A webscraper for websites
$250-750 USD
Pagato alla consegna
am looking for someone to write basic web scrapper for few particular websites. Can you help me with the python implementation?
Goal
Create current state (snapshot) of fragrance section of the given websites.
Here are those websites I want to
[login to view URL]
[login to view URL] (Perfumes category of products)
Fields needed:
images, title, quantity and price (all quantities and their prices), description
Requirements:
Website scrapper should have a way to specify keywords as optional parameter. For example, if I search for Dior; it should scrap all products tagged with this keyword on the website. On Sephora, it should scrap all products (all pages) from following link:
[login to view URL]
If the keyword parameter is missing, it should scrap all the products under fragrance category.
We should be able to schedule crawling.
When a crawling session starts, it should create a separate folder under given bucket with timestamp in the directory name. This is to make sure that if we have two instances of crawler running, they should not produce inconsistent results.
During a single crawl, it should not have duplicated entries provided there are no duplicates on the original website.
Output format: S3 supported.
Those are high-level requirements from my side but don’t hesitate to share your suggestions if the solution can be implemented in better way.
Ideal skills and experience:
- Proficient in web scraping techniques and tools
- Familiarity with scraping specific websites
- Ability to scrape both text and images
- Experience with storing data in the S3 format
Rif. progetto: #37527204
Info sul progetto
51 freelance hanno fatto un'offerta media di $474 per questo lavoro
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