Computrabajo salaries by country and job title, November 2026, with the Python to get them

#datascience #jobs #webscraping #python

Monthly pay shown in public job listings on Computrabajo, read on 2026-11-09: 6 job titles in 6 countries, 2,149 listings counted and 1,013 salaries used. Figures are monthly and in each country's own currency (Ecuador uses US dollars).

The full table as CSV: https://voidd0.github.io/data/computrabajo-salaries-2026-11/computrabajo-salaries-2026-11.csv

Accountant (contador)

Country	Currency	Listings on the site	Salaries used	25th percentile	Median	75th percentile
Mexico	MXN	8,507	68	18,000	20,000	25,000
Colombia	COP	4,309	39	2,725,000	3,200,000	5,000,000
Peru	PEN	2,860	8	2,450	2,750	3,000
Argentina	ARS	830	11	1,200,000	1,500,000	2,100,000
Chile	CLP	1,491	32	650,000	950,000	1,212,500
Ecuador	USD	89	5	700	900	900

Salesperson (vendedor)

Country	Currency	Listings on the site	Salaries used	25th percentile	Median	75th percentile
Mexico	MXN	36,339	75	9,582	10,962	13,000
Colombia	COP	19,925	26	1,750,905	1,750,928	2,091,666
Peru	PEN	16,929	34	1,130	1,265	1,800
Argentina	ARS	4,212	32	715,000	825,000	1,025,000
Chile	CLP	14,961	35	590,000	724,000	850,000
Ecuador	USD	398	42	482	482	500

Software developer (desarrollador)

Country	Currency	Listings on the site	Salaries used	25th percentile	Median	75th percentile
Mexico	MXN	1,797	50	20,000	34,500	40,000
Colombia	COP	832	66	2,500,000	3,350,000	5,000,000
Peru	PEN	856	26	1,550	3,000	5,250
Argentina	ARS	367	1	too few	too few	too few
Chile	CLP	605	15	1,500,000	2,000,000	2,290,000
Ecuador	USD	28	5	400	800	950

Administrative assistant (auxiliar administrativo)

Country	Currency	Listings on the site	Salaries used	25th percentile	Median	75th percentile
Mexico	MXN	4,331	76	10,375	11,635	13,294
Colombia	COP	4,125	68	1,750,905	1,763,500	2,000,000
Peru	PEN	2,213	26	1,208	1,350	1,500
Argentina	ARS	281	3	too few	too few	too few
Chile	CLP	1,255	29	729,999	730,000	730,000
Ecuador	USD	39	2	too few	too few	too few

Industrial engineer (ingeniero industrial)

Country	Currency	Listings on the site	Salaries used	25th percentile	Median	75th percentile
Mexico	MXN	1,219	33	13,600	15,000	18,600
Colombia	COP	1,040	39	2,500,000	3,000,000	4,300,000
Peru	PEN	921	7	2,000	2,500	3,300
Argentina	ARS	261	1	too few	too few	too few
Chile	CLP	1,194	8	1,550,000	1,700,000	1,900,000
Ecuador	USD	12	1	too few	too few	too few

Data analyst (analista de datos)

Country	Currency	Listings on the site	Salaries used	25th percentile	Median	75th percentile
Mexico	MXN	2,038	66	10,800	15,000	18,000
Colombia	COP	1,488	54	2,612,500	3,137,800	4,000,000
Peru	PEN	1,190	12	1,750	3,135	3,850
Argentina	ARS	366	0	too few	too few	too few
Chile	CLP	789	17	950,000	950,000	1,500,000
Ecuador	USD	25	1	too few	too few	too few

How the figures were read

One search per job title and country on that country's Computrabajo site, up to 100 listings whose title contains the job title (a search for vendedor also returns other jobs; those are not counted).
Only salaries shown in the listing count. Yearly, two week and weekly pay is converted to a month; daily or hourly pay and salaries without a period are left out.
Placeholder figures (like 1,111,111 or 123,456) and values more than 5 times away from the median are left out.
A cell needs at least 5 salaries; with fewer it shows "too few".
Only public listing pages were read, with robots.txt obeyed. No contact data and no names of people are kept.

Get the same data with Python

from apify_client import ApifyClient
import pandas as pd

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("v0iddo/computrabajo-scraper").call(run_input={
    "keywords": ["contador"],
    "countries": ["mx", "co", "pe"],
    "salaryOnly": True,
    "maxItems": 300,
})
df = pd.DataFrame(client.dataset(run["defaultDatasetId"]).iterate_items())
monthly = df[df["salaryInterval"] == "month"]
# median monthly pay per country, November 2026
print(monthly.groupby(["countryCode", "salaryCurrency"])["salaryMin"].median())

What it costs

The Computrabajo Scraper charges $0.50 per 1,000 rows, so the 2,149 listings behind this page come to about $1.07.

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