Apify Python SDK
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Scraper API
ScrapingBee
Oxylabs
MapiLeads
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DataVance.com.au
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Fivetran
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Duplicates get paid, altered bank details go unnoticed, over-billing slips past - accounts payable is where document errors turn into money. Before an invoice reaches the payment run, DVAP has extracted it with per-field confidence, checked ABN and GST details, scored it 0-100 for fraud with named reasons, compared it against everything previously received, and matched it to the purchase order - 2-way or 3-way. 87% of documents pass straight through with no human touch; the rest arrive flagged with the reason attached. What you are buying is measured: every accuracy figure - 99% on totals, 100% on invoice dates - comes from public benchmarks and is published openly, weak spots included, so evaluation happens before purchase. Clean rows export in SAP, NetSuite, Xero, Dynamics, Oracle, QuickBooks, MYOB, and Sage layouts. Free tier to trial; volume pricing by monthly documents; SLA, changelog, and Australian data residency behind it.
Apify Python SDK
DataVance.com.auDataVance.com.au's answer:
DataVance is a solo-founded Australian business built on one idea: where being wrong costs money, software needs someone accountable behind it. DVAP is its first product โ invoice processing with every accuracy number measured and published, an SLA, and a changelog. No black boxes, no unverifiable claims.
DataVance.com.au's answer:
What you are buying is measured: every accuracy figureโ99% on totals, 100% on invoice datesโcomes from public benchmarks and is published openly, weak spots included, so evaluation happens before purchase. Clean rows export in SAP, NetSuite, Xero, Dynamics, Oracle, QuickBooks, MYOB, and Sage layouts.
DataVance.com.au's answer:
Finance and AP teams in businesses that process invoicesโespecially those doing high-volume accounts payable, from mid-market enterprises to smaller firms wanting automated screening before payment runs.
DataVance.com.au's answer:
DVAP exists because invoice errors cost real money and most software never says how often it is wrong. It publishes its accuracy field by field: 99% on totals, 100% on invoice dates, 87% straight-through, measured on public benchmarks and served live by the API. A solo Australian founder maintains it with an SLA and a changelog, so there is a person accountable for keeping it correct as tax rules and fraud patterns change.
Based on our record, Apify Python SDK seems to be more popular. It has been mentiond 2 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
To overcome these challenges, we will utilize the Apify SDK for Python and Residential Proxies, which enable us to route requests through legitimate devices, making our traffic indistinguishable from real users. - Source: dev.to / 8 months ago
Then add Apify SDK for Python as a project dependency:. - Source: dev.to / over 1 year ago
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