Murmur Lab's API interface provides developers with access to structured data, with key features including:
Core data callsThe platform returns JSON-formatted data such as the number of mentions and the percentage of positive comments for "Gemini 2.5 Pro" in the last 7 days on the Twitter platform. In the request example, the platform returns data in JSON format, such as the number of mentions and the percentage of positive comments of "Gemini 2.5 Pro" on Twitter in the past 7 days.
System Integration Capability: Enterprises can plug APIs into internal BI systems or marketing automation tools to automate data Kanban updates. For example, synchronize Reddit platform users' complaints about competing products to CRM system in real time to trigger customer service process.
Customized Analysis: Precise calls can be realized through parameter combinations, such as limited time range ("last_30_days"), platform filtering ("platform": "discord "), platform filtering ("platform": "discord") or sentiment threshold ("sentiment_score":">0.7″).
It should be noted that there is a frequency limit for API calls, and it is recommended to optimize the request strategy through official documents. Typical technology stack combinations are Python+Requests library to process JSON data, and Cron to realize timed collection. Enterprise users can also apply for private deployment solutions to obtain higher throughput.
This answer comes from the articleMurmur Lab: a smart tool for analyzing social media trends in real timeThe
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