Upwork jobs scraper

Upwork scraper extracts detailed project information directly from Upwork’s project listings. No limits for number of jobs extracted! No extra setup! No monthly fee!

upwork jobs scraper -processing

No data limits!

You can extract thousand of items for the same prices.

Server and local version

You can launch our scraper both on server and your local PC

Try for free

You can try a free demo version before purchasing the full solution

Feature requests friendly!

If you need any features to add – just let us know!

Advanced anti blocking system

Captcha processing and anti crawler detection system

Speed

Invivo scrapers are using cutting edge browser imitation technology to provide you the highest speed data extraction.

Upwork Scraper key features

This scraper allows clients to input project listing URLs and retrieve extensive project data from Upwork. This data is then used to refine the project search process, filter out unwanted results, and enhance overall project monitoring efficiency.

URL-Based Project Search

Our scraper uses input URLs provided by the client to search for projects on Upwork. This method ensures that the client can easily track and monitor specific job postings, making it easier to identify the most relevant projects based on your filters and criteria.

Data Extraction Capabilities

For each project found, the scraper extracts a wide range of data, including:

  • Project Titles: Name of the project as displayed on Upwork.
  • URLs: Direct links to the project pages.
  • Project Descriptions: Details about the project requirements, tasks, and scope.
  • Payment Verification: Whether the client has a verified payment method.
  • Ratings and Reviews: The client’s average rating and written reviews from freelancers.
  • Client’s Spending: How much the client has spent on Upwork.
  • Country: Location of the client.
  • Hourly Rates: The client’s preferred hourly rates.
  • Experience Level: The level of experience required for the project.
  • Estimated Time: Project time frame provided by the client.
  • Proposals Count: The number of proposals the client has received.
  • Skills: Specific skills required for the project.

This detailed project data provides a comprehensive view of the Upwork project landscape and helps users filter out irrelevant or low-quality projects.

Optimal Features

  1. Automated Filtering: The parser filters projects by strings provided in a separate filters.txt file, making it easier to skip irrelevant projects during subsequent runs.
  2. Project Deduplication: The parser ensures that previously parsed projects are not included in new extraction sessions by comparing URLs stored in a SQLite database.
  3. Scheduled Launch: You can set up the parser to run automatically at defined intervals using Windows Task Scheduler.

Example Use Case

Imagine you are a freelancer looking for new Upwork projects. You regularly browse multiple project categories but often encounter the same or irrelevant projects. Our Upwork parser automates this process, filtering projects based on your predefined criteria and skipping duplicates, allowing you to focus only on the most relevant opportunities.

FAQ

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