Web Scraping Specialist Needed for non-English UTF-8 content WooCommerce / Elementor Product Data Ex
Worldwide
I need a web scraping specialist to extract clean, structured product data from a non-English UTF-8 content WooCommerce / Elementor website. This is not a full website crawl. I will provide a fixed list of approved product URLs and product category URLs. The goal is to create structured files that can later be used as an AI knowledge base for ecommerce content, SEO, product page writing, and category planning. First step: small paid pilot only 5 product pages 2 product category pages For each product page, extract: Source URL Product name Page title Meta title Meta description Main image URL Volume / size Product description Main ingredients Additional ingredients Usage instructions Benefits / use cases Related products, if available Raw text / raw markdown For each product category page, extract: Source URL Category name Page title Meta title Meta description Category description Listed products Product URLs Raw text / raw markdown Important requirements: Preserve text correctly in UTF-8 Do not translate Do not rewrite Do not summarize aggressively Do not add information Remove noise such as menus, headers, footers, cookie banners, popups, forms, cart messages, and accessibility widget text Keep the raw extracted content separately for audit and review Required pilot deliverables: Structured XLSX file Raw JSONL file After the pilot is reviewed and approved, I will provide the full URL list for the complete extraction. Please apply only if you have experience scraping WordPress / WooCommerce / Elementor websites and can handle non-English UTF-8 content correctly.
- Less than 30 hrs/weekHourly
- < 1 monthDuration
- ExpertExperience Level
$5.00
-
$35.00
Hourly- Remote Job
- One-time projectProject Type
Skills and Expertise
Activity on this job
- Proposals:20 to 50
- Last viewed by client:3 weeks ago
- Hires:1
- Interviewing:9
- Invites sent:14
- Unanswered invites:1
About the client
- IsraelKfar Saba3:54 PM
- $51K total spent100 hires, 9 active
- 1,595 hours
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