Python Data Scraping Expert
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Python Data Scraping Expert
Looking to hire a web scraping developer to handle different portions of large web scraping projects. The tasks would entail writing Python-based code to extract large amounts of data from different websites at scale.
Apply now
About Atlas
Requirements &
Responsibilities
Atlas helps companies develop data-driven solutions to solve their toughest business challenges.
Atlas uses data to help clients capture leads, monitor prices, identify patterns, make important decisions, and more. Over the past several years, Atlas has worked with dozens of Enterprise clients such as Amazon, Chegg, Spring (formerly TeeSpring), and more. Taking a data-focused approach helps businesses large and small reach new heights.
In order to help our clients grow, Atlas offers the full circle of data engineering-related tasks:
- Extracting - pull unstructured data from websites and APIs
- Processing - clean and engineer data to be in the desired format
- Loading - structure and store data in an external source (SQL, CSV, Excel, Snowflake, Airtable, etc)
- Analyzing - apply modern state-of-the-art algorithms to generate high-value insights
Through
Atlas’s structured approach to tackling complex business problems and generating data-driven solutions, we turn client projects into long-lasting, big-impact work that allows them to continue growing their companies.
If this work sounds like something you are interested in, apply now!
Apply now
Python
This role will require an understanding of Python web scraping libraries such as:
- beautifulsoup4
- requests
- cloudscraper
- httpx
- scrapy
- selenium
Therefore, unless specified otherwise, all scraping programs should be fully HTTP request-based (no use of Selenium, Puppeteer, or any other browser control tools whatsoever).
Skillsets
It is also important to have an understanding of concepts such as multi-threading and proxy servers to efficiently scrape data from websites. I will have a somewhat flexible format for what the code should look like, and we can discuss good code practices to follow for different projects.
At a high level, familiarity with the following concepts will be immensely valuable:
Data Scraping Skillset
- Python Web Scraping Libraries (listed above)
- Multi-Threading
- Proxy Server Integration
- Basic Python Data Analysis Libraries (Pandas, NumPy)
- PostgreSQL (for very simple SQL queries)
- AWS Cloud Tools (EC2, RDS, S3, AWS CLI, CloudWatch, CloudFormation)
- Shell scripting & general code automation tools
- Creating code templates
- Automating redundant commands and deployment
- Docker
- Git
- Software best practices (logging, documentation, testing, automation)
If you feel like your skillset line up with these skills, apply now!
Apply now
More job openings
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Python Data Engineering Expert
Looking for a talented data engineer to work on data cleaning and analytic work using upstream scraped data. The work would include writing code to generate custom reports for clients, as well as streamlining the entire data pipeline through each of the data lifecycle phases from generation to serving.
Apply now
Atlas is committed to making the digital world’s wisdom accessible to every individual.
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