Catho Jobs Scraper | Salary, Benefits & Company Intel

What does Catho Jobs Scraper do?

Extract job listings from Catho.com.br — Brazil's largest job board — with structured salary data (min/max/display), benefits lists, contract types, work schedules, remote flags, company intelligence and full descriptions in three formats. Run a keyword search, filter by city or state, or paste URLs directly. No code needed — get results as JSON, CSV, Excel or via the API, optimized for AI agents with compact output mode.

Give it a search keyword (e.g. analista, desenvolvedor) and, optionally, a location (e.g. Sao Paulo SP), and it returns every matching job as a structured record. For each job you get the title, company, a full location hierarchy (city, state, postal code), parsed salary values (min/max), benefits list, contract type, work schedule, remote flag, vacancy count and the company's description, industry, size and employee count. Turn on Fetch full details to also pull the job description in three formats (text, HTML, Markdown) and contact details extracted from the listing.

New to Apify? You can sign up for free and use the included monthly platform credit to try this Actor.

Why this scraper

• ⚡ Fast & low-cost — runs without a proxy at typical volumes, so large runs stay remarkably cheap.
• 🧾 Rich, typed records — 30+ structured fields per job listing, not raw HTML.
• ♻️ Cheap to monitor — incremental mode re-scrapes only what changed (see below).
• 🔔 Notifications built in — Telegram, Slack, Discord or any webhook.
• 🤖 AI- & API-ready — compact output, MCP-friendly, one-click integrations.

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Key features

• 🔍 Search or URL scraping — run a keyword + location search, or paste Catho search and detail-page URLs directly.
• 💰 Structured salary data — parsed salaryMin / salaryMax values plus the display string, ready for filtering and analysis without regex.
• 🎁 Benefits & perks — the full benefits list and count from every listing (Vale-transporte, Tiquete alimentacao and dozens more).
• 💼 Contract & schedule — contract type (CLT, PJ, freelance, etc.), work schedule text, remote flag and vacancy count.
• 🏢 Company intelligence — company description, industry, size tier and employee count for every employer.
• 📄 Full descriptions in 3 formats — plain text, HTML and Markdown, so you pick the one your pipeline needs.
• 🗺️ Location hierarchy — city, state, state code, country and postal code, not just a raw location string.
• 📇 Contacts & lead gen — emails, phones, URLs and social profiles extracted from job descriptions; filter with requireContact to keep only listings with contact details.
• ♻️ Incremental monitoring — schedule it and get only what changed (NEW / UPDATED / EXPIRED); unchanged items are skipped before their page is even fetched.
• 🔔 Notifications — Telegram, Slack, Discord or any webhook (n8n / Make / Zapier).
• 🤖 AI-ready — compact + drop-empty output modes keep payloads small for LLMs and MCP.

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How to scrape Catho

1. Open the actor and enter a search keyword (e.g. analista) and optionally a location (e.g. Sao Paulo SP) — or paste a Catho URL.
2. Set Max results and choose whether to fetch full details (salary breakdown, benefits, company info).
3. (Optional) Turn on incremental mode and a notification channel, then Schedule it.
4. Click Start.
5. Download the data as JSON, CSV or Excel, or pull it from the API.

New to Apify? Create a free account — it comes with monthly credit, no credit card required.

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Input

Configure it in the visual editor — no code needed — or pass JSON via the API.

Field	What it does
query	Keyword search — comma-separate for multiple searches, each de-duplicated.
location	City or state filter, e.g. Sao Paulo SP, Rio de Janeiro RJ.
startUrls	Scrape specific Catho search or detail-page URLs directly.
maxResults	Cap the number of records (default 25, 0 = unlimited).
includeDetails	Fetch each job's full page for salary breakdown, benefits, company info and more. On by default.
requireContact	Keep only listings with an email, phone or both — built-in lead-gen filter.
descriptionFormat	Which description format(s) to include: all, text, html or markdown.
compact	Return only core fields — ideal for AI agents and MCP clients.
excludeEmptyFields	Remove null/empty fields from each record for cleaner output.
incrementalMode	Emit only what changed since the last run (NEW / UPDATED / EXPIRED).

...and 23 inputs in total — the table shows the essentials; the rest cover notification channels (Telegram, Slack, Discord, webhooks), incremental tuning (stateKey, emitUnchanged, emitExpired) and advanced settings (proxy, retries), all in the visual editor.

Example inputs

{ "query": "analista", "location": "sao-paulo-sp", "maxResults": 100 }

{ "query": "desenvolvedor, engenheiro", "includeDetails": true }

{ "query": "gerente", "incrementalMode": true, "telegramChatId": "-100123456789" }

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Output

Each item in the dataset is one job. Every record includes the core fields; enabling Fetch full details (on by default) adds the description, benefits, salary breakdown, categories and company intelligence. Here's a full example record:

{
  "id": "38019680",
  "title": "Analista de Atendimento",
  "url": "https://www.catho.com.br/vagas/analista-de-atendimento/38019680",
  "company": "Riba Brasil",
  "location": "Belem",
  "city": "Belem",
  "state": "Para",
  "stateCode": "PA",
  "country": "Brasil",
  "postalCode": "66050-380",
  "salary": "R$ 2.524",
  "salaryDisplay": "A partir de R$ 2.000,00",
  "salaryMin": 2524.0,
  "salaryMax": null,
  "contractType": "CLT (Efetivo)",
  "workSchedule": "Segunda ate sexta-feira: 9h as 18h, com intervalo de almoco. Sabado: 9h as 13h.",
  "workType": null,
  "isRemote": false,
  "vacancies": 1,
  "description": "Conduzir o processo de atendimento B2C para locacao de motos eletricas. Oferecer o atendimento presencial com gentileza e eficiencia. Capturar, tratar e converter leads em clientes ativos ...",
  "benefits": ["Tiquete alimentacao", "Vale-transporte"],
  "benefitsCount": 2,
  "categories": ["Administracao", "Telemarketing", "Administracao"],
  "subcategories": ["Administrativo/ Operacional", "Atendimento ao Cliente/ Call Center/ Telemarketing", "Administrativa"],
  "careers": ["Analista de Atendimento"],
  "postedAt": "2026-08-18T18:29:20",
  "updatedAt": "2026-08-18T18:29:20",
  "expiresAt": "2026-11-16T18:29:20",
  "isSponsored": true,
  "companyDescription": "Consultoria em recursos humanos.",
  "companyIndustry": "Recursos Humanos",
  "companySize": "Small",
  "companyEmployeeCount": 2,
  "source": "catho.com.br",
  "scrapedAt": "2026-08-19T10:52:48.041128+00:00"
}

Each record can also include descriptionHtml and descriptionMarkdown — choose the format with the Description format input. When incremental mode is on, records carry a changeType field (NEW / UPDATED / EXPIRED).

Data fields

• Core — id, title, url, company, location, salary, contractType, source, scrapedAt.
• Salary breakdown — salary, salaryDisplay, salaryMin, salaryMax — parsed numeric values ready for filtering.
• Employment — contractType, workSchedule, workType, isRemote, vacancies.
• Location — city, state, stateCode, country, postalCode — full geographic hierarchy.
• Description — description, descriptionHtml, descriptionMarkdown — three formats from one fetch.
• Benefits & categories — benefits (list), benefitsCount, categories, subcategories, careers.
• Dates — postedAt, updatedAt, expiresAt, dateLabel, isSponsored.
• Company — companyDescription, companyIndustry, companySize, companyEmployeeCount.
• Contacts & signals — extractedEmails, extractedPhones, extractedUrls, socialProfiles.
• Tracking — searchKeyword, detailFetched, contentHash, changeType, isRepost, repostOfId, repostDetectedAt.

Every field is present in standard mode (missing values are null); compact mode returns the core fields only, for lean AI/MCP payloads. With excludeEmptyFields enabled, null/empty fields are omitted entirely.

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What can you do with Catho data?

• Lead generation — filter for listings with contact details (requireContact) and feed them straight into your CRM or outreach pipeline.
• Market & salary research — analyze salary ranges, benefits and contract types across roles, cities and industries in the Brazilian job market.
• Vacancy monitoring — schedule it with incremental mode + notifications for a live feed of new, updated and expired positions.
• Competitive hiring intel — track which companies are hiring, what they offer, and how their packages compare over time.
• Enrichment & aggregation — feed clean, structured job data into your own app, spreadsheet or data warehouse.
• AI agents & pipelines — compact output plugs straight into LLM/MCP workflows for automated analysis.

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Incremental monitoring — pay for changes, not repeats

Schedule the actor and turn on incremental mode: each run compares against the last and emits only NEW / UPDATED / EXPIRED records — unchanged items are skipped before their detail page is fetched, so a daily watch costs a fraction of a full re-scrape.

Daily churn	of 1,000 tracked	billable records	you save
5 %	1,000	50	95 %
15 %	1,000	150	85 %
30 %	1,000	300	70 %

The first run seeds the baseline and bills in full; every run after that bills only the delta.

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Pricing

This Actor uses the pay-per-event pricing model: a small fee at run start plus a per-record fee. It runs on plain HTTP (no headless browser), so the underlying platform cost is a fraction of a cent per run.

See the Actor's Pricing tab for exact current prices.

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Integrations & export

Export to JSON, CSV, Excel or an HTML table, or pull from the REST API and the JavaScript / Python clients. Runs on a schedule, connects to Google Sheets, Slack, Make, Zapier and n8n, and works as an MCP tool for AI agents — compact mode keeps token usage small.

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Using the API

You can run this Actor from your own code. Example with the Apify Python client:

from apify_client import ApifyClient

client = ApifyClient("<YOUR_API_TOKEN>")

run_input = {
    "query": "analista",
    "location": "sao-paulo-sp",
    "maxResults": 50,
}

run = client.actor("corvuslab/catho-scraper").call(run_input=run_input)

print("Results: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

The Actor also works with the JavaScript/TypeScript client, the Apify CLI and the REST API.

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FAQ

Do I need a proxy or login? No — the scraper runs out of the box without a proxy or any credentials; Apify Proxy is available under Advanced for high-volume runs.

Can I get only new jobs on a schedule? Yes — turn on incremental mode and schedule it; each run emits only what changed and can notify your channel automatically.

What formats can I export? JSON, CSV, Excel, HTML table, or via the API.

Can I filter by location? Yes — enter a city and state (e.g. Sao Paulo SP, Rio de Janeiro RJ, Campinas SP) and results are scoped to that area.

How do I get salary data? Enable Fetch full details (on by default). Each record includes salary, salaryDisplay, salaryMin and salaryMax.

Is it good for AI agents? Yes — enable compact mode; the output is small, structured and MCP-friendly.

How many records can I get? As many as Catho has for your search — set maxResults to 0 for unlimited.

Can it notify me when new jobs appear? Yes — add a Telegram, Slack, Discord or generic webhook target under Notifications, and combine with incremental mode so you only get pinged about new and updated jobs.

Is scraping Catho legal? This actor collects only publicly available data on Catho.com.br. You are responsible for how you use the extracted data — in particular any personal information — and for complying with the site's terms and applicable law (including Brazil's LGPD and the GDPR where they apply). Not affiliated with, endorsed by, or sponsored by Catho or Seek Limited.

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