Emprego SAPO Scraper - Portugal Jobs

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What does Emprego SAPO Scraper do?

Emprego SAPO Scraper extracts structured job data from emprego.sapo.pt — including salary data, company metadata, and full descriptions. 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 and company metadata) where the source provides them.

New to Apify? Sign up free 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 Emprego jobs" pings to your hiring channel.
• 🔗 Paste-mode — paste any emprego.sapo.pt 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.
• 📋 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.
• 📦 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.
• ✂️ Description truncation — cap description length with descriptionMaxLength to control LLM prompt cost and dataset size — set 0 for full descriptions, or any char-limit to trim.
• 📤 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, …).
• 🔌 MCP connectors — export your results into Notion via Apify's MCP connectors — a clean run-summary page, no glue code. Opt-in via the App connector field; deterministic field-mapping, no AI. Built on Apify's connector framework, so more destinations open up as their catalog grows.

What data can you extract from emprego.sapo.pt?

Each result includes Core listing fields (jobId, jobKey, title, pitch, location, district, municipality, and country, and more), detail fields when enrichment is enabled (description, descriptionText, descriptionHtml, descriptionMarkdown, and detailFetched), 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 and company metadata 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. Leave empty to return all listings.
• location — Portuguese district slug to filter by (e.g. lisboa, porto, braga, setubal). Leave empty for all districts.
• startUrls — Paste raw search URLs from emprego.sapo.pt — each URL becomes its own search task; results are merged and deduped by JobId across all tasks. Recognized format: https://emprego.sapo.pt/empregos?keywords=...&location=... Use as alternative to (or alongside) the query/location fields.
• workHours — Filter by work hours type. (default: "")
• sortOrder — Order in which to return results. (default: "mais-recentes")
• daysOld — Only return jobs published within the last N days. 0 = no limit. (default: 0)
• maxResults — Maximum total results (0 = unlimited, up to 9999). (default: 25)
• includeDetails — Fetch full job details from each listing page (full description, validThrough, educationLevel, experienceLevel). Doubles request count. (default: true)
• descriptionMaxLength — Truncate description to N characters. 0 = no truncation. (default: 0)
• compact — Return only core fields (jobId, title, company, location, salary, url, postedAt). (default: false)
• incrementalMode — Only emit NEW, UPDATED, and EXPIRED jobs relative to a prior run. Requires stateKey. (default: false)
• stateKey — 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.
• ...and 18 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.

{
"query":"software engineer",
"maxResults":50
}

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.

{
"query":"software engineer",
"maxResults":200,
"incrementalMode":true,
"stateKey":"software-engineer-tracker"
}

Compact output for AI agents — Return only core fields for AI-agent and MCP workflows.

→ Small payload with the most important fields — ideal for piping into LLMs without token overhead.

{
"query":"software engineer",
"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

{
"jobId":"fc605394237ba236b0f739b8ac6eab02ed79ab22b044d776daa33bbe86531409",
"jobKey":"30d53bfc-7fc1-4c6e-b7b0-7c289c16ae14",
"title":"Comercial (m/f) - Distrito de Setúbal -ID: 26000944",
"pitch":null,
"company":"Prosegur Alarmes Dissuasão Portugal, Unipessoal, Lda.",
"companyId":"88c6b307-bad6-4a27-83b8-177117bf67a2",
"companyLogo":"V2:nTftFtW/cnt5A/yoI9QHKU967Vfk7YqAjEdzRfmu+TF/BHModEwAUQus02Fazi3VbiOQ1aP3ukpLzVJtM+gXHnIZ3Z+Xeyf5QvZDEd5/O35KoCgNJ+B6wpJ3SHQ8Fs5R",
"companyUrl":"https://emprego.sapo.pt/offers/company/prosegur-alarmes-dissuasao-portugal-unipessoal-lda?id=88c6b307-bad6-4a27-83b8-177117bf67a2",
"location":"Setúbal",
"district":"Setúbal",
"municipality":null,
"country":"Portugal",
"description":"A Prosegur Alarms, empresa líder em soluções de segurança para residências e empresas, procura reforçar a sua equipa comercial. Procuramos profissionais dinâmicos e motivados para desenvolver e gerir...",
"descriptionText":"A Prosegur Alarms, empresa líder em soluções de segurança para residências e empresas, procura reforçar a sua equipa comercial. Procuramos profissionais dinâmicos e motivados para desenvolver e gerir...",
"descriptionHtml":"A Prosegur Alarms, empresa líder em soluções de segurança para residências e empresas, procura reforçar a sua equipa comercial. Procuramos profissionais dinâmicos e motivados para desenvolver e gerir...",
"descriptionMarkdown":"A Prosegur Alarms, empresa líder em soluções de segurança para residências e empresas, procura reforçar a sua equipa comercial. Procuramos profissionais dinâmicos e motivados para desenvolver e gerir...",
"industry":null,
"salaryCurrency":null,
"employmentType":"Full-Time",
"workModel":null,
"publishedAge":"last_day",
"postedAt":"2026-04-10",
"validThrough":null,
"experienceLevel":null,
"educationLevel":null,
"isHighlighted":true,
"canonical":"comercial-mf-distrito-de-setubal-id-26000944",
"url":"https://emprego.sapo.pt/offers/comercial-mf-distrito-de-setubal-id-26000944?id=30d53bfc-7fc1-4c6e-b7b0-7c289c16ae14",
"portalUrl":"https://emprego.sapo.pt/offers/comercial-mf-distrito-de-setubal-id-26000944?id=30d53bfc-7fc1-4c6e-b7b0-7c289c16ae14",
"contentHash":null,
"searchQuery":"",
"contentQuality":"serp_only",
"detailFetched":false,
"scrapedAt":"2026-04-12T21:17:14.833Z",
"source":"emprego.sapo.pt",
"changeType":"NEW"
}

Incremental fields

When incremental mode is on, 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.
• 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 emprego.sapo.pt

1. Go to Emprego SAPO Scraper 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, 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 emprego.sapo.pt 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.
• Research company hiring patterns, employer profiles, and industry distribution.
• Feed structured data into AI agents, MCP tools, and automated pipelines using compact mode.
• Export clean, structured data to dashboards, spreadsheets, or data warehouses.

How much does it cost to scrape emprego.sapo.pt?

Emprego SAPO Scraper uses 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
• 25 results: $0.042
• 100 results: $0.15
• 200 results: $0.3
• 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: 100 results per run, daily polling (30 runs/month). Event-pricing examples scale linearly with result count.

Full re-scrape monthly cost at daily polling: $4.65. First month with incremental costs $0.52 / $0.95 / $1.60 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 emprego.sapo.pt?

The number of results depends on the search query and available listings on emprego.sapo.pt. Use the maxResults parameter to control how many results are returned per run.

Does Emprego SAPO 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 Emprego SAPO Scraper with other apps?

Yes. Emprego SAPO Scraper works with Apify's integrations 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 Emprego SAPO Scraper with the Apify API?

Yes. You can start runs, manage inputs, and retrieve results programmatically through the Apify API. Client libraries are available for JavaScript, Python, and other languages.

Can I use Emprego SAPO Scraper through an MCP Server?

Yes. Apify provides an MCP Server that lets AI assistants and agents call this actor directly. Use compact mode, descriptionMaxLength, a single descriptionFormat, and excludeEmptyFields to keep payloads manageable for LLM context windows.

Is it legal to scrape emprego.sapo.pt?

This actor extracts publicly available data from emprego.sapo.pt. 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 on the actor's page in Apify Console. Your feedback helps us improve.

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Getting started with Apify

New to Apify? Create a free account with $5 credit — 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.