Leave a Review For Providers 0 0
  • Get a Quote
Dataji Logo

Dataji

Not yet reviewed

Contact Dataji

Get a real-time quote

Web data that doesn't break.

DataJi builds custom web scrapers, automated data pipelines, and the APIs and backends around them. We turn messy, anti-bot-protected web sources into clean, structured data — delivered on schedule, monitored, and built to keep running when target sites change. Our work spans data extraction, scheduled ETL pipelines, and custom API/backend development (Python, FastAPI, Django), with built-in warehousing and failure alerts. With 8+ years and 70+ projects, we've delivered data for e-commerce pricing, real estate listings, recruitment, and social/sentiment analytics— either as a fully managed service or as a codebase your team owns and runs.

  • Min project size
    Undisclosed
  • Hourly rate
    < $25 / hr
  • Employees
    2 - 9
  • Year founded
    Founded 2025

Service Lines
BI & Big Data Consulting & SI
45%
Data Annotation Services
40%
API Development
5%
Web Design
5%
Web Development
5%

No Focus Areas have been added yet…

Industries
eCommerce
60%
Information technology
40%
Clients
Enterprise (>$1B)
45%
Midmarket ($10M - $1B)
35%
Small Business (<$10M)
20%

Highly Rated Similar Providers

Have you worked with Dataji?

Share your experience working with Dataji on a past project by leaving a review for buyers around the world

Submit a Review

Our Story

We’re DataJi, a small team of senior data engineers and Python specialists who turned side projects into a decade-plus practice. We build reliable, monitored web scraping, ETL pipelines, APIs, analytics and ML solutions for startups and small businesses worldwide. We prioritise resilience, client ownership of code, clear scopes, and honest delivery — 70+ projects, 30+ clients, 8+ years of field experience.

What Sets Us Apart

Built for sites that fight back

Login walls, CAPTCHAs, bot detection and TLS fingerprinting are where generic scraping tools fail. That’s our everyday work. We build with Scrapy, Playwright and curl_cffi, and one of our founders won Zyte’s 2023 Extract Summit web-scraping competition.

We own the pipeline, not just the scraper

Extraction is step one. We handle cleaning, validation, Airflow scheduling, monitoring, and delivery to your database, S3, or API. When a target site changes overnight, we fix it. You receive clean data on schedule.

You talk to the engineers doing the work

No account managers or handoffs. Dataji is a small, engineer-led team with 8 years of production scraping experience and 30+ clients. The person who scopes your project is the one who builds it.

Tools and Technology

Slack
Zoom
Microsoft Teams
Google Meet
Jira
Notion
Google Drive
HubSpot
GitHub
Kubernetes
Docker
Bitbucket

Commonly Asked Questions

You’ll always talk directly to the engineer building your project, not a go-between. We set up a shared channel at the start (Slack, email or whatever your team already uses) and agree on a reporting rhythm that suits you, usually a short written update each week covering what shipped, what’s next and any blockers. Before we build the full pipeline, we share sample data so you can confirm the fields and format are right. Once it’s running, our crawlers are monitored automatically, so if a source site changes or data volumes drop, we spot it and tell you before it affects your work. We work from India and keep regular overlap hours with clients in the US, UK, Europe and the Middle East, so replies come within the same business day.

Our strongest track record is on Upwork, where we have a 100% Job Success Score and Top Rated status. The score reflects client feedback and repeat business across completed contracts. ROI depends on what the data replaces, so we measure each project against what the client needs it to do. For most clients, that means one of three things: hours of manual research eliminated, data they couldn’t get before (competitor pricing, public records, market listings), or a tool that kept breaking replaced by a pipeline that keeps running. We judge our own work on reliability. A scraper that works on launch day is easy; one that still delivers clean, complete data six months later is the real test. For a US real estate data company, we ran 40+ scrapers across county record sites that change without notice. Before any project starts, we agree on concrete success criteria with you: coverage, accuracy, freshness and delivery schedule. That way, we both measure success.

Our team regularly runs multiple projects in parallel without letting earlier commitments slip. Each project has a dedicated engineer who owns it end to end, so new work never pulls attention away from existing clients. This matters because scraping pipelines need ongoing care. When a target site changes overnight, the fix can’t wait behind someone else’s deadline. Our automated monitoring catches issues across every active pipeline, so existing clients stay covered while we build new projects. Before taking on new work, we confirm we have the capacity to deliver it properly. If we can’t start right away, we’ll give you a realistic start date instead of overcommitting.

We’re most interested in projects where data is central to the client’s product or operations, not a one-off pull. That includes: - Managed data feeds: We build, run and maintain the scrapers, and you receive clean data on a schedule. Proxies, CAPTCHAs and site changes are our problem. - Hard-to-scrape sources: Sites with heavy bot protection, logins, dynamic content or frequent layout changes. - Large-scale or multi-source crawling: Pricing intelligence, real estate and public records, marketplace and listings data, and lead and contact data across many sites at once. - End-to-end data pipelines: Extraction plus cleaning, validation, Airflow scheduling and delivery into your database, warehouse or API. - Fixing or taking over existing scrapers: If an in-house setup or previous vendor’s code keeps breaking, we can stabilise it and take ownership. We work well with startups and small businesses that need a dependable data partner rather than a one-time freelancer. If you’re unsure whether your project fits, send it over and we’ll give you an honest answer.

We begin with a brief call to learn what data you need, where it comes from, and how you’ll use it. Then we assess feasibility at the target sites and provide a clear scope outlining the fields, frequency, delivery format, timeline, and cost. Once you approve, we share a sample dataset so you can confirm the output before we build the full pipeline. After launch, you’ll receive regular updates and monitored delivery, with one engineer serving as your direct point of contact throughout.

Contact Dataji

If you’re not seeing exactly what you need here, send this company a custom message. You can talk about your project needs, price, and timeline to get started on your project.

Get connected to see updates from Dataji like new case studies, latest reviews, their latest masterpieces in their portfolio, delivered straight to you.