Automated Pinterest Content Scraper with AI & BrightData

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This workflow automates the process of scraping Pinterest content based on user-provided keywords, using advanced AI and BrightData integration. The system begins with a user submitting keywords through a form trigger, then employs an AI agent to initiate and manage the scraping process. BrightData’s API creates a snapshot of Pinterest data related to the keywords, which the workflow periodically checks for completion. Once the data is ready, it fetches, processes, and extracts relevant information such as titles, URLs, images, and hashtags. The cleaned data is then stored in Google Sheets for future analysis or content curation. This automation is useful for digital marketers, content creators, or research teams needing targeted Pinterest data collection at scale without manual effort.

Node Count

11 – 20 Nodes

Nodes Used

@n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmChatAnthropic, @n8n/n8n-nodes-langchain.toolCode, code, formTrigger, googleSheets, httpRequestTool, stickyNote

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