\|null | Normalised location string | | `country` | string | Always `IT` | | `contractType` | string\|null | e.g. `FULL_TIME`, `PART_TIME`, `TEMPORARY` | | `workSchedule` | string\|null | Work schedule description | | `salary` | string\|null | Formatted salary (e.g. `โ‚ฌ35.000 โ€“ โ‚ฌ45.000 (YEAR)`) | | `salaryMin` | number\|null | Minimum salary (numeric) | | `salaryMax` | number\|null | Maximum salary (numeric) | | `salaryType` | string\|null | `YEAR`, `MONTH`, or `HOUR` | | `salaryCurrency` | string\|null | Always `EUR` when present | | `publishDate` | string\|null | Publication date (YYYY-MM-DD) | | `publishDateISO` | string\|null | Publication date (ISO 8601) | | `daysOld` | integer\|null | Days since publication | | `expiryDate` | string\|null | Expiry date (YYYY-MM-DD) | | `applyUrl` | string\|null | Direct apply URL when available via `__NEXT_DATA__` (**new in v2.0**) | | `isRemote` | boolean | Whether the role is fully remote (**new in v2.0**) | | `tags` | array\|null | Job tags / categories from Stepstone metadata (**new in v2.0**) | | `snippet` | string\|null | Short description snippet from search results (**new in v2.0**) | | `isRepost` | boolean | Whether this listing was posted before | | `scrapedAt` | string | Scrape timestamp (ISO 8601) | | `latitude` | number\|null | Geocoded latitude | | `longitude` | number\|null | Geocoded longitude | #### With `fetchDetails: true` | Field | Type | Description | |-------|------|-------------| | `description` | string\|null | Full job description (HTML) | | `descriptionText` | string\|null | Full job description (plain text) | | `descriptionMarkdown` | string\|null | Full job description (Markdown) | | `summary` | string\|null | First 200 characters of description | | `skills` | array\|null | Skills / requirements list from job data (**new in v2.0**) | | `benefits` | array\|null | Benefits / perks list from job data (**new in v2.0**) | | `extractionMethod` | string | Which method extracted data: `nextdata`, `jsonld`, or `css` (**new in v2.0**) | #### Example output ```json { "url": "https://www.stepstone.it/offerte-lavoro/software-engineer-milano--12345678-inline.html", "jobId": "12345678", "source": "stepstone.it", "language": "it", "title": "Software Engineer", "company": "Tech Company SPA", "companyUrl": "https://www.techcompany.it", "companyLogoUrl": "https://www.stepstone.it/upload_de/logo/example.gif", "city": "Milano", "location": "Milano", "country": "IT", "contractType": "FULL_TIME", "workSchedule": "Full time", "salary": "โ‚ฌ40.000 โ€“ โ‚ฌ55.000 (YEAR)", "salaryMin": 40000, "salaryMax": 55000, "salaryType": "YEAR", "salaryCurrency": "EUR", "publishDate": "2026-05-01", "publishDateISO": "2026-05-01T00:00:00Z", "daysOld": 3, "expiryDate": "2026-06-01", "applyUrl": null, "isRemote": false, "tags": null, "snippet": null, "isRepost": false, "scrapedAt": "2026-05-04T10:00:00.000Z", "latitude": 45.4642, "longitude": 9.19 } ```` *** ### Examples **Basic search โ€” developer jobs in Milan** ```json { "searchQuery": "developer", "location": "Milano", "maxItems": 50 } ``` **Filter by age and work type** ```json { "searchQuery": "marketing", "location": "Roma", "daysOld": 7, "maxItems": 100 } ``` **Full descriptions for AI processing** ```json { "searchQuery": "data scientist", "location": "Torino", "fetchDetails": true, "maxItems": 25 } ``` **Specific job URLs** ```json { "startUrls": [ { "url": "https://www.stepstone.it/offerte-lavoro/software-engineer-milano--12345678-inline.html" } ], "fetchDetails": true } ``` *** ### ๐Ÿ’ฐ Pricing **$1.50 per 1,000 results** (Pay-Per-Event) | Action | Cost | |--------|------| | Actor start | $0.00005 | | Per result | $0.0015 | | 1,000 results | ~$1.50 | | 10,000 results | ~$15.00 | Unlike flat-rate scrapers that charge the same whether you get 10 or 10,000 results, you only pay for what you actually receive. *** ### Performance | Scenario | Speed | Cost | |----------|-------|------| | 100 listings (fetchDetails: false) | ~1 min | ~$0.15 | | 100 listings (fetchDetails: true) | ~3 min | ~$0.15 + compute | | 1,000 listings | ~10 min | ~$1.50 | *** ### Known limitations - `applyUrl` is always `null` โ€” Stepstone Italy uses a login modal for applications - Salary data is not published by all employers โ€” `null` values are normal - Without a location, the scraper returns national results - `fetchDetails: true` is slower and uses more compute credits *** ### Technical details - HTTP-only scraper (no browser required) โ€” fast and cost-efficient - RESIDENTIAL proxy for reliable access - Self-healing health monitoring with automatic failure detection - Cross-run repost deduplication via Key-Value Store - Nominatim geocoding for coordinates *** ### Additional services Need a custom scraper, scheduled runs, or data integration? Contact us at . *** *Built by [unfenced-group](https://apify.com/unfenced-group) ยท Stepstone.it is a trademark of The Stepstone Group* # Actor input Schema ## `searchQuery` (type: `string`): Job title, skill, or keyword to search for. ## `location` (type: `string`): City or region to search in (e.g. Milano, Roma, Torino). ## `radius` (type: `integer`): Search radius in kilometres around the location. ## `maxItems` (type: `integer`): Maximum number of job listings to return. ## `daysOld` (type: `integer`): Only return jobs posted within this many days. Leave empty for all listings. ## `skipReposts` (type: `boolean`): Skip job listings that have been posted before (cross-run deduplication). ## `fetchDetails` (type: `boolean`): Visit each job detail page for full description (HTML, plain text, Markdown) and salary data. Slower but more complete. ## `startUrls` (type: `array`): Optional: provide specific Stepstone.it search or job detail URLs to scrape instead of using the search parameters above. ## Actor input object example ```json { "searchQuery": "developer", "location": "Milano", "radius": 40, "maxItems": 5, "skipReposts": false, "fetchDetails": false, "startUrls": [] } ``` # 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/stepstone-it-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`๐Ÿ’พ 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); }); // ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ 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/stepstone-it-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("๐Ÿ’พ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{}' | apify call unfenced-group/stepstone-it-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=unfenced-group/stepstone-it-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Stepstone.it Italy Job Scraper", "description": "Scrape job listings from Stepstone Italy. Filter by keyword, location and contract type. Returns salary, full descriptions, geocoordinates and repost detection. No API key required.", "version": "0.0", "x-build-id": "UFcApmGLJwy7w4xw5" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/unfenced-group~stepstone-it-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-unfenced-group-stepstone-it-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/unfenced-group~stepstone-it-scraper/runs": { "post": { "operationId": "runs-sync-unfenced-group-stepstone-it-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/unfenced-group~stepstone-it-scraper/run-sync": { "post": { "operationId": "run-sync-unfenced-group-stepstone-it-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "searchQuery": { "title": "Search Query", "type": "string", "description": "Job title, skill, or keyword to search for.", "default": "developer" }, "location": { "title": "Location", "type": "string", "description": "City or region to search in (e.g. Milano, Roma, Torino).", "default": "Milano" }, "radius": { "title": "Search Radius (km)", "minimum": 0, "maximum": 100, "type": "integer", "description": "Search radius in kilometres around the location.", "default": 40 }, "maxItems": { "title": "Maximum Results", "minimum": 1, "type": "integer", "description": "Maximum number of job listings to return.", "default": 5 }, "daysOld": { "title": "Maximum Age (days)", "minimum": 0, "type": "integer", "description": "Only return jobs posted within this many days. Leave empty for all listings." }, "skipReposts": { "title": "Skip Reposts", "type": "boolean", "description": "Skip job listings that have been posted before (cross-run deduplication).", "default": false }, "fetchDetails": { "title": "Fetch Full Descriptions", "type": "boolean", "description": "Visit each job detail page for full description (HTML, plain text, Markdown) and salary data. Slower but more complete.", "default": false }, "startUrls": { "title": "Start URLs", "type": "array", "description": "Optional: provide specific Stepstone.it search or job detail URLs to scrape instead of using the search parameters above.", "default": [], "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 } } } } } } } } } } ```