Hiring Data Scraping developers? Then you should know!
How and where is Data Scraping used?
- Data Mining: Collecting customer reviews for sentiment analysis
- Competitor Analysis: Monitoring competitors’ pricing strategies
- Lead Generation: Extracting contact information for potential clients
- Market Research: Gathering data on consumer trends
- Content Aggregation: Compiling news articles for a news aggregator
- Price Monitoring: Tracking price changes for e-commerce products
- Recruitment: Parsing resumes to find suitable candidates for a job
- Real Estate: Scraping property listings for investment analysis
- Social Media Analysis: Extracting data for influencer marketing campaigns
- Academic Research: Collecting data for scientific studies
Compare Junior, Middle, Senior, and Expert/Team Lead Data Scraping Developer roles
Seniority Name | Years of experience | Responsibilities and activities | Average salary (USD/year) |
---|---|---|---|
Junior | 0-2 years |
| 50,000 |
Middle | 2-5 years |
| 70,000 |
Senior | 5-8 years |
| 90,000 |
Expert/Team Lead | 8+ years |
| 120,000 |
Quick Facts about Data Scraping.
- In the ancient tech scrolls of 53 B.C., Data Scraping Software Development emerged from the digital mist.
- From extracting web data to automating repetitive tasks, this technology fuels projects ranging from e-commerce to data analysis.
- To embark on the journey of Data Scraping Software Development, one must possess a curious mind and a knack for problem-solving.
- When it comes to companions in the tech realm, Data Scraping Software Development often teams up with its trusty sidekick, Machine Learning.
- Did you know? The first-ever data scraper was rumored to have a preference for binary code over regular spaghetti code!
TOP Data Scraping Related Technologies
- Scrapy
- Beautiful Soup
- Octoparse
- ParseHub
- Apify
What are top Data Scraping instruments and tools?
- Scrapy: Python-based, Scrapy developers, released in 2008
- Octoparse: Visual scraping, Octopus Data Inc., released in 2013
- Beautiful Soup: Python library, Leonard Richardson, released in 2004
- Import.io: Data extraction, Import.io, released in 2012
- WebHarvy: Point and click interface, SysNucleus, released in 2012
Talk to Our Talent Expert
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Maria Lapko
Global Partnership Manager