Online groceries

Pack size matrix & unit pricing

Compare pack sizes and unit prices across online grocery retailers, from 200g and 500g packs to 1kg and multi-packs. Converting them to one standard unit price is complex and error-prone, so accurate competitive intelligence needs a reliable partner. We deliver it as one standard unit price per product, ready to compare.

Enterprise scraping and matching from 5,000+ sources.

DoubleData is not affiliated with or endorsed by the companies shown.

  • Uber Eats
  • Getir
  • Eventim
  • Booking.com
  • Audible
  • Skyscanner
Common problems

Pack sizes and promotions break unit price comparisons

Pack size and unit price data shifts with frequent price changes and sits behind anti-bot measures, so in-house efforts soon become resource-intensive and struggle with scale and accuracy. Dedicated specialists run the data scraping, matching algorithms, and proxy infrastructure, and keep a consistent flow of reliable data that few internal teams can sustain.

No baseline for cost per unit

Online groceries list products in many pack sizes (e.g., 200g, 500g, 1kg, multi-packs). Converting them to a standard unit price (e.g., price per 100g) across retailers, variants, and promotional offers is complex and error-prone, and clients lack a standardized baseline for true cost comparison.

Rivals' value per unit misread

Inaccurate unit pricing data leads to weak pricing decisions, missed promotional opportunities, and a diluted competitive edge. Businesses may overprice or underprice without knowing the true 'value per unit' rivals offer, and market share and profitability suffer.

IP blocks and CAPTCHAs at scale

Grocery platforms use dynamic pricing, change pack sizes and promotions often, and add anti-bot measures on top. Large-scale, consistent data capture becomes extremely difficult for non-specialist teams, who run into IP blocks, CAPTCHAs, and incomplete datasets.

Data science time lost to upkeep

An in-house infrastructure for pack size and unit pricing data pulls engineering and data science teams away from core product development. Proxy management, anti-bot circumvention, and data quality assurance keep them busy with non-strategic, high-maintenance tasks.

Our solutions

Pack size and unit price data, standardized

Pack sizes from 200g to multi-packs only compare once they are matched and converted. Our team handles the scraping, the matching, manual checks, and automated QA, and you get unit prices ready for analysis.

Unit prices on one standard basis

We collect pack size variations and apply algorithms that standardize unit pricing across products, brands, and retailers in online groceries. You get a consistent, comparable view of competitive value without the conversion work.

Pricing moves based on value per unit

Your team sees granular data on competitor pricing and promotional tactics. Pricing adjustments and targeted campaigns become data-driven, which makes you more responsive to the market and more profitable.

Collection backed by a 99.9% uptime SLA

Enterprise-grade web scraping infrastructure, proxy networks, and adaptive anti-bot circumvention techniques keep high-frequency collection reliable on the most challenging online groceries platforms, backed by a 99.9% uptime SLA, for accurate datasets.

Developer bandwidth returned to your teams

Once you outsource pack size and unit pricing data to us, developer and data science bandwidth comes back. Your teams concentrate on core business innovation and strategic analysis and work from our data without the operational load.

Other use cases

Pack size data for other grocery jobs

Besides pack size and unit pricing, our team runs services from scraping to sophisticated data matching and full infrastructure management for the online groceries use cases below.

Out-of-stock (OOS) & availability alerts

See which competitor grocery products go out of stock and which delivery slots fill up, platform by platform. Book a demo.

Online groceries

Numeric distribution (ND) & product density

See where your brand is thin on the shelf with numeric distribution and product density across online grocery storefronts. Book a demo.

Online groceries

KVI & basket value analysis

Find the price-sensitive products that drive online grocery spending and cart value, matched across grocers. Book a demo.

Online groceries

Inventory turnover signals

Anticipate market shifts by seeing how quickly online grocery competitors move stock, from fresh produce to shelf-stable goods. Book a demo.

Online groceries

Delivery areas & dark store locations

Plan your expansion with the delivery areas and dark store locations of online grocery competitors.

Online groceries

Competitor ratings & review sentiment

Learn where shoppers rate rival online grocery services higher or lower, from platforms, social media, and app stores. Book a demo today.

Online groceries

Cart fees & service surcharges

See how rival online grocers price the cart, with delivery, service, and small order fees by location and basket size. Book a demo today.

Online groceries

Average ETA vs. distance

Average ETA vs. distance data for online groceries: competitor delivery estimates by distance, from our managed data service. Book a demo today.

Online groceries

Assortment gap analysis

Assortment gap data for online groceries: find the products and categories competitors offer and you do not, from our managed service. Book a demo.

Online groceries

Showing 9 of 18

Map your pack size and unit pricing data

Pack size and unit pricing questions are what our dedicated online groceries specialist knows in depth. If you want to talk through your unique data requirements, they are ready to discuss them and show the impact of our solution.

Running a quick security check…

We use these details to reply to your request. See our Privacy Policy.

  • A dedicated data expert assigned to your case
  • No obligation, free consultation
  • Full support from scoping to delivery