Use the Scraper API to extract pricing, product images, and new collection details from Rockler. Analyze the market and plan strategically with ease.
E-commerce data that is readily available for use
Get latest trends in real-time
Easily overcome IP blocks and CAPTCHAs
*This scraper is part of Web Scraper API
To automate repetitive scraping and parsing tasks for Marks, utilize the Scheduler and customize the frequency to your liking. Simply create a payload with job parameters and insert the desired website URL. Afterwards, submit the request to our API and obtain the HTML results.
Utilize Marks to gauge academic progress, identify strengths and weaknesses, and make informed decisions for student success.
See the output example on the right, and visit our documentation to find more details.
{ "results": [ { "content":"\n\n ... \n\n", "created_at": "2024-01-12 20:37:46", "updated_at": "2024-01-12 20:37:47", "page": 1, "url": "https://www.marks.com/en/cat/womens/bottoms/jeans-DC3000247.html", "job_id": "7169159117994125193", "status_code": 200 } ] }
A powerful Scraper API tool to extract data from Marks for valuable insights. Boost your business with ease:
Monitor competitor pricing
Identify popular product trends
Gather customer reviews and ratings
Experience the convenience of parsing Marks through our infrastructure, granting you the freedom to generate your parsing instructions.
No Marks parser maintenance required
Craft distinctive parsing logic for Marks using XPath and CSS selectors
Gather structured data from Marks
Utilize Marks' Web Crawler to gather real-time data on a large scale by discovering all pages of the Trendyol website.
Acquire the essential Marks data only
Customize and adjust the crawling scope for Marks according to your needs
Access Marks results in your selected format
Use the Scheduler to automate repetitive scraping and parsing tasks for Marks with the flexibility to set your preferred frequency.
Create multiple Marks crawling schedules for diverse tasks
Automatically receive Marks data in your preferred cloud storage
Get instant notifications upon Marks web crawling jobs completion
Oxylabs goes beyond being a web scraping solution provider. We aim to be a trusted business partner, taking pride in the confidence our customers have in us for their data collection requirements and appreciating our dedication to ensuring a smooth web scraping experience.
Massive IP address pool
Benefit from our broad 102M+ proxy pool for data extraction from chosen locations.
Bulk data collection
Gather data from up to 5,000 URLs from multiple pages at the same time.
Different delivery choices
Access data in your Amazon S3 or Google Cloud Storage bucket, or use an API.
Highly scalable
Effortless integration, extensive customizability, and robust support for high request volumes.
Live chat support
Don't hesitate to contact us via the live chat on our website for fast and expert assistance.
Plans for different business sizes and needs
Get hyper-localized data
Pay only for successful results
Utilize scraping know-how
0
1 week trial
Limited to 1 user
49
$2.00 / 1K results
$49 + VAT billed monthly
99
$1.80 / 1K results
$99 + VAT billed monthly
249
$1.65 / 1K results
$249 + VAT billed monthly
24,500
55,000
151,000
10 requests / s
30 requests / s
10% off
Yearly plans discount
For all our plans by paying yearly. Contact sales to learn more.
We accept these payment methods:
Marks refer to the numerical or alphabetical values assigned to a student's performance in an academic or evaluative setting, typically used to indicate their level of achievement or proficiency in a particular subject or task.
The legality of web scraping depends on various factors such as the website's terms of service, the type of data being scraped, and the purpose of scraping. In general, scraping publicly available data for personal use or research purposes may be legal, but scraping copyrighted or confidential information for commercial gain may be illegal. Therefore, it is important to consult with legal experts and obtain permission before scraping any website's data.
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