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Dataforest

enhanced

Tiktok and Instagram massive data filtering

MNDA

Agency
Company Type
London, United Kingdom
Location
Project work
Engagement Model
6 - 10 people
Team Size
12 - 24 Months
Duration
$50K - $100K
Budget

About

Development of a script for targeted data getting and filtering on TikTok and Instagram platforms to retrieve data from an Amazon S3 bucket.

Challenge, approach, and impact

TikTok scraping

Involves scraping user details, posts, hashtag details, posts, audio details, posts, post comments, and post details with comments from TikTok platform.

Instagram scraping

Involves scraping audio details, reels, user details, posts, post details, reel details, and IGTV details from Instagram platform.

How we built

Data Analytics and Visualization
Databases
Integrations
API
Cloud Computing

Testimonials

Anonymous

Dataforest

Verified Testimonial

Developed a high-performance data scraping system for TikTok and Instagram, enabling accurate and complete collection of user, content, hashtag, and audio data at scale. The solution processes data in up to 5 seconds per ID, maintains 100% data completeness and accuracy, and operates within optimal server load limits. This enabled the client to reliably gather large volumes of social media insights for creator campaigns, audience analysis, and data-driven marketing decisions.

Team structure

Client team

Thisisround's avatar

Thisisround

Marketing Technology Manager

Project stakeholder

The client stakeholders were working closely with the team at Dataforest

Agency team

2 x Backend Developer's avatar

2 x Backend Developer

Production

2 x Data Engineer's avatar

2 x Data Engineer

Production

2 x Product Manager's avatar

2 x Product Manager

Production

2 x Business Analytics's avatar

2 x Business Analytics

Production

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