Healthcare Provider Data Collection — Custom physician and provider roster datasets for healthcare research, consulting, analytics, and health-tech projects.Learn more
OrzaenOrzaen
Back to Results
Featured

Instagram 400K Profile Verification and Follower Enrichment

High-volume extraction of verification status and follower counts for 400,000+ Instagram profiles with optimized Python infrastructure. Client had a spreadsheet containing 400,000+ Instagram profile handles and required bulk enrichment with verification status and follower counts within strict time constraints

Delivered Feb 2025•Grace O., Upwork Client•Under 1 week (Delivered in ~24 hours)
0+

Profiles Enriched

24 hours

Turnaround Time

0%

Dataset Coverage

16,000-20,000 profiles/hour

Processing Speed

Client had a spreadsheet containing 400,000+ Instagram profile handles and required bulk enrichment with verification status and follower counts within strict time constraints.

Engineered a custom Python-based distributed scraping infrastructure capable of enriching 400K Instagram profiles within 24 hours while maintaining stability and data accuracy.

After implementation, Fully enriched dataset delivered with verification status and follower counts for all profiles within 24 hours.

Behind the Scenes

How the system moved from problem to controlled execution.

01

Problem

Client had a spreadsheet containing 400,000+ Instagram profile handles and required bulk enrichment with verification status and follower counts within strict time constraints. Dataset contained over 400,000 Instagram usernames requiring enrichment. Required fields: is_verified (blue badge) and followers_count. No practical way to manually validate verification at this scale. Instagram rate limits and anti-bot protections posed performance risks.

02

System Built

Engineered a custom Python-based distributed scraping infrastructure capable of enriching 400K Instagram profiles within 24 hours while maintaining stability and data accuracy. Workflow covered: Pre-processing and normalization of 400K Instagram handles; Session-based authenticated scraping to access profile metadata; Parallel processing batches to accelerate throughput; Dynamic rate adjustment to prevent Instagram throttling; Extraction of is_verified flag directly from profile metadata.

03

What Changed

400,000+ instagram profiles enriched. 24 hours full dataset turnaround time. 100% dataset coverage with no missing rows. 5.0/5 client satisfaction rating. Designed bulk enrichment system capable of processing ~16,000–20,000 profiles per hour. Completed 400,000+ profile enrichments within 24 billable hours.

Before / After

What changed after the system was rebuilt.

01

Profiles enriched

Before

400,000 unenriched handles

After

400,000+ fully enriched

02

Processing speed

Before

Manual validation impossible

After

16,000-20,000 profiles/hour

03

Turnaround time

Before

Weeks or months manually

After

24 hours

04

Data accuracy

Before

N/A

After

100% coverage, no missing rows

Delivery Scope

What was included in the system delivery.

Distributed Instagram profile enrichment pipeline

Verification status extraction

Follower count parsing and normalization

Progress logging and retry handling

Excel output preserving original input order

Controls

Checks built in to keep the workflow reliable.

Input handles are normalized before processing

Temporary failures are retried before final export

Dynamic rate adjustment reduces throttling risk

Final output is validated against the original input count

Original row order is preserved for easy client matching

Tools & Stack

Tools used to build, connect, and deliver this system

PPython
SSelenium
RSRequests-based session handling
PPandas
MMultiprocessing
Proxy Rotation
RCRate-Limit Control Algorithms
EEExcel Export

Similar System

Want similar results?

Share the manual process, messy data flow, or system gap you want to fix. We will help you understand what can be rebuilt into a controlled operating system.

Achieve Similar Results