The table below provides summary statistics for permanent job vacancies with an option to work from home (WFH) and a requirement for Scrapy skills. Included is a benchmarking guide to the salaries offered in vacancies that have cited Scrapy over the 6 months to 13 May 2024 with a comparison to the same period in the previous 2 years.
Scrapy is in the Software Libraries and Frameworks category. The following table is for comparison with the above and provides summary statistics for all permanent job vacancies with a WFH option and a requirement for technical specification, industry standards, software libraries and framework skills.
Permanent vacancies with a requirement for technical specification, industry standards, software libraries and framework skills
8,995
13,996
31,266
As % of all permanent jobs with a WFH option
26.68%
33.85%
45.08%
Number of salaries quoted
7,517
10,529
17,179
10th Percentile
£38,750
£41,250
£38,750
25th Percentile
£47,500
£51,250
£46,625
Median annual salary (50th Percentile)
£60,000
£65,000
£62,500
Median % change year-on-year
-7.69%
+4.00%
+13.64%
75th Percentile
£78,750
£86,250
£81,250
90th Percentile
£100,000
£102,500
£95,000
UK median annual salary
£60,000
£67,500
£63,550
% change year-on-year
-11.11%
+6.22%
+15.55%
Scrapy Trend for Jobs with a WFH Option
Job vacancies with a work from home option citing Scrapy as a proportion of all IT jobs advertised.
Scrapy Salary Trend for Jobs with a WFH Option
3-month moving average salary quoted in job vacancies with a work from home option citing Scrapy.
Scrapy Top 12 Co-occurring Skills and Capabilities in Job Vacancies with WFH Options
For the 6 months to 13 May 2024, Scrapy job roles required the following skills and capabilities in order of popularity.
The figures indicate the absolute number co-occurrences and as a proportion of all permanent jobs with remote work options and a requirement for Scrapy.
Scrapy Co-occurring Skills and Capabilities with WFH Options by Category
The follow tables expand on the table above by listing co-occurrences grouped by category.
The same employment type, locality and period is covered with up to 20 co-occurrences shown in each of the following categories:
