Harness TradingView's comprehensive data with the custom TradingView Scraper API. Delve into a wealth of financial information, from real-time stock prices to in-depth market analysis. The TradingView Scraper allows you to explore global financial markets and investment opportunities. With the TradingView Scraper, you can:
Access real-time localized data
Get around sophisticated anti-bot systems
Utilize JavaScript rendering
*This scraper is part of Web Scraper API
To extract information from TradingView, simply construct a payload incorporating job parameters and the TradingView website URL. Following this, transmit the request to our API and obtain the outcomes in HTML format.
Leverage TradingView's resources to understand market patterns, real-time data, and competitor strategies. Make data-driven decisions for your trading success. Connect, share, and explore trading ideas within a vibrant community of traders and investors.
See the output example on the right, and visit our documentation to find more details.
{ "results": [ { "content":"\n\n ... \n\n", "created_at": "2023-11-24 19:04:06", "updated_at": "2023-11-24 19:04:07", "page": 1, "url": "https://www.tradingview.com/symbols/NASDAQ-GOOG/", "job_id": "7135159617994120193", "status_code": 200 } ] }
Our commitment to client success goes beyond delivering exceptional products. We have a dedicated support team that is always here to assist, delivering proactive guidance and resolving issues promptly.
Access the 102M+ proxy pool to extract data from any worldwide website.
Collect data from up to 1000 URLs per batch at once.
Receive results via our API or to your cloud storage bucket (AWS S3 or GCS).
Easy to integrate, customize & supports a high volume of requests.
Get professional and timely assistance day and night.
Independently write parsing instructions and parse any target effortlessly while using our infrastructure.
No need to maintain your own parser
Define your own parsing logic with XPath and CSS selectors
Collect ready-to-use structured data from TradingView
Discover all pages on TradingView and fetch data at scale and in real time with Web Crawler feature.
Gather only the data you need from target websites
Control the crawling scope and tailor the end result
Retrieve your results in a specified format
Automate recurring scraping and parsing jobs with the needed frequency by scheduling them with Scheduler feature.
Create multiple schedules for different jobs
Receive data automatically to your preferred cloud storage
Get notifications once each job is done
Gather data from TradingView effortlessly
Pay only for successful results
Gather highly-localized data
Receive scraping know-how
0
1 week trial
Limited to 1 user
49
$2.80 / 1K results
$49 + VAT billed monthly
99
$2.60 / 1K results
$99 + VAT billed monthly
249
$2.40 / 1K results
$249 + VAT billed monthly
17,500
38,000
104,000
10 requests / s
30 requests / s
We accept these payment methods:
TradingView is a cloud-based social platform for traders and investors. It offers a comprehensive range of charting tools, real-time market data, and social features for sharing and discussing trading ideas. Users can create, share, and explore trading ideas while connecting with other traders and investors. TradingView also provides a variety of technical analysis tools and a trading simulator, making it a popular choice for both novice and experienced traders.
The legality of web scraping, including platforms like TradingView, largely depends on the terms of service of the specific website, the data being scraped, and the jurisdiction in which you're operating. While web scraping itself isn't illegal, it can become a legal issue if it infringes on copyright, violates privacy, or breaches the website's terms of service. TradingView, like many other platforms, likely has policies in place to protect its data. Therefore, it's crucial to review these policies and possibly seek legal advice before proceeding with any web scraping activities. It's also important to note that even if scraping is permitted, the use of the scraped data must also comply with relevant laws, such as data protection and privacy laws.
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