Web Scraping Services Company To Crawl Websites & Extract Data
Use DataFlirt’s Data Extraction Services To Responsibly Scrape Websites & Mobile Apps; To Get The Data You Need; To Innovate; To Scale; To Lead The AI Future.
Crawling completed!
Data Scraped: 5917 rows
Failed Scraping: 87 pages
Time: 129 seconds
Scrape Any Website You Want
Overcome anti-scraping blockers
DataFlirt web scraping services overcome IP blocking, browser fingerprints, and captcha anti-blocking technologies for high quality data extraction.
Rotating Proxies
Smart proxy rotation, use of residential and data centre proxies effectively handles bans.
Javascript Rendering
Smart browser automation for scraping dynamic complex websites without sacrificing performance and efficiency.
Session & Cookies Management
Session cookies, and session state management to reduce bot detection probability, and scrape data efficiently.
High Performing Web Scraping Services With Scripts Optimised For Low-latency
Data Scraping Scripts Designed For High-performance By Sticking With Efficient Coding (Multithreading, Multiprocessing, and Asyncio), Intelligent Throttling, Caching, Appropriate Request Handling, Rotating proxies, Serverless Architecture, and Distributed Crawling.
01.
Multithreading
Scrape data from multiple pages with concurrent HTTP requests for faster data extraction.
02.
Multiprocessing
To speed up parsing of HTML content, storage of scraped data, and quick retrieval of stored data.
03.
Serverless Architecture
Serverless functions led web scraping to provision and scale the infrastructure on demand.
04.
Distributed Crawling
Large-scale scraping and parsing of data from different sources.
Cut costs with open-source web scraping technologies
Deploy a lean web scraping architecture in the cloud that make use of Python & Javascript web scraping libraries and frameworks, and browser automation tools to cut costs. Open-source web scraping tools examples include Crawlee, Playwright, Puppeteer, Selenium, Scrapy, Beautifulsoup4, etc.
Customer satisfaction
Websites scraped
Monthly data rows scraping
Scraping efficiency improvement
Frequently Asked Questions
In 2000 and 2009, two major Scraping lawsuits cases went against people scraping the data. Fast forward to 2019, the court’s decision didn’t go in favour of the Linkedin, with the court underlining that scaling publicly available data responsibly is fine. Nothing illegal about it. But I recommend my prospects to check local laws, or the laws governing data of the target websites.
- Beautiful Soup
- Scrapy
- Selenium
- Requests-HTML
- Puppeteer
- Apache Nutch
- Octoparse
- ParseHub
- PyQuery
- MechanicalSoup
- Cheerio
- lxml
- PhantomJS
Yes, we do offer one-time web & App data extracting, aka., scraping