Pricing

from $1.00 / 1,000 results

Bumeran Scraper — LATAM Jobs across 7 Countries & 8 Brands

Scrape Bumeran Group's job boards across LATAM — Argentina (bumeran.com.ar + zonajobs), Chile (laborum), Ecuador (multitrabajos), Mexico, Panama (konzerta), Peru, Venezuela. Work modality, contract type, and incremental tracking.

Pricing

from $1.00 / 1,000 results

Rating

0.0

(0)

Developer

Black Falcon Data

Actor stats

Bookmarked

Total users

Monthly active users

32 minutes ago

Last modified

0.1.x — 2026-04-14

Added: descriptionHtml, descriptionMarkdown output fields (triple-format descriptions for RAG/LLM pipelines)
Added: contentHash output field (SHA-256 fingerprint of content-identifying fields)

0.1.x — 2026-04-14

Added: cross-run repost detection (isRepost, repostOfId, repostDetectedAt)
Added: skipReposts input to exclude detected reposts from output

0.1.1 — 2026-04-05

Multi-query support: pass a JSON array (e.g. ["analista","desarrollador"]) for the query and location fields to search multiple terms in one run
Raised maxResults limit to 5000 (previously 1000)

0.1.0 — 2026-04-04

Initial release.

Search jobs across 8 LATAM markets: Argentina, Peru, Mexico, Venezuela, Chile, Ecuador, Panama, and Zona Jobs (Argentina)
Optional detail enrichment: full job description, seniority level, contract type, work modality, job area/sub-area
Company profile: industry, size range, and description from employer listings
Incremental monitoring mode: track new, changed, and expired listings across runs
Compact output mode for lightweight integrations

Bumeran Jobs Scraper

shahidirfan/bumeran-jobs-scraper

Scrape job listings from Bumeran in seconds. Extract job titles, descriptions, salaries, companies & locations automatically. Perfect for job boards, market research & recruitment automation. Save hours on manual data collection.

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Scrape job listings from Indeed.com across 7 countries. Extract job titles, company names, locations, salary ranges, job types, full descriptions, posting dates, and benefits. Filter by date posted, job type, and location for targeted recruitment data.