LATAM Jobs & Hiring Signals: Gupy, InfoJobs, Catho, Computrabajo, Bumeran, OCC + the company registry

By LatSouth. Search job postings on Gupy, Brazil's largest ATS portal (about 80,000 open postings from thousands of companies), and get each posting normalized plus the hiring company's record from the official Brazilian company registry: CNPJ, legal name, size (porte), CNAE activity, HTTP-verified website, with the match method and a confidence score. Or switch to hiring_companies mode and get one row per company that is hiring: open jobs, areas, seniority, locations and latest posting, which is a ready-made hiring-intent signal for B2B prospecting.

Also in the same run and the same output: InfoJobs Brasil and Catho (Brazil), Computrabajo (Mexico, Colombia, Argentina, Peru, Chile), Bumeran (Argentina, Peru, Mexico) and OCC Mundial (Mexico), each joined to that country's registry.

Single-board scrapers give you the posting. This actor also tells you which legal entity is hiring, so you can join postings to your CRM, size the company and filter by industry.

Boards	Gupy, InfoJobs, Catho (Brazil) · Computrabajo (Mexico, Colombia, Argentina, Peru, Chile) · Bumeran (Argentina, Peru, Mexico) · OCC Mundial (Mexico)
Registry	Receita Federal CNPJ open data (10.9M establishments) via the LatSouth registry release
Price	US$0.002 per posting (job-result) · US$0.008 per hiring company (company-result)
Typical run	200 postings from 143 companies in 2.3 min; 52 hiring companies (300 postings scanned) in 53 s

Use cases

• Hiring-intent prospecting: companies opening data, sales or engineering roles this week, with CNPJ, size and activity, ready for outbound or account scoring.
• Recruiting and HR-tech market maps: who hires what, where, remote vs on-site, by seniority and contract type.
• Labour-market research: postings by state, city, area and contract type, deduplicated across keywords.

Input examples

Data jobs, remote, last 7 days

{"keywords": ["analista de dados", "engenheiro de dados"], "workplace_types": ["remote"], "posted_within_days": 7,
 "max_results": 200}

Who is hiring sales people in São Paulo state (one row per company)

{"mode": "hiring_companies", "keywords": ["vendas", "sdr", "executivo de contas"], "state": "SP",
 "max_jobs_scanned": 2000, "max_results": 300}

Field	What it does
mode	jobs (default): one row per posting. hiring_companies: postings grouped by company.
keywords	One search per keyword (Gupy searches job titles); results are deduplicated. Empty = newest postings.
sources	gupy, infojobs, catho, computrabajo_mx, computrabajo_co, computrabajo_ar, computrabajo_pe, computrabajo_cl, bumeran_ar, bumeran_pe, bumeran_mx, occ (max_results is split evenly across boards, a board with fewer postings leaves its share to the others; no keyword = newest postings of each board)
workplace_types	remote, hybrid, onsite (empty = all)
state, city	Brazilian UF (SP or São Paulo) and city
posted_within_days	Only postings published in the last N days
max_results	Rows to return (postings or companies); you pay per row. Default 25: an empty input {} returns 25 postings (about US$0.05), each with the hiring company's registry match in company; company rows (company-result) come only in hiring_companies mode
max_jobs_scanned	hiring_companies mode: postings read before grouping (default 1,000; scanning is free)
enrich	Registry join (default true)
include_description	First 600 characters of the description, HTML removed, e-mails and phone numbers scrubbed
proxyConfiguration	Optional Apify Proxy (default off: direct requests), datacenter only: a RESIDENTIAL group or custom proxy URLs are rejected ("only Apify datacenter proxy is supported"). For IP location and spreading the request rate only: same headers, same pacing, no captcha or bot-challenge solving

Output

Posting row (jobs mode): board, job_id, url, title, company_name (as shown on the board), company_board_id (career-page subdomain), company_website (as declared by the company on its career page), company_open_jobs_on_board, city, state, state_code, workplace_type, contract_type (employee, contractor (PJ), internship, apprentice, temporary, trainee, talent_pool, ...) + contract_type_raw, seniority (from the title only: intern ... director, null when the title does not say), department, published_at, deadline, salary_min / salary_max / salary_currency / salary_text (only when the posting labels a salary), description, accepts_pwd, scraped_at, and company.

Company row (hiring_companies mode): company_name, career_page_url, company_website, linkedin_url, n_open_jobs (in this scan), company_open_jobs_on_board (all open jobs on its career page), titles_sample, departments, seniority_mix, workplace_mix, contract_mix, locations, most_recent_posting_at, oldest_posting_at, job_urls_sample, and company. Sorted by open jobs, then latest posting.

company block (both modes; CSV/Excel exports flatten it to company.* columns):

Field	Meaning
match_status	matched, low_confidence (a registry record is returned but its name does not agree with the board name: verify), ambiguous (several registry companies fit; see candidate_tax_ids), not_found, skipped
match_method	domain_site (the company's HTTP-verified website), domain_email (its registered corporate e-mail domain), parent_domain_*, domain_name (shared domain, the name singles one out), domain_dominant (shared domain, one company runs most establishments on it), name_exact (no website: exact legal/trade name held by exactly one company; only when the name index is published)
match_confidence	0 to 1; matched means ≥ 0.6
match_note	Why it matched or did not
board_website, matched_domain, candidate_tax_ids	Evidence used
matched_establishment	Brazil: when the evidence pointed to a branch (CNPJ ordem ≠ 0001), the block describes the head office of the same CNPJ root and this field keeps the branch (tax_id, tax_id_formatted, city, region)
tax_id, tax_id_formatted, legal_name, trade_name, legal_form, is_headquarters, is_active, status	Registry identity
activity_code_local, activity_label_local (CNAE), activity_label_en, isic_*	Activity
size_bracket (porte: ME, EPP, DEMAIS), size_class, employees_bracket	Size
region, region_name, city, website, website_verified, registration_date	Location and web
data_as_of, source, source_license	Registry release and official credit

How the registry match works (and why it is honest)

1. The company's own declared website (Gupy career page, social-links section) is looked up against the registry's HTTP-verified websites and registered corporate e-mail domains (exact domain first, then the parent domain).
2. When several registry companies use that domain (corporate groups, dealers, accountants), the actor picks one only if it is the single one whose verified website it is, the single one whose name agrees with the board name, or the one running most establishments on the domain; otherwise the row is ambiguous with the candidates.
3. A registry name that shares nothing with the board name lowers the confidence below 0.6 (low_confidence): a dealer that registered the brand's domain is never sold as the brand.
4. Institutes, associations, funds and project companies (SPE) never win a name comparison unless the board name says so.
5. No tax ID is ever derived from a name without a score; masked (person-named) registry rows never match.
6. Without a usable website, the exact legal or trade name is looked up in a name index (employer legal forms only: no non-profits, condominiums, funds or public bodies) and accepted only when one company holds it (name_exact, 0.6; one-word names stay low_confidence).
7. A Brazilian match on a branch returns the head office of the same CNPJ root (matched_establishment keeps the branch).

Measured on fresh samples (2026-11-04), with the name index: Gupy 438 postings / 249 companies: 41% of companies (101) and 44% of postings match with confidence ≥ 0.6 (domain only: 35% / 40%); a hand check of 40 random matches found 39 right and 1 doubtful. Computrabajo 550 postings: 59% confidential; of the named ones 29% of postings (30% of companies) match by exact name; hand check 40/40 consistent. InfoJobs 250 postings: 53% confidential; 50% of named companies match (domain from the company page, else name), 29/30 right. Catho 250: 22% confidential, 29% of named companies match by name, 30/30. Bumeran 300 (100 per country): 11% confidential; 27% (AR), 39% (PE), 3% (MX) of named companies match by name, 30/30. OCC 250: 13% confidential, 37% of named companies match by name, 29/30. Large groups that register their CNPJs with an accountant's e-mail are the main miss.

Pricing

Pay per event, charged per output row:

Event	When	Price
job-result	one posting row (jobs mode), whatever the match status	US$0.002
company-result	one hiring-company row (hiring_companies mode)	US$0.008

1,000 postings cost US$2.00; 300 hiring companies cost US$2.40. Set a maximum cost per run and the actor stops when it is reached (OUTPUT.stopped_by_budget).

Never charged for a broken run. If a board blocks the run or changed its layout (its first page cannot be read and is not the board's own "no results" page), OUTPUT.boards says so per board; when that leaves the run without any posting, the run fails with the board's name and nothing is charged. With several boards, the others are delivered and the status message carries a warning. With enrich: true (default) and the company registry unreachable, the run fails before reading any board; rows without the registry match are only returned when you set enrich: false. In jobs mode rows are pushed as they are ready (the first ones after the first search page), and both modes end the scan early near the run timeout, so a long run delivers what it found.

Sources and attribution

Postings: Gupy public job portal (portal.gupy.io) and the companies' public career pages, and the public listing pages of InfoJobs Brasil, Catho, Computrabajo, Bumeran and OCC Mundial; each row links to the posting (url). Registry: Receita Federal do Brasil, Dados Abertos CNPJ, credited in company.source / company.source_license; keep them when you publish the data.

Limitations

• Gupy's search returns at most 10,000 postings per query (offset window): split wide searches by keyword, state or workplace type.
• Computrabajo: list pages only (title, company, city/state, workplace, salary when published, date from the relative label, so published_at is approximate); no description, contract type or department. About 66% of Computrabajo postings are confidential ("Importante empresa del sector"): company_name is null, the company block says so, and they are left out of hiring_companies. Computrabajo shows no company website, so its registry match is by exact name only and stays off until the name index is published (match_note says so).
• InfoJobs Brasil: list cards + one company page per company (declared website, size, sector); about half of the postings are confidential. Catho: list cards only; the city is shown without the state, so state filters do not apply; dates are "published" or "updated" days. Bumeran: the board's own search API (100 postings per request); no salary; Mexico rarely matches (DENUE names establishments). OCC Mundial: list pages only (offer pages are never requested); no description or workplace type.
• Employers whose name is a private person's name (sole traders) are returned like confidential postings: no name, no match (match_note says so).
• Mexico's registry (INEGI DENUE) publishes no RFC: for Mexican matches tax_id is the DENUE establishment id.
• seniority comes from the title; salary_* only when the posting labels a salary (about 2% of Gupy postings).
• Registry match needs the company's website; companies without one stay not_found unless the name index is enabled.
• Posting text is the company's own; descriptions are truncated to 600 characters.

Privacy

Company data only. No recruiter or candidate data is collected; e-mail addresses, phone numbers and CPF numbers are removed from descriptions before output. You are responsible for lawful use (LGPD) and for honouring opt-out requests (hello@latsouth.com). LatSouth, São Paulo, Brazil.

Related

Brazil Company Finder (search companies by CNAE, city, size) · LATAM Company Enrichment (tax ID / domain lookup in 7 countries) · data files: https://latsouth.com/products/

Português

Resumo

Vagas da Gupy (maior ATS do Brasil, ~80 mil vagas abertas) normalizadas e cruzadas com o cadastro oficial de CNPJ: CNPJ, razão social, porte, CNAE, site verificado, com método de match e nota de confiança. No modo hiring_companies, uma linha por empresa contratando (vagas abertas, áreas, senioridade, locais, vaga mais recente): sinal de intenção de contratação para prospecção B2B. Também InfoJobs Brasil e Catho (Brasil), Computrabajo (México, Colômbia, Argentina, Peru, Chile), Bumeran (Argentina, Peru, México) e OCC Mundial (México), cada um cruzado com o registro do país; vagas confidenciais saem sem nome e sem match.

Exemplos

{"keywords": ["analista de dados"], "workplace_types": ["remote"], "posted_within_days": 7, "max_results": 200}

{"mode": "hiring_companies", "keywords": ["vendas", "sdr"], "state": "SP", "max_jobs_scanned": 2000, "max_results": 300}

Campos

• Vaga: título, empresa (como aparece na Gupy), site declarado pela empresa, cidade/UF, modelo (remoto, híbrido, presencial), tipo de contrato (CLT, PJ, estágio, aprendiz, temporário...), senioridade (pelo título), departamento, data de publicação, prazo, salário (só quando a vaga informa), descrição curta sem e-mails/telefones.
• Bloco company: match_status (matched, low_confidence, ambiguous, not_found), match_method, match_confidence (0 a 1), CNPJ formatado, razão social, nome fantasia, porte, CNAE, situação, cidade, site verificado, data do cadastro, fonte (Receita Federal).

Como o match funciona

Pelo site que a própria empresa declara na página de carreiras, comparado aos sites verificados e domínios de e-mail corporativo do cadastro. Domínio compartilhado por várias empresas só vira match se uma delas for a dona do site verificado, se o nome bater, ou se ela concentrar a maioria dos estabelecimentos; senão ambiguous com os candidatos. Nome que não bate derruba a confiança (low_confidence). Sem site, nome exato (só formas de empregador) quando uma única empresa o tem. Match em filial devolve a matriz da mesma raiz CNPJ (matched_establishment guarda a filial). Medido em 438 vagas Gupy (249 empresas): 41% das empresas e 44% das vagas com match ≥ 0,6 (revisão manual: 39 de 40 corretos).

Preço

US$0,002 por vaga (job-result) e US$0,008 por empresa (company-result). Defina um custo máximo por execução e o actor para ao atingi-lo. Board bloqueado ou com layout alterado sem nenhuma vaga lida = execução falha com o nome do board e nada é cobrado; cadastro de empresas fora do ar com enrich: true = falha antes de ler os boards.

Privacidade e LGPD

Só dados de empresa. Nenhum dado de recrutador ou candidato; e-mails, telefones e CPFs são removidos das descrições. Uso conforme a LGPD é responsabilidade do usuário; pedidos de exclusão: hello@latsouth.com.