Optimized Instagram Data Export and Pipeline

• Day: 2026-02-06
• Time: 18:45 to 19:50
• Project: Dev
• Workspace: WP 2: Operational
• Status: In Progress
• Priority: MEDIUM
• Assignee: Matías Nehuen Iglesias
• Tags: Instagram, Data Pipeline, Automation, Buffer, Makefile

Description

Session Goal

The session aimed to optimize the Instagram data export process and manage the associated data pipeline effectively.

Key Activities

• Explored and documented the limitations of Buffer’s auto-posting feature for Instagram Stories.
• Investigated various search queries related to downloading information from Instagram, including using the Meta Accounts Center.
• Detailed the structure and content of Instagram data exports, focusing on HTML and JSON formats.
• Reflected on the outputs from a legacy Instagram data processing script, noting potential deprecations.
• Addressed issues in the Instagram data pipeline, particularly around configuration and directory path management.
• Identified and suggested fixes for Makefile issues related to incorrect path selection for IG exports.
• Provided instructions for using the XLOOKUP function in Google Sheets for data retrieval.

Achievements

• Clarified the process for downloading Instagram data and the limitations of auto-publishing via Buffer.
• Improved understanding of Instagram data export formats and their practical implications.
• Enhanced the configuration of the Instagram data pipeline, ensuring accurate data processing.
• Resolved path selection issues in the Makefile to ensure reliable operation.

Pending Tasks

• Further testing of the updated Instagram data pipeline configuration to ensure stability.
• Review and potentially update the legacy Instagram script outputs to align with current needs.

Evidence

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• event_ids: []