# IrishJobs.ie Scraper — Ireland Job Listings, Salary & Skills (`blackfalcondata/irishjobs-scraper`) Actor Scrape Ireland's irishjobs.ie for structured job data including salary range, skills, and employment type. Incremental mode tracks new and changed jobs across runs via a stable stateKey. Filter by Irish county or a radius around any city. - **URL**: https://apify.com/blackfalcondata/irishjobs-scraper.md - **Developed by:** [Black Falcon Data](https://apify.com/blackfalcondata) (community) - **Categories:** Jobs, Lead generation, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $3.00 / 1,000 results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. 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 ### What does IrishJobs.ie Scraper do? IrishJobs.ie Scraper extracts structured job data from [irishjobs.ie](https://irishjobs.ie) — including salary data, contact details (email, apply URL), company metadata, full descriptions, location data, skill tags, and ratings and reviews. It supports keyword search, location filters, and controllable result limits, so you can run the same query consistently over time. The actor also offers detail enrichment (full descriptions, company metadata, and contact information) where the source provides them. **New to Apify?** [Sign up free](https://console.apify.com/sign-up?fpr=1h3gvi) and use the included $5 monthly platform credit to test this actor. ### Key features - **♻️ Incremental mode** — recurring runs emit only NEW / UPDATED / REAPPEARED records — UNCHANGED and EXPIRED are opt-in. First run builds the baseline; subsequent runs emit and charge only for the diff. Pair with notifications for daily "new jobs" alerts to your hiring team. Saves 80–95% on daily monitoring. - **🔔 Notifications** — Telegram, Slack, Discord, WhatsApp Cloud API, generic webhook — out of the box. Pair with incremental + `notifyOnlyChanges` for daily "new Irishjobs jobs" pings to your hiring channel. - **🔗 Paste-mode** — paste any irishjobs.ie URL straight from your browser — single-job pages, search-results URLs, or category SEO URLs. Build the search you want in the UI, copy the URL, paste it here. - **🎯 Batch searches** — batch `["python developer", "data engineer", "ML engineer"]` in one run — one dedup state across all searches, single dataset, one Actor-Start charge instead of N. - **📦 Compact mode** — AI-agent and MCP-friendly compact payloads with core fields only — pipe straight into your ATS, salary-benchmarking tool, or LLM context without parsing extras. - **📤 Export anywhere** — Download the dataset as JSON, CSV, or Excel from the Apify Console, or stream live via the Apify API and integrations (Make, Zapier, Google Sheets, n8n, …). - **📋 Detail enrichment** — two-stage mode: list, then enrich each job with the full description + detail-page fields (apply counts, education, etc.). One toggle, no extra orchestration. - **📧 Email + phone extraction** — every record carries `extractedEmails[]` and `extractedPhones[]` regex-pulled from the description — direct-outreach lists with no extra processing step. - **🔗 URL + social-profile extraction** — every record carries `extractedUrls[]` and structured `socialProfiles { linkedin, twitter, github, … }` parsed from the description — useful when employers drop their careers page or recruiter LinkedIn in-line. - **💰 Structured salary** — salary parsed into structured `salaryMin` / `salaryMax` / `salaryCurrency` / period — no string parsing on your side. Includes `salaryHidden` flag when the source filtered against a bracket but the listing itself doesn't disclose. ### What data can you extract from irishjobs.ie? Each result includes Core listing fields (`jobId`, `harmonisedId`, `legacyJobId`, `title`, `location`, `postCode`, `textSections`, and `textSnippet`, and more), detail fields when enrichment is enabled (`description`, `descriptionHtml`, `descriptionMarkdown`, `descriptionLength`, and `locationDetail`), contact and apply information (`contactName`, `contactEmail`, `contactPhone`, and `directApply`), and company metadata (`company`, `companyId`, `companyLogo`, and `companyUrl`). In standard mode, all fields are always present — unavailable data points are returned as `null`, never omitted. In compact mode, only core fields are returned. Enable detail enrichment in the input to get richer fields such as full descriptions, company metadata, and contact information where the source provides them. ### Input The main inputs are a search keyword, an optional location filter, and a result limit. Additional filters and options are available in the input schema. Key parameters: - **`query`** — Job search keywords (e.g. "software engineer"). Use JSON array ["query1", "query2"] for multi-query. - **`location`** — City or region (e.g. "Dublin", "Cork"). Use JSON array for multi-location. - **`startUrls`** — Direct IrishJobs.ie search or job detail URLs. Overrides query/location when provided. - **`county`** — Filter by Irish county. Overrides location when set. - **`sort`** — Sort order for results (default: `"relevance"`) - **`age`** — Only show jobs posted within this many days (1, 3, 7, or 14) - **`remote`** — Only show remote/home office positions - **`radius`** — Search radius around location in km (requires location) - **`minSalary`** — Minimum annual salary filter (EUR) - **`contractType`** — Filter by contract/employment type - **`experience`** — Filter by experience level - **`workType`** — Filter by work schedule (full-time / part-time) - ...and 39 more parameters ### Input examples **Basic search** — Keyword-driven search with a result cap. → Full payload per result — all standard fields populated where the source provides them. ```json { "mode": "full", "query": "software engineer", "maxResults": 50 } ```` **Filtered search** — Narrow results with advanced filters — only matching jobs are returned. → Same field set as basic search; fewer, more relevant rows. ```json { "query": "software engineer", "contractType": "FULL_TIME", "workType": "FULL_TIME", "maxResults": 100 } ``` **Incremental tracking** — Only emit jobs that changed since the previous run with this `stateKey`. → First run builds the baseline state. Subsequent runs emit only records that are new or whose tracked content changed. Set `emitUnchanged: true` to include unchanged records as well. ```json { "query": "software engineer", "maxResults": 200, "incrementalMode": true, "stateKey": "software-engineer-tracker" } ``` **Compact filtered output** — Combine filters with compact mode for a lightweight AI-agent or MCP data source. → Core fields only — ideal for piping into LLMs or downstream tools without token overhead. ```json { "query": "software engineer", "contractType": "FULL_TIME", "workType": "FULL_TIME", "maxResults": 50, "compact": true } ``` ### Output Each run produces a dataset of structured job records. Results can be downloaded as JSON, CSV, or Excel from the Dataset tab in Apify Console. ### Example job record ```json { "jobId": "c6ce4c03782bf50e39db918529ad1adcf0f0f52f68a99bd3e749748216584895", "harmonisedId": "709e9a8b-cd2c-480c-be9c-285f6fdf9122", "legacyJobId": 107179562, "title": "ServiceNow Developer", "company": "Conscia Ireland", "companyId": 1342289, "companyLogo": "https://www.irishjobs.ie/CompanyLogos/e8410312-b1f1-4285-878f-66a332b6330a.png", "companyUrl": "https://www.irishjobs.ie/jobs/plannet21-communications?cmpId=1342289&cmp=1", "companyWebsite": null, "companyEmployees": "0 - 49", "companyIndustries": [ "Technology" ], "companyBenefits": [], "companyAddress": "3200 Lake Drive, Citywest Business Campus, Dublin, D24 YD63, DB", "contactName": null, "contactEmail": null, "contactPhone": null, "applyEmail": null, "location": "Dublin, County Dublin", "postCode": null, "description": "Job Description Who are we? Conscia is a leading provider of cybersecurity, networking, hybrid cloud, and observability solutions for mission-critical IT infrastructure in large European organisations...", "descriptionHtml": "
Job Description

Who are we? 
Conscia is a leading provider of cybersecurity, networking, hybrid cloud, and observability solutions for mission-cri...", "descriptionMarkdown": "**Job Description**\n\n**Who are we? **\nConscia is a leading provider of cybersecurity, networking, hybrid cloud, and observability solutions for mission-critical IT infrastructure in large European org...", "descriptionLength": 3323, "textSections": [ { "type": "description", "title": null, "content": "
Job Description

Who are we? 
Conscia is a leading provider of cybersecurity, networking, hybrid cloud, and observability solutions for mission-critical IT infrastructure in large European organisations. Conscia’s experts design, implement, and run innovative, customised IT solutions across cybersecurity, networking, hybrid cloud, and observability, supporting our customers throughout their technology lifecycles. Founded in 2003, Conscia is owned by private equity investor Nordic Capital. With around 1,500 employees, Conscia serves large organisations in finance, healthcare, manufacturing, utilities, retail, and the public sector from offices in Belgium, Denmark, Finland, Germany, Ireland, Norway, Slovenia, Sweden, the Netherlands, and the UK. 

The role! 
Conscia Ireland is seeking an experienced ServiceNow Developer with strong expertise in designing, configuring, and implementing ServiceNow solutions across CSM, ITSM and SPM. Skilled in translating business requirements into scalable technical solutions, enhancing platform functionality, and ensuring alignment with ITIL best practices. Adept at working in agile environments, improving workflows, and delivering high-quality platform enhancements.



Job Requirements

Essential Skills & Qualifications
Professional Strengths


Job Responsibilities

Key contributions:


Job Benefits

Why Conscia Ireland?
Join a dynamic, innovative team where your work directly impacts high-profile network and security projects. Grow your career while contributing to cutting-edge solutions in a collaborative environment across Europe.

Conscia Ireland is an Equal Opportunities Employer committed to Diversity & Inclusion.


" } ], "textSnippet": "Conscia Ireland is seeking an experienced ServiceNow Developer with strong expertise in designing, configuring, and implementing ServiceNow solutions across CSM, ITSM and SPM.", "textSnippetCleaned": "Conscia Ireland is seeking an experienced ServiceNow Developer with strong expertise in designing, configuring, and implementing ServiceNow solutions across CSM, ITSM and SPM.", "salaryText": "€ Not Disclosed", "salaryMin": null, "salaryMax": null, "salaryCurrency": "EUR", "salaryPeriod": null, "locationDetail": { "city": "Dublin, County Dublin", "postalCode": "", "country": "IE", "lat": 53.33306, "lng": -6.24889 }, "workFromHome": false, "workFromHomeLabel": null, "employmentType": "FULL_TIME", "directApply": true, "industry": "IT, IT-Software Development", "skills": [], "labels": [], "isSponsored": false, "isTopJob": false, "isPartnershipJob": false, "isAnonymous": false, "isHighlighted": false, "companyRating": null, "partnership": { "isPartnershipJob": false, "isCrossPosted": false, "sourceSiteFriendlyName": null }, "metaData": { "positionOnPage": 1, "positionAbsolute": 1 }, "section": "main", "datePosted": "2026-04-24T09:26:51.327Z", "postedDaysAgo": 22, "publishFromDate": "2026-04-24T09:26:51.327Z", "publishToDate": "2026-05-24T23:00:00Z", "validThrough": "2026-05-24T23:00:00Z", "canonicalUrl": "https://www.irishjobs.ie/job/servicenow-developer/conscia-ireland-job107179562", "portalUrl": "https://www.irishjobs.ie", "applyUrl": null, "sourceUrl": "https://www.irishjobs.ie/jobs/developer/in-Dublin", "sourceDomain": "irishjobs.ie", "searchQuery": "developer", "scrapedAt": "2026-05-16T20:01:12.955Z", "detailFetched": true, "contentQuality": "full", "contentHash": "10ce5215f2f28816d1ace5d924ae82b8006075aca44ced30081c45c90308887e", "similarJobCount": 10, "isRepost": false, "originalPublishDate": null, "repostOfId": null, "repostDetectedAt": null, "changeType": null, "trackedHash": null, "firstSeenAt": null, "lastSeenAt": null, "previousSeenAt": null, "expiredAt": null, "stateKey": null, "extractedEmails": [], "extractedPhones": [], "extractedUrls": [], "socialProfiles": { "linkedin": null, "twitter": null, "instagram": null, "facebook": null, "youtube": null, "tiktok": null, "github": null, "xing": null, "bluesky": null, "threads": null, "mastodon": null } } ``` ### Incremental fields When `incremental: true`, each record also carries: - `changeType` — one of `NEW`, `UPDATED`, `UNCHANGED`, `REAPPEARED`, `EXPIRED`. Default output covers `NEW` / `UPDATED` / `REAPPEARED`; set `emitUnchanged: true` or `emitExpired: true` to opt into the others. - `firstSeenAt`, `lastSeenAt` — ISO-8601 timestamps tracking the listing across runs. - `isRepost`, `repostOfId`, `repostDetectedAt` — populated when a new listing matches the tracked content of a previously expired one. Set `skipReposts: true` to drop detected reposts from the output. ### How to scrape irishjobs.ie 1. Go to [IrishJobs.ie Scraper](https://apify.com/blackfalcondata/irishjobs-scraper?fpr=1h3gvi) in Apify Console. 2. Enter a search keyword and optional location filter. 3. Set `maxResults` to control how many results you need. 4. Enable `includeDetails` if you need full descriptions, contact info, company data. 5. Click **Start** and wait for the run to finish. 6. Export the dataset as JSON, CSV, or Excel. ### Use cases - Extract job data from irishjobs.ie for market research and competitive analysis. - Track salary trends across regions and categories over time. - Monitor new and changed listings on scheduled runs without processing the full dataset every time. - Build outreach lists using contact details and apply URLs from listings. - Research company hiring patterns, employer profiles, and industry distribution. - Use structured location data for regional analysis, mapping, and geo-targeting. - Feed structured data into AI agents, MCP tools, and automated pipelines using compact mode. - Export clean, structured data to dashboards, spreadsheets, or data warehouses. - Analyze skill demand across listings using structured skill tags. - Collect ratings and reviews for reputation monitoring and benchmarking. ### How much does it cost to scrape irishjobs.ie? IrishJobs.ie Scraper uses [pay-per-event](https://docs.apify.com/platform/actors/paid-actors/pay-per-event) pricing. You pay a small fee when the run starts and then for each result that is actually produced. - **Run start:** $0.005 per run - **Per result:** $0.0015 per job record Example costs: - 10 results: **$0.02** - 100 results: **$0.15** - 500 results: **$0.76** #### Example: recurring monitoring savings These examples compare full re-scrapes with incremental runs at different churn rates. Churn is the share of listings that are new or whose tracked content changed since the previous run. Actual churn depends on your query breadth, source activity, and polling frequency — the scenarios below are examples, not predictions. Example setup: 200 results per run, daily polling (30 runs/month). Event-pricing examples scale linearly with result count. | Churn rate | Full re-scrape run cost | Incremental run cost | Savings vs full re-scrape | Monthly cost after baseline | |---|---:|---:|---:|---:| | 5% — stable niche query | $0.30 | $0.02 | $0.28 (93%) | $0.60 | | 15% — moderate broad query | $0.30 | $0.05 | $0.26 (84%) | $1.50 | | 30% — high-volume aggregator | $0.30 | $0.10 | $0.21 (69%) | $2.85 | Full re-scrape monthly cost at daily polling: $9.15. First month with incremental costs $0.89 / $1.75 / $3.06 for the 5% / 15% / 30% scenarios because the first run builds baseline state at full cost before incremental savings apply. Platform usage (compute and proxies) is billed separately by Apify based on actual consumption. Incremental runs consume less on result processing, though fixed per-run overhead stays the same. ### FAQ #### How many results can I get from irishjobs.ie? The number of results depends on the search query and available listings on irishjobs.ie. Use the `maxResults` parameter to control how many results are returned per run. #### Does IrishJobs.ie Scraper support recurring monitoring? Yes. Enable incremental mode to only receive new or changed listings on subsequent runs. This is ideal for scheduled monitoring where you want to track changes over time without re-processing the full dataset. #### Can I integrate IrishJobs.ie Scraper with other apps? Yes. IrishJobs.ie Scraper works with Apify's [integrations](https://apify.com/integrations?fpr=1h3gvi) to connect with tools like Zapier, Make, Google Sheets, Slack, and more. You can also use webhooks to trigger actions when a run completes. #### Can I use IrishJobs.ie Scraper with the Apify API? Yes. You can start runs, manage inputs, and retrieve results programmatically through the [Apify API](https://docs.apify.com/api/v2). Client libraries are available for JavaScript, Python, and other languages. #### Can I use IrishJobs.ie Scraper through an MCP Server? Yes. Apify provides an [MCP Server](https://apify.com/apify/actors-mcp-server?fpr=1h3gvi) that lets AI assistants and agents call this actor directly. Use compact mode and `descriptionMaxLength` to keep payloads manageable for LLM context windows. #### Is it legal to scrape irishjobs.ie? This actor extracts publicly available data from irishjobs.ie. Web scraping of public information is generally considered legal, but you should always review the target site's terms of service and ensure your use case complies with applicable laws and regulations, including GDPR where relevant. #### Your feedback If you have questions, need a feature, or found a bug, please [open an issue](https://apify.com/blackfalcondata/irishjobs-scraper/issues?fpr=1h3gvi) on the actor's page in Apify Console. Your feedback helps us improve. ### You might also like - [Actiris Brussels Job Scraper](https://apify.com/blackfalcondata/actiris-scraper?fpr=1h3gvi) — Scrape all active job listings from actiris.brussels — official Brussels public employment service.. - [Adzuna Job Scraper — Global Jobs with Salary & Coordinates](https://apify.com/blackfalcondata/adzuna-scraper?fpr=1h3gvi) — Scrape adzuna.com job listings across 19 country markets with structured salary data. - [APEC.fr Scraper - French Executive Jobs](https://apify.com/blackfalcondata/apec-scraper?fpr=1h3gvi) — Scrape apec.fr - French executive job listings with salary ranges, company, location, skills,. - [Arbeitsagentur Jobs Feed — German Federal Employment Agency](https://apify.com/blackfalcondata/arbeitsagentur-jobs-feed?fpr=1h3gvi) — Extract job listings from arbeitsagentur.de — Germany's official public employment portal with 1M+. - [Arbeitsagentur Scraper - German Jobs](https://apify.com/blackfalcondata/arbeitsagentur-scraper?fpr=1h3gvi) — Scrape arbeitsagentur.de - Germany’s official employment portal with 1M+ listings. Contact data,. - [Arbetsformedlingen Job Scraper](https://apify.com/blackfalcondata/arbetsformedlingen-scraper?fpr=1h3gvi) — Scrape arbetsformedlingen.se (Platsbanken) — Sweden's official employment portal. Returns 84. - [AutoScout24 Scraper — European Car Listings with Dealer Data](https://apify.com/blackfalcondata/autoscout24-scraper?fpr=1h3gvi) — Scrape autoscout24.com - Europe's largest used car marketplace with 770K+ listings. Structured. - [Bayt.com Scraper — MENA Jobs with Salary & Skills Filter](https://apify.com/blackfalcondata/bayt-scraper?fpr=1h3gvi) — Scrape bayt.com — the leading Middle East job board covering UAE, Saudi Arabia, Qatar, Egypt. ### Getting started with Apify New to Apify? [Create a free account with $5 credit](https://console.apify.com/sign-up?fpr=1h3gvi) — no credit card required. 1. Sign up — $5 platform credit included 2. Open this actor and configure your input 3. Click **Start** — export results as JSON, CSV, or Excel Need more later? [See Apify pricing](https://apify.com/pricing?fpr=1h3gvi). # Actor input Schema ## `mode` (type: `string`): Auto picks the best strategy for the requested run size. Lightweight has lower per-run overhead and is optimized for small runs (under ~20 results). Full has lower per-result cost and is optimized for larger runs (20+ results). ## `query` (type: `string`): Job search keywords (e.g. "software engineer"). Use JSON array \["query1", "query2"] for multi-query. ## `location` (type: `string`): City or region (e.g. "Dublin", "Cork"). Use JSON array for multi-location. ## `startUrls` (type: `array`): Direct IrishJobs.ie search or job detail URLs. Overrides query/location when provided. ## `county` (type: `string`): Filter by Irish county. Overrides location when set. ## `sort` (type: `string`): Sort order for results ## `age` (type: `integer`): Only show jobs posted within this many days (1, 3, 7, or 14) ## `remote` (type: `boolean`): Only show remote/home office positions ## `radius` (type: `string`): Search radius around location in km (requires location) ## `minSalary` (type: `integer`): Minimum annual salary filter (EUR) ## `contractType` (type: `string`): Filter by contract/employment type ## `experience` (type: `string`): Filter by experience level ## `workType` (type: `string`): Filter by work schedule (full-time / part-time) ## `companyId` (type: `integer`): Filter by company ID (numeric) ## `language` (type: `string`): Filter by job posting language (e.g., 'en', 'de') ## `applicationMethod` (type: `string`): Filter by how to apply ## `excludeSponsored` (type: `boolean`): Skip sponsored/promoted listings. Filters out items where isSponsored=true. ## `includeKeywords` (type: `object`): Require at least one of these keywords in title/description/skills. Example: {"keywords":\["React","Node.js"],"matchTitle":true,"matchDescription":true,"matchSkills":true}. ## `excludeKeywords` (type: `object`): Exclude jobs containing any of these keywords. Same config shape as includeKeywords. ## `fromDate` (type: `string`): Only include jobs posted on or after this date. Accepts YYYY-MM-DD or ISO-8601. ## `toDate` (type: `string`): Only include jobs posted on or before this date. ## `maxAgeMinutes` (type: `integer`): Only include jobs posted within the last N minutes. 0 = no limit. Pairs well with scheduled runs (e.g. 60 for hourly cron). ## `customFilters` (type: `array`): Array of rules applied to any output field. Each rule: {"field":"","op":"includes|notIncludes|equals|notEquals|gt|gte|lt|lte","value":...}. Example: \[{"field":"location","op":"includes","value":"Dublin"}, {"field":"description","op":"notIncludes","value":"php"}, {"field":"salaryMin","op":"gte","value":50000}]. ## `includeDetails` (type: `boolean`): Fetch each job's detail page for full description, structured salary, company profile, and similar jobs. Slower but much richer data. ## `descriptionFormat` (type: `string`): Which description formats to include in output. ## `maxResults` (type: `integer`): Maximum total job listings to return. 0 = unlimited. ## `maxPages` (type: `integer`): Maximum SERP pages per search source (25 jobs/page). Auto-raised when needed to satisfy Max Results — you usually don't need to change this. ## `compact` (type: `boolean`): When true, each result contains only the most essential fields: jobId, title, company, location, salary, skills, url, description. Use in AI-agent and MCP workflows where token budgets matter. ## `descriptionMaxLength` (type: `integer`): Truncate the description field to this many characters, appending '...' if truncated. 0 = no truncation. Pairs well with compact mode. ## `excludeEmptyFields` (type: `boolean`): Drop null, empty-string, and empty-array fields from each record before push. Smaller payloads for AI agents and dashboards. ## `outputFields` (type: `array`): Select subset of output fields. Supports dot notation: 'locationDetail.city'. If empty: all fields returned. ## `datasetName` (type: `string`): Custom dataset name. Supports masks: {DATE} = YYYYMMDD, {TIME} = HHMMSS ## `incrementalMode` (type: `boolean`): Track changes between runs. Emits NEW, UPDATED, EXPIRED records. Requires stateKey. ## `stateKey` (type: `string`): Optional stable identifier for the tracked search universe. Leave empty to auto-derive a stable identifier from your search inputs — different keyword/location/filter combinations get isolated state automatically. ## `emitUnchanged` (type: `boolean`): In incremental mode, also emit records that haven't changed since last run. ## `emitExpired` (type: `boolean`): In incremental mode, also emit records no longer found on the site. ## `skipReposts` (type: `boolean`): Exclude listings detected as reposts of previously seen jobs. ## `dedupStoreName` (type: `string`): Named KV store for cross-run dedup. Same name across runs = only new jobs pushed. ## `dedupKey` (type: `string`): Field used as unique key for dedup (default: jobId) ## `proxyConfiguration` (type: `object`): Configure proxy settings. Default works for most use cases. ## `telegramToken` (type: `string`): Telegram bot token from @BotFather. Required for Telegram notifications. ## `telegramChatId` (type: `string`): Telegram chat or channel ID where alerts are sent (e.g. "-100123456789" for a private group, or "@yourchannel"). ## `discordWebhookUrl` (type: `string`): Discord incoming webhook URL. Get one from Server Settings → Integrations → Webhooks. ## `slackWebhookUrl` (type: `string`): Slack incoming webhook URL. Create at api.slack.com/messaging/webhooks. ## `whatsappPhoneNumberId` (type: `string`): WhatsApp Business phone number ID from Meta Business Manager (NOT the phone number itself — the numeric ID shown next to your business number). Free service-conversation messages within 24 hours of last user-initiated contact. ## `whatsappAccessToken` (type: `string`): Meta Cloud API access token with `whatsapp_business_messaging` scope. Get a permanent token from a system user in Meta Business Manager. ## `whatsappTo` (type: `string`): Recipient phone in E.164 format (e.g. +919876543210). Recipient must have messaged your business number within the last 24 hours — outside that window, free-form text is rejected by Meta. ## `webhookUrl` (type: `string`): Generic webhook URL that receives a JSON POST with the full job payload + run metadata. Universal escape hatch for n8n / Make / Zapier / your own backend. ## `webhookHeaders` (type: `object`): Optional headers (e.g. {"Authorization": "Bearer xyz"}) sent with the webhook POST. ## `notificationLimit` (type: `integer`): Maximum number of jobs included in each notification message (1–20). Excess jobs are still in the dataset; notifications get a summary line. ## `notifyOnlyChanges` (type: `boolean`): When Incremental Mode is on, only send notifications for NEW / UPDATED / REAPPEARED jobs. Has no effect outside incremental mode. ## `includeRunMetadata` (type: `boolean`): Prepend a one-line summary (query + total count) to each notification batch. ## Actor input object example ```json { "mode": "auto", "query": "software engineer", "location": "Dublin", "sort": "relevance", "excludeSponsored": false, "maxAgeMinutes": 0, "includeDetails": true, "descriptionFormat": "all", "maxResults": 5, "maxPages": 5, "compact": false, "descriptionMaxLength": 0, "excludeEmptyFields": false, "incrementalMode": false, "emitUnchanged": false, "emitExpired": false, "skipReposts": false, "dedupKey": "jobId", "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "IE" }, "notificationLimit": 5, "notifyOnlyChanges": false, "includeRunMetadata": true } ``` # 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 = { "query": "software engineer", "maxResults": 5, "excludeEmptyFields": false, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "IE" } }; // Run the Actor and wait for it to finish const run = await client.actor("blackfalcondata/irishjobs-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 = { "query": "software engineer", "maxResults": 5, "excludeEmptyFields": False, "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], "apifyProxyCountry": "IE", }, } # Run the Actor and wait for it to finish run = client.actor("blackfalcondata/irishjobs-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 '{ "query": "software engineer", "maxResults": 5, "excludeEmptyFields": false, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "IE" } }' | apify call blackfalcondata/irishjobs-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=blackfalcondata/irishjobs-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "IrishJobs.ie Scraper — Ireland Job Listings, Salary & Skills", "description": "Scrape Ireland's irishjobs.ie for structured job data including salary range, skills, and employment type. Incremental mode tracks new and changed jobs across runs via a stable stateKey. Filter by Irish county or a radius around any city.", "version": "0.1", "x-build-id": "96GAsojfOmPEg3dgf" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/blackfalcondata~irishjobs-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-blackfalcondata-irishjobs-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/blackfalcondata~irishjobs-scraper/runs": { "post": { "operationId": "runs-sync-blackfalcondata-irishjobs-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/blackfalcondata~irishjobs-scraper/run-sync": { "post": { "operationId": "run-sync-blackfalcondata-irishjobs-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": { "mode": { "title": "🚦 Mode", "enum": [ "auto", "lightweight", "full" ], "type": "string", "description": "Auto picks the best strategy for the requested run size. Lightweight has lower per-run overhead and is optimized for small runs (under ~20 results). Full has lower per-result cost and is optimized for larger runs (20+ results).", "default": "auto" }, "query": { "title": "🔍 Search Term(s)", "type": "string", "description": "Job search keywords (e.g. \"software engineer\"). Use JSON array [\"query1\", \"query2\"] for multi-query." }, "location": { "title": "📍 Location", "type": "string", "description": "City or region (e.g. \"Dublin\", \"Cork\"). Use JSON array for multi-location." }, "startUrls": { "title": "🔗 Start URLs", "type": "array", "description": "Direct IrishJobs.ie search or job detail URLs. Overrides query/location when provided.", "items": { "type": "string" } }, "county": { "title": "📍 County", "enum": [ "dublin", "cork", "galway", "limerick", "waterford", "kilkenny", "wexford", "wicklow", "kildare", "meath", "louth", "kerry", "clare", "tipperary", "mayo", "sligo", "donegal", "cavan", "monaghan", "roscommon", "leitrim", "longford", "westmeath", "offaly", "laois", "carlow" ], "type": "string", "description": "Filter by Irish county. Overrides location when set." }, "sort": { "title": "🔀 Sort By", "enum": [ "relevance", "date", "salary_low", "salary_high" ], "type": "string", "description": "Sort order for results", "default": "relevance" }, "age": { "title": "Posted Within", "minimum": 1, "type": "integer", "description": "Only show jobs posted within this many days (1, 3, 7, or 14)" }, "remote": { "title": "🏠 Remote Only", "type": "boolean", "description": "Only show remote/home office positions" }, "radius": { "title": "📡 Radius (km)", "enum": [ "5", "10", "20", "30", "40", "50", "75", "100", "150", "200" ], "type": "string", "description": "Search radius around location in km (requires location)" }, "minSalary": { "title": "Minimum Salary", "minimum": 0, "type": "integer", "description": "Minimum annual salary filter (EUR)" }, "contractType": { "title": "📝 Contract Type", "enum": [ "FULL_TIME", "PART_TIME", "CONTRACT", "TEMPORARY", "INTERNSHIP", "APPRENTICESHIP", "FREELANCE", "MINI_JOB", "WORKING_STUDENT", "VOLUNTEER", "THESIS", "DUAL_STUDY" ], "type": "string", "description": "Filter by contract/employment type" }, "experience": { "title": "Experience Level", "enum": [ "no", "required", "executive" ], "type": "string", "description": "Filter by experience level" }, "workType": { "title": "Work Type", "enum": [ "FULL_TIME", "PART_TIME" ], "type": "string", "description": "Filter by work schedule (full-time / part-time)" }, "companyId": { "title": "Company ID", "minimum": 1, "type": "integer", "description": "Filter by company ID (numeric)" }, "language": { "title": "🌐 Language", "type": "string", "description": "Filter by job posting language (e.g., 'en', 'de')" }, "applicationMethod": { "title": "Application Method", "enum": [ "INTERNAL", "EXTERNAL" ], "type": "string", "description": "Filter by how to apply" }, "excludeSponsored": { "title": "Exclude Sponsored", "type": "boolean", "description": "Skip sponsored/promoted listings. Filters out items where isSponsored=true.", "default": false }, "includeKeywords": { "title": "📝 Include Keywords", "type": "object", "description": "Require at least one of these keywords in title/description/skills. Example: {\"keywords\":[\"React\",\"Node.js\"],\"matchTitle\":true,\"matchDescription\":true,\"matchSkills\":true}." }, "excludeKeywords": { "title": "🚫 Exclude Keywords", "type": "object", "description": "Exclude jobs containing any of these keywords. Same config shape as includeKeywords." }, "fromDate": { "title": "📅 From Date", "type": "string", "description": "Only include jobs posted on or after this date. Accepts YYYY-MM-DD or ISO-8601." }, "toDate": { "title": "📅 To Date", "type": "string", "description": "Only include jobs posted on or before this date." }, "maxAgeMinutes": { "title": "⏰ Max Age (minutes)", "minimum": 0, "type": "integer", "description": "Only include jobs posted within the last N minutes. 0 = no limit. Pairs well with scheduled runs (e.g. 60 for hourly cron).", "default": 0 }, "customFilters": { "title": "🔧 Custom Filters (advanced)", "type": "array", "description": "Array of rules applied to any output field. Each rule: {\"field\":\"\",\"op\":\"includes|notIncludes|equals|notEquals|gt|gte|lt|lte\",\"value\":...}. Example: [{\"field\":\"location\",\"op\":\"includes\",\"value\":\"Dublin\"}, {\"field\":\"description\",\"op\":\"notIncludes\",\"value\":\"php\"}, {\"field\":\"salaryMin\",\"op\":\"gte\",\"value\":50000}]." }, "includeDetails": { "title": "📋 Include Full Details", "type": "boolean", "description": "Fetch each job's detail page for full description, structured salary, company profile, and similar jobs. Slower but much richer data.", "default": true }, "descriptionFormat": { "title": "Description Format", "enum": [ "text", "html", "markdown", "all" ], "type": "string", "description": "Which description formats to include in output.", "default": "all" }, "maxResults": { "title": "💯 Max Results", "minimum": 0, "maximum": 10000, "type": "integer", "description": "Maximum total job listings to return. 0 = unlimited.", "default": 50 }, "maxPages": { "title": "📄 Max Pages", "minimum": 1, "maximum": 100, "type": "integer", "description": "Maximum SERP pages per search source (25 jobs/page). Auto-raised when needed to satisfy Max Results — you usually don't need to change this.", "default": 5 }, "compact": { "title": "📦 Compact Output", "type": "boolean", "description": "When true, each result contains only the most essential fields: jobId, title, company, location, salary, skills, url, description. Use in AI-agent and MCP workflows where token budgets matter.", "default": false }, "descriptionMaxLength": { "title": "✂️ Description Max Length", "minimum": 0, "maximum": 10000, "type": "integer", "description": "Truncate the description field to this many characters, appending '...' if truncated. 0 = no truncation. Pairs well with compact mode.", "default": 0 }, "excludeEmptyFields": { "title": "Exclude empty fields from output", "type": "boolean", "description": "Drop null, empty-string, and empty-array fields from each record before push. Smaller payloads for AI agents and dashboards.", "default": false }, "outputFields": { "title": "Output Fields", "type": "array", "description": "Select subset of output fields. Supports dot notation: 'locationDetail.city'. If empty: all fields returned." }, "datasetName": { "title": "Dataset Name", "type": "string", "description": "Custom dataset name. Supports masks: {DATE} = YYYYMMDD, {TIME} = HHMMSS" }, "incrementalMode": { "title": "♻️ Incremental Mode", "type": "boolean", "description": "Track changes between runs. Emits NEW, UPDATED, EXPIRED records. Requires stateKey.", "default": false }, "stateKey": { "title": "🔑 State Key", "type": "string", "description": "Optional stable identifier for the tracked search universe. Leave empty to auto-derive a stable identifier from your search inputs — different keyword/location/filter combinations get isolated state automatically." }, "emitUnchanged": { "title": "♻️ Emit Unchanged Records", "type": "boolean", "description": "In incremental mode, also emit records that haven't changed since last run.", "default": false }, "emitExpired": { "title": "⚰️ Emit Expired Records", "type": "boolean", "description": "In incremental mode, also emit records no longer found on the site.", "default": false }, "skipReposts": { "title": "🚫 Skip Reposts", "type": "boolean", "description": "Exclude listings detected as reposts of previously seen jobs.", "default": false }, "dedupStoreName": { "title": "Dedup Store Name", "type": "string", "description": "Named KV store for cross-run dedup. Same name across runs = only new jobs pushed." }, "dedupKey": { "title": "Dedup Key", "type": "string", "description": "Field used as unique key for dedup (default: jobId)", "default": "jobId" }, "proxyConfiguration": { "title": "🛡️ Proxy Configuration", "type": "object", "description": "Configure proxy settings. Default works for most use cases.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "IE" } }, "telegramToken": { "title": "🤖 Telegram Bot Token", "type": "string", "description": "Telegram bot token from @BotFather. Required for Telegram notifications." }, "telegramChatId": { "title": "💬 Telegram Chat ID", "type": "string", "description": "Telegram chat or channel ID where alerts are sent (e.g. \"-100123456789\" for a private group, or \"@yourchannel\")." }, "discordWebhookUrl": { "title": "🎮 Discord Webhook URL", "type": "string", "description": "Discord incoming webhook URL. Get one from Server Settings → Integrations → Webhooks." }, "slackWebhookUrl": { "title": "💼 Slack Webhook URL", "type": "string", "description": "Slack incoming webhook URL. Create at api.slack.com/messaging/webhooks." }, "whatsappPhoneNumberId": { "title": "📱 WhatsApp Phone Number ID", "type": "string", "description": "WhatsApp Business phone number ID from Meta Business Manager (NOT the phone number itself — the numeric ID shown next to your business number). Free service-conversation messages within 24 hours of last user-initiated contact." }, "whatsappAccessToken": { "title": "🔐 WhatsApp Access Token", "type": "string", "description": "Meta Cloud API access token with `whatsapp_business_messaging` scope. Get a permanent token from a system user in Meta Business Manager." }, "whatsappTo": { "title": "📨 WhatsApp Recipient", "type": "string", "description": "Recipient phone in E.164 format (e.g. +919876543210). Recipient must have messaged your business number within the last 24 hours — outside that window, free-form text is rejected by Meta." }, "webhookUrl": { "title": "🪝 Generic Webhook URL", "type": "string", "description": "Generic webhook URL that receives a JSON POST with the full job payload + run metadata. Universal escape hatch for n8n / Make / Zapier / your own backend." }, "webhookHeaders": { "title": "🔑 Webhook Headers", "type": "object", "description": "Optional headers (e.g. {\"Authorization\": \"Bearer xyz\"}) sent with the webhook POST." }, "notificationLimit": { "title": "📊 Max Jobs Per Notification", "minimum": 1, "maximum": 20, "type": "integer", "description": "Maximum number of jobs included in each notification message (1–20). Excess jobs are still in the dataset; notifications get a summary line.", "default": 5 }, "notifyOnlyChanges": { "title": "🔄 Notify Only New/Updated", "type": "boolean", "description": "When Incremental Mode is on, only send notifications for NEW / UPDATED / REAPPEARED jobs. Has no effect outside incremental mode.", "default": false }, "includeRunMetadata": { "title": "📣 Include Run Summary in Notifications", "type": "boolean", "description": "Prepend a one-line summary (query + total count) to each notification batch.", "default": 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 } } } } } } } } } } ```