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#thecompaniesapi lots of cleanups on the bot ; continuing sources rework ; prepare api <=> bot communication ; working towards enabling on-demand scans for our users
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working on some a few scrapers for pulling in data vs. just using sheets #daysuntillatenight
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#thecompaniesapi subdomains support ready for merge ; swap efforts back on AI to start creating the datasets ; added new extractions steps last missing main table datapoints, we can now fill all our columns with combination of website + ai extraction! next step fine tuning
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✏ more work on new scraper to get more events #conf
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#thecompaniesapi pushing towards new schema implementation ; still working on containerizing the whole infra to improve stability ; enable user/team tagged jobs for credits consumption
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tested scraper api, & planned out the flow #remote3
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pulled in a new csv scraper data for #daysuntillatenight
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new scrapers for #sportsjobs
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#thecompaniesapi making all fields sortable in our companies table ; also adding `Synced At` field as our database is now live-updated; last mile before clients can see the db grow in live!
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relaunched the scraping machine #thecompaniesapi
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#trackfootball first real users, data wrangling, minor improvements, networking
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🔨 Updates scraper-proxy tool and rewriting/refactoring from the ground up to handle structured data
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scrape 500+ data
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looking into some new scraping issues
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implement ui for new #crisp ai website scrapper
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addition of scrapped data to the db (3 of 4) #mimesis
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starting preparing deployment of scrapper to be used with #feedbackbasket
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build more scrapers #pagesonpages
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put manually enqueued scrapers in a higher priority queue cause onboarding of new users too slow if we've ran the automatic scrapers and the queue was full #reva
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move all scrapers and robots into cron jobs
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