Erik_Larson

Erik_Larson · ‎10-23-2020

Yeah it's an interesting requirement, my guess would be that the legacy system has some state associated with it? And can only run every n minutes or so under 15 minutes. This would explain limiting the incoming records to a certain cadence to prevent stale data or cache misses, but who knows, just a guess.

Erik_Larson · ‎10-23-2020

If you have dev resources, or want to write some code yourself, it's easy enough. You could set up a campaign to react to the changes you care about on records that adds the records to a static list. Then stand up a cron job in python or something that runs every 15 minutes, which simply pulls off that static list and requests your campaign with the webhook, and removes the records from the static list. This could be done in a few lines of python using the rest api package out there. Happy to help if needed.

Erik_Larson · ‎09-18-2020

Yeah I've done this and it's fairly easy if you have a sitemap. You can crawl the pages extracted from the sitemap, parse the HTML, and return URLs with Marketo forms. Feel free to message me, I have some code that does this and can run it over your site.

Erik_Larson · ‎12-03-2018

Yeah one way that comes to mind is to enqueue a separate job. For example you could kick off a "no phone number" job where you grab the records w/o a phone number, drop the phone column, and import these records.

Erik_Larson · ‎11-25-2018

Here's some code to get you started: quick_detect.py · GitHub. This uses a few simple, but useful filters (e.g First Name == Last Name). Let me know if you need any help with your implementation and/or extending this code.

Erik_Larson · ‎10-27-2018

I've implemented a server-side solution that your developers could try. Basically you can collect leads in a static list, pull from this list every N minutes, and run some code against the records in the static list. I've found using a model that scores how real a First/Last name looks, and checking against blacklisted IPs based on form fill frequency are both useful. Happy to post some code if you're interested, just let me know.

Erik_Larson · ‎07-16-2018

Sure, just created a gist: marketo_bulk_extract.py · GitHub

Erik_Larson · ‎07-15-2018

Yeah you can programmatically access smart lists. The general flow is to create the bulk job, grab the job id, enqueue the job, and export when the job status hits complete. I have some code that I can send over if it would be helpful, just let me know.

Erik_Larson · ‎02-19-2018

Based on what I see here: https://www.fullcontact.com/blog/asynchronous-delivery-with-webhooks-and-testing-locally/ it seems that Marketo is just acting as the API Consumer in the diagram. As Sanford Whiteman mentioned you could call the service again and get the 200 response with the enriched data, but you might be charged for 2 credits, one for the 202, and one for the 200. For a task like this you could spin up a few AWS lambdas to make the necessary GET/POST requests, and one lambda could be attached to an API gateway that handles the POST callback behavior. Does this enrichment need to happen in real-time as leads route, or is it a batch process where you use your monthly credits at once?

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