Budget: 26000 UAH Deadline: 25 days
Hello! Combining lead parsing, AI personalization, and video generation into automated processes (via n8n) is a task that requires reliable work with various APIs and deep filtering logic.
For the first technical specification (Leadgen agent): I have strong expert experience in developing monitoring and data selection systems. For example, I created a tracker for Web3 with a complex "spam" filtering system and custom scoring. This experience translates perfectly to B2B lead generation — we will be able to filter out non-target contacts before spending OpenAI tokens on them. I will package all the logic (from collection in Airtable/Sheets to sending via SMTP with randomized delays) into a clear workflow.
For the second technical specification (Video agent): stable interaction with ElevenLabs and video neural networks (Kling/Runway) requires seamless query architecture. I have created complex bots that automatically process signals and work with APIs at high speed (response < 1 sec). I will implement an automatic pipeline: from breaking text into scenes to saving finished media files.
Are you planning to use ready-made tools (like Apify) for parsing LinkedIn/Maps, or do we need to write custom scrapers? I would be happy to discuss the details.