Driving decision making with custom datasets

Join dozens of companies using freshly sourced Internet data
to inform their most business-critical executive decisions.
Turn the web into actionable insights now!

Trusted by the best companies worldwide
Use Cases

Most requested project types

Companies across different industries slice the internet in uniquely personal ways
that generally fall under these categories.

Our Process

Fully tailored data pipelines
fitted for your business

Understand your Needs

Understand Your Needs

We work directly with you to hash out the scope and map out the project’s key milestones and objectives. The roadmap we build together creates the blueprint for later stages in our process.

Crawl the Web

Crawl the Web

We take the project blueprint and get straight to work. Custom AtlasBots parse through hundreds and thousands of gigabytes of Internet data.

Clean Raw Web Data

Clean Raw Web Data

Sorting through gigabytes of raw internet data comes with all sorts of funky structures. Internet data is messier than a teenager’s bedroom and we use every tool in the book to meticulously clean it up.

Augment and Label

Augment and Label

When needed, Atlas can augment datasets by assigning custom labels tagged by our data entry teams.

Merge your Internal Data

Merge Your Internal Data

Clients are welcome to provide any internal company datasets they wish to join in with our externally scraped data in order to paint a better picture of both internal and external worlds.

Analyze Data

Analyze the Data

Having completed the data engineering lifecycle, we pass the data forward for analytic work. We crunch numbers, build charts, and create actionable insights. Our clients routinely hit refresh on Atlas’s data pipelines to glean the latest takeaways.


You are in excellent company

Over 100 completed contracts with an average 4.99/5 star rating

Atlas Logo TeespringAtlas Logo AsurionAtlas Logo Wedgewood
Foodini LogoAtlas Logo Launch PotatoAtlas Logo IDMAtlas Logo Michigan State University
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Frequently Asked Questions

What is Atlas’s compliance with GDPR, CCPA, and SOC 2?

Atlas is dedicated to complying with all different legal data protection requirements and guidelines as defined by the GDPR, CCPA, and SOC 2. We take great effort to ensure that at every layer we are following these privacy laws.

Regarding GDPR, please be mindful that GDPR’s "Right to be forgotten" provision of the GDPR regulation may affect results extracted from EU-based search engine results but it will not affect results shown through U.S.-based search engines which are protected under the U.S. Constitution’s First Amendment.

Regarding CCPA, Atlas does not sell any of our client’s personal information as outlined by the CCPA in any manner.

Regarding SOC 2 compliance, Atlas is committed to following the 5 service criteria as defined by SOC 2. Atlas has a strong emphasis on cybersecurity by following best practices such as MFA, PoLP, encryption at rest, and secure password sharing.

What is the legality of web scraping?

Web scraping is legal and protected by U.S. law provided it respects certain use cases.

Regarding legality, we will not service any illegal requests including but not limited to launching distributed denial of service attacks (DDOS), terrorism, website hacking, or using extracted data to violate copyright laws.

In addition, we follow the privacy policies and guidelines as outlined by the Computer Fraud and Abuse Act (CFAA), General Data Protection Regulation (GDPR), California Consumer Privacy Act (CCPA), and System and Organization Controls 2 guidelines (SOC 2).

With regard to copyright law, web scraping is effectively treated as an automated form of manual data collection. As such, we will not service web scraping requests intended to violate copyright laws protecting content created on the internet.

Lastly, alongside legal regulations and guidelines, we adhere to ethical data scraping practices that guide the scale, speed, and usage of how we conduct scrapes. This includes but is not limited to hard limiting concurrent thread count and running code at low-traffic periods to minimize target server bandwidth usage.

How does web scraping work?

Web scraping is the process of writing code to automate and extract data at scale from the web. It is the bedrock technology that powers tools such as Google Search and OpenAI’s ChatGPT. The web scraping pipeline consists of sending outbound HTTP requests, analyzing returned HTML/JSON content, parsing relevant portions, and storing the data to be then passed downstream into data engineering pipelines.

Atlas custom builds bots for every website to ensure the highest level of granularity from the data extraction. Atlas creates unique mapping strategies for each website and parameterizes each bot with its own set of request headers, cookies, fingerprints, IP addresses, and more. Following this approach allows us to perform much larger and more detailed mappings of websites.

We make great efforts to fully adhere to privacy regulations and fair usage as defined by different legal rulings and court cases. Along with this, we follow ethical guidelines for running web extractions, including things such as hard limiting concurrent thread count and running code at low-traffic times in order to minimize the target server bandwidth usage.

What are all of the services that Atlas provides?

Atlas is committed to handling everything that falls under the data engineering lifecycle. From sourcing, cleaning, extracting, and learning from data, Atlas provides a blend of the following services with each project:

Data Scraping: Our primary method of sourcing custom data for your business

Data Engineering: Cleaning and harmonizing raw web data across websites to be more digestible for downstream analysis

Data Entry: Augment datasets with custom-assigned labels tagged by our data entry teams

Data Visualization: Create stellar dashboards and charts in the BI tool of your choice

Artificial Intelligence: Train and fine-tune custom AI models

Data Analytics & Report Generation: Generate easy-to-share CSV/Excel reports

Consultation: We offer consultation services to help scope out large projects and answer any more detailed questions relating to our process and project feasibility.

Lastly, we handle all aspects of integration with proxy servers, cloud computing resources, and database design internally.

How does project pricing with Atlas work?

At Atlas, we primarily work on a fixed-price basis. We will start by understanding your full project needs and what deliverables needs to be created in order to consider the project a win for you. After clearly defining the various project goals and milestones, we will share a fixed price estimate for all components of the project roadmap.

At Atlas, we have worked on dozens of small, medium, and enterprise-level contracts ranging in cost from $2.5K - $6.8K, up to $59.5K. We also offer add-on hourly work for additional ad-hoc requests needed to finalize the deliverable.

Depending on how large the project is, Atlas will provide a custom estimate based on the project's demands. Shoot us a message if you are interested in discussing a project together!

What is the difference between GoogleBots and AtlasBots?

GoogleBots crawl website URLs in order to create a ranked index that is accessible through Google Search. GoogleBots are highly generic crawling software that follows a very similar approach for every website architecture, pulling down each website’s text without much regard to the target website's structure.

On the other hand, AtlasBots deploy a unique AtlasBot handcrafted for the different web architectures of a given website. These individual AtlasBots are then further customized for sub-page web architectures found within large websites - such as creating an AtlasBot for YouTube’s search feed, an AtlasBot for YouTube’s channel pages, and an AtlasBot for YouTube’s video pages. AtlasBots are highly specialized for every component in a target website to ensure the widest and deepest mapping of the website is reached.

GoogleBots optimize primarily for text extraction and page indexing in order to create a ranking, whereas AtlasBots optimize for breadth and depth of data extraction in order to create detailed analytic reports.

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