
Web Scraping 32 store/supermarket websites
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Post a project like this3873
£250(approx. $333)
- Posted:
- Proposals: 16
- Remote
- #693033
- Awarded
Full Stack Web Developer / Python / ReactJS / VueJS / Mobile Apps / Wordpress / Magento / Shopify / Opencart / APIs / PHP /

Web Scraping & Data Extraction Specialist | Python Expert | API Integration | Lead Generation

66384183121329684152454976642033999852203685328464039550613911150548616
Description
Experience Level: Expert
Estimated project duration: less than 1 week
General information for the website: Fundraising company
Description of every page/module: Perform a Web Scrape on 32 store/supermarket websites.
Price negotiable.
Description of requirements/features: Data for the following store/supermarket websites needs to be scraped:
Aldi; Argos; ASDA; B&M; B&Q; Best Buy; Boots; Carpetright; Clarks; Co-Op Food; Debenhams; Dunelm; Fitness First; Home Bargains; John Lewis; Lidl; Makro; Maplin; Marks and Spencer; Matalan; Mothercare; Peacocks; Poundworld; Sainsburys; Sports Direct; Superdrug; Tesco; TK Maxx; Toys R Us; Virgin Active; Waitrose; Wilkinson
Either 32 individual Excel files (one for each website), or one Excel file with all of them in.
Store Store Name Address Line 1 Address Line 2 Post Code Phone Number
Each store on a new row, and it is mandatory that the columns above with a " * " next to them has data populated in each row.
Description of every page/module: Perform a Web Scrape on 32 store/supermarket websites.
Price negotiable.
Description of requirements/features: Data for the following store/supermarket websites needs to be scraped:
Aldi; Argos; ASDA; B&M; B&Q; Best Buy; Boots; Carpetright; Clarks; Co-Op Food; Debenhams; Dunelm; Fitness First; Home Bargains; John Lewis; Lidl; Makro; Maplin; Marks and Spencer; Matalan; Mothercare; Peacocks; Poundworld; Sainsburys; Sports Direct; Superdrug; Tesco; TK Maxx; Toys R Us; Virgin Active; Waitrose; Wilkinson
Either 32 individual Excel files (one for each website), or one Excel file with all of them in.
Store Store Name Address Line 1 Address Line 2 Post Code Phone Number
Each store on a new row, and it is mandatory that the columns above with a " * " next to them has data populated in each row.
James G.
100% (1)Projects Completed
1
Freelancers worked with
1
Projects awarded
100%
Last project
7 Apr 2015
United Kingdom
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