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Johnlewis Parser Spider
Scrape detailed product data from John Lewis, including names, prices, ratings, and reviews, for e-commerce analysis and market research. Features brand filtering, configurable limits, proxy support for reliability, and fast JSON output. Ideal for price tracking and competitive intelligence.
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from $9.00 / 1,000 results
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3 months ago
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JL Parser is an Apify Actor that scrapes comprehensive product data from John Lewis, extracting prices, descriptions, reviews, and availability for targeted brands.../..//
johnlewis-parser-spider
A Scrapy-based Apify actor that crawls the johnlewisproductlink domain to extract structured product metadata for e-commerce use cases. The actor performs automated web scraping of product listings and product pages using standard Scrapy/Python technology, collecting product attributes such as identifiers, pricing, availability, brand, and other product details. It supports configurable scraping by brand and item limits, rate limiting, and an optional extra per-product request mode to retrieve canonical product identifiers (with pay-per-event billing for that extra extraction). Outputs are structured product records suitable for cataloging, monitoring, and enrichment workflows.
Use cases
- Extract product metadata from John Lewis product pages for catalog creation
- Targeted brand-level scraping to gather products for specific brands
- Sampling or bounded crawls by limiting the number of items retrieved
- Optional per-product identifier extraction via an extra request (pay-per-event)
- Price and availability monitoring for competitive analysis
- Enriching product datasets with identifiers and additional product attributes
