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Bumeran Scraper — LATAM Job Listings

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Bumeran Scraper — LATAM Job Listings

Bumeran Scraper — LATAM Job Listings

Scrape bumeran.com.ar — the largest job board across 8 LATAM countries. Work modality, contract type, and incremental change tracking. Covers Argentina, Peru, Mexico, Venezuela, Chile, Ecuador, Panama, and more. Compact output for AI agents and MCP workflows.

Pricing

from $1.00 / 1,000 results

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Developer

Black Falcon Data

Black Falcon Data

Maintained by Community

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1

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7 hours ago

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What does Bumeran Scraper do?

Bumeran Scraper extracts structured job data from bumeran.com and its 7 sister brands across 8 LATAM countries — including full job descriptions, contract type, work modality, seniority level, and company metadata. It supports keyword search, location filters, and controllable result limits across Argentina, Peru, Mexico, Venezuela, Chile, Ecuador, and Panama. The actor also offers incremental monitoring that only returns new or changed results on recurring runs and a compact output mode for AI-agent and MCP workflows.

What data can you extract from bumeran.com?

Each result includes Core listing fields (jobId, jobKey, canonicalUrl, portalUrl, title, location, salaryText, and employmentType, and more), detail fields when enrichment is enabled (description, descriptionLength, and detailFetched), and company metadata (company, companyId, companyLogo, and companyIndustry). 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 (e.g. "developer", "analista"). Use JSON array for multiple queries.
  • country — Which LATAM market to search. Each country uses the local brand. (default: "AR")
  • location — City or province filter (e.g. "Buenos Aires", "Lima"). Use JSON array for multiple.
  • sort — Sort results by relevance or date. (default: "RELEVANTES")
  • maxResults — Maximum total job listings to return (0 = unlimited). (default: 50)
  • includeDetails — Include full job description text (returned inline by the API at no extra cost). (default: true)
  • descriptionMaxLength — Truncate description to this many characters. 0 = no truncation. (default: 0)
  • compact — Output only core fields (for AI-agent/MCP workflows). (default: false)
  • incrementalMode — Compare against previous run state. Requires stateKey. (default: false)
  • stateKey — Stable identifier for the tracked search universe (e.g. "ar-developer").
  • emitUnchanged — When incremental, also emit records that haven't changed. (default: false)
  • emitExpired — When incremental, also emit records no longer found. (default: false)

Input example

{
"query": "developer",
"country": "AR",
"sort": "RELEVANTES",
"maxResults": 20,
"includeDetails": true,
"descriptionMaxLength": 0,
"compact": false,
"incrementalMode": false,
"emitUnchanged": false,
"emitExpired": false
}

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": "fbe241ae3480b433450b0aa208cba8bbc8bf12987b944eec9e13822ccc944dc3",
"jobKey": "1118203859",
"canonicalUrl": "https://www.bumeran.com.ar/empleos/analista-de-packaging-management-select-hr-s.r.l.-1118203859.html",
"portalUrl": "https://www.bumeran.com.ar/empleos/analista-de-packaging-management-select-hr-s.r.l.-1118203859.html",
"title": "Analista de Packaging",
"company": "MANAGEMENT-SELECT HR S.R.L.",
"companyId": "10153879",
"companyLogo": "https://imgbum.jobscdn.com/portal/img/empresas/1/static/logoMainPic_10153879_bum_vae59f908.jpg",
"location": "Capital Federal, Buenos Aires",
"description": "<p>Para importante compañía estamos en la búsqueda de un <strong>Analista en Packaging.</strong></p><p><strong>Misión del puesto:</strong></p><p>Diseñar, validar e implementar el embalaje primario y s...",
"descriptionLength": 2912,
"salaryText": null,
"employmentType": "Full-time",
"contractType": "Indeterminado",
"workModality": "Híbrido",
"seniorityLevel": "Senior",
"jobArea": "Diseño",
"jobSubArea": "Diseño Gráfico",
"vacancies": 1,
"isDisabilityFriendly": false,
"companyIndustry": "Consultoría",
"companySize": "Entre 11 y 50",
"companyDescription": "Es una empresa dedicada al servicio personalizado de selección y búsqueda directa a nivel nacional e Internacional, para identificar, captar y retener los profesionales requeridos para los puestos cla...",
"postedDate": "2026-04-04T21:58:49",
"expiresDate": "2026-06-03",
"sourceCountry": "AR",
"sourceDomain": "www.bumeran.com.ar",
"searchQuery": "analista",
"isSponsored": false,
"isConfidential": false,
"detailFetched": true,
"scrapedAt": "2026-04-05T11:27:40.912Z",
"changeType": null,
"trackedHash": null,
"firstSeenAt": null,
"lastSeenAt": null,
"previousSeenAt": null,
"expiredAt": null,
"stateKey": null
}

How to scrape bumeran.com

  1. Go to Bumeran 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, contact info, or 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 bumeran.com for market research and competitive analysis.
  • Track hiring trends and demand by role, category, and region 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 bumeran.com?

Bumeran 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: $0.0005 per run
  • Per result: $0.001 per job record

Example costs:

  • 10 results: $0.01
  • 100 results: $0.1
  • 500 results: $0.5

Incremental runs only charge for new or changed results, making recurring monitoring cost-efficient.

FAQ

How many results can I get from bumeran.com?

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

Does Bumeran 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 Bumeran Scraper with other apps?

Yes. Bumeran 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 Bumeran 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 Bumeran Scraper through an MCP Server?

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

This actor extracts publicly available data from bumeran.com. 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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