correction of out of range error

Author: gideonclottey

WEB SCRAPING/WebScraping-Data-Analytics/job_data_2.csv

@@ -1,26 +1,23 @@
 Job Title,Location,Salary,Company Name
-SEN Tutor,"SW1, South West London, SW1A 2DD",Recently,Targeted Provision Ltd
-�28 - �33 per hour,SEN Tutor,"SW1, South West London, SW1A 2DD",Targeted Provision Ltd
+SEN Tutor,"SW1, South West London, SW1A 2DD",Recently,Deckers
+"SW1, South West London, SW1A 2DD",Recently,�28 - �33 per hour,Deckers
+Recently,�28 - �33 per hour,SEN Tutor,Targeted Provision Ltd
+�28 - �33 per hour,SEN Tutor,"SW1, South West London, SW1A 2DD",Deckers
+SEN Tutor,"SW1, South West London, SW1A 2DD",Recently,Deckers
+"SW1, South West London, SW1A 2DD",Recently,�28 - �33 per hour,Deckers
 Recently,�28 - �33 per hour,Supply Chain Administrator,Deckers
-"WC2, Central London, WC2N 5DU",Recently,Unspecified,Deckers
-Accounts Payable Assistant,"St James, WC2N 5DU",Recently,Deckers
-Unspecified,Total Rewards Analyst,"WC2, Central London, WC2N 5DU",Targeted Provision Ltd
-Recently,Unspecified,SEN Tutor,Deckers
-"WC2, Central London, WC2N 5DU",Recently,�28 - �33 per hour,Deckers
-CS Operations Administrator - 6 Months FTC,"WC2, Central London, WC2N 5DU",Recently,Deckers
-Unspecified,Consumer Relations Team Leader (12 Month FTC),"WC2, Central London, WC2N 5DU",Deckers
-Recently,Unspecified,Consumer Relations Team Leader,EMBS
-"WC2, Central London, WC2N 5DU",Recently,Unspecified,Deckers
-Procurement Specialist,"WC2, Central London, WC2N 5DU",Recently,CV Screen Ltd
-Unspecified,Onsite IT Support Engineering (2nd Year),"St James, SW1",Deckers
-Posted 15 days ago,�35k - 38k per year + Benefits,"Allocator, UGG (6 months FTC)",Deckers
-"WC2, Central London, WC2N 5DU",Recently,Unspecified,Webhelp UK
-Finance Manager - eCommerce - Remote Working,"St James, SW1",Posted 14 days ago,Applause IT Limited
-�50k - 65k per year + benefits,Senior Learning Experience Manager,"WC2, Central London, WC2N 5DU",Johnson & Associates Rec Specialists Ltd
-Recently,Unspecified,Online Trading Assistant,Johnson & Associates Rec Specialists Ltd
+�28 - �33 per hour,Supply Chain Administrator,"WC2, Central London, WC2N 5DU",EMBS
+Supply Chain Administrator,"WC2, Central London, WC2N 5DU",Recently,Deckers
+"WC2, Central London, WC2N 5DU",Recently,Unspecified,CV Screen Ltd
+Recently,Unspecified,Accounts Payable Assistant,Deckers
+Unspecified,Accounts Payable Assistant,"St James, WC2N 5DU",Deckers
+Accounts Payable Assistant,"St James, WC2N 5DU",Recently,Webhelp UK
+"St James, WC2N 5DU",Recently,Unspecified,Applause IT Limited
+Recently,Unspecified,Total Rewards Analyst,Johnson & Associates Rec Specialists Ltd
+Unspecified,Total Rewards Analyst,"WC2, Central London, WC2N 5DU",Johnson & Associates Rec Specialists Ltd
+Total Rewards Analyst,"WC2, Central London, WC2N 5DU",Recently,Johnson & Associates Rec Specialists Ltd
 "WC2, Central London, WC2N 5DU",Recently,Unspecified,Johnson & Associates Rec Specialists Ltd
-Infrastructure Architect,"St James, SW1",Posted 30 days ago,Johnson & Associates Rec Specialists Ltd
-Unspecified,Mobile Developer,"St James, WC2N 5DU",Elliot Marsh
-Expires in 1 day,Negotiable,Junior Loan Closer,Elliot Marsh
-"St James, WC2N 5DX",Reposted 7 days ago,"Up to �45,000 per annum",Get Recruited (UK) Ltd
-Loan Closing Associate,"St James, WC2N 5DX",Reposted 34 days ago,Elliot Marsh
+Recently,Unspecified,SEN Tutor,Elliot Marsh
+Unspecified,SEN Tutor,"WC2, Central London, WC2N 5DU",Elliot Marsh
+SEN Tutor,"WC2, Central London, WC2N 5DU",Recently,Get Recruited (UK) Ltd
+"WC2, Central London, WC2N 5DU",Recently,�28 - �33 per hour,Elliot Marsh

WEB SCRAPING/WebScraping-Data-Analytics/pydataanalytics.py

@@ -23,10 +23,11 @@
 with open('job_data_2.csv', mode='w', newline='') as file:
     writer = csv.writer(file)
     writer.writerow(['Job Title', 'Location', 'Salary', 'Company Name']) # header row
-    for i in range(0, len(job_titles), 3):
+    min_length = min(len(job_titles), len(company_name))
+    for i in range(0, min_length - 3):
         job_title = job_titles[i].text.strip()
         location = job_titles[i+1].text.strip()
         salary = job_titles[i+2].text.strip()
-        company = company_name[i//3].text.strip()
+        company = company_name[i+3].text.strip()
         writer.writerow([job_title, location, salary, company])
-        print(job_title)
+       # print(job_title)