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Data parsing

We helped a law consulting company create a unique instrument to collect and store data from millions of pages from 5 different court sites. The scraped information included PDF, Word, JPG, and other files. The scripts were automated, so the collected files were updated when information changed.

14.8 mln

pages processed daily

43 sec

updates checking
Data parsing case image

About the client

Law Consulting company based in South America. Client automate, manage, classify and store files of court cases, documents and contracts of all kinds via AI algorithms.

Tech stack

Python logo
Celery logo
Pandas logo
PostqreSQL logo
Elasticsearch logo
GCP logo

Challenges & solutions


Scrape data out of millions of pages and documents from five separate judicial websites; don’t overload them.

Daily collect updated data from the judicial cases files. Not only the structured data but also built-in PDF, Word, JPG files, etc.

Keep scripts continuously running, add new cases files and update old ones if something had changed.


Created a distributed system architecture with Linux nodes and dynamic pipeline which makes managing high peaks and set priorities possible.

Created an algorithm, which scrapes new files immediately during the daytime based on traffic and makes massive updates during the nighttime.

Created a cloud SQL database with daily dumps to Elasticsearch to keep data we use; files directly uploaded to Elasticsearch.

Implemented proxies and AI technologies used to overcome bot protection and process 14.8 million pages daily. Daily we download about 14 Gb of important data.

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These guys are fully dedicated to their client's success and go the extra mile to ensure things are done right.

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Sebastian Torrealba

CEO, Co-Founder DeepIA, Software for the Digital Transformation

Steps of providing
data scraping services

Consultation icon

Step 1 of 5

Free consultation

It's a good time to get info about each other, share values and discuss your project in detail. We will advise you on a solution and try to help to understand if we are a perfect match for you.
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Step 2 of 5

Discovering and feasibility analysis

One of our core values is flexibility, hence we work with either one page high level requirements or with a full pack of tech docs.  At this stage, we need to ensure that we understand the full scope of the project. Receive from you or perform a set of interviews and prepare the following documents: list of features with detailed description and acceptance criteria; list of fields that need to be scraped, solution architecture. Ultimately we make a project plan which we strictly follow. We are a result-oriented company, and that is one of our core values as well.
Solutions icon

Step 3 of 5

Solution development

At this stage, we develop the scraping engine core logic. We run multiple tests to ensure that the solution is working properly. We map the fields and run the scraping. While scraping, we keep the full raw data so the final model can be enlarged easily. Ultimately we store data in any database and run quality assurance tests.
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Step 4 of 5

Data delivery

After quality assurance tests are completed, we deliver data and solutions to the client. Though we have over 15 years of expertise in data engineering, we expect client’s participation in the project. While developing and crawling data, we provide midterm results so you can always see where we are and provide us with feedback. By the way, a high-level of communication is also our core value.
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Step 5 of 5

Support and continuous improvement

We understand how crucial the solutions that we code for our clients are! Our goal is to build long-term relations, so we provide guarantees and support agreements. What is more, we are always happy to assist with further developments and statistics show that for us, 97% of our clients return to us with new projects.

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performance boost



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We’d love to hear from you

Share the project details – like scope, mockups, or business challenges.
We will carefully check and get back to you with the next steps.

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