Online groceries

Product pricing (geo-targeted)

Geo-targeted grocery prices, promotions, and delivery fees are collected for specific products across competitors and localized delivery zones. Pricing differs by neighborhood, city, or postal code, which makes a fragmented view of competitors easy to end up with and an accurate one hard. Our data shows what each competitor charges in each zone, down to the postal code.

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

Local prices are spread across postal codes and zones

Localized pricing behind aggressive anti-bot measures and IP blocking makes geo-targeted pricing data costly and unreliable to build in-house. Specialists in enterprise data scraping, advanced matching, and proxy management take on the work, free your resources, and guarantee data quality.

Price gaps between postal codes

Online grocers struggle to capture localized price discrepancies, promotional offers, and fluctuating delivery fees across neighborhoods, cities, or postal codes. Clients often report a fragmented view of competitor pricing and missed opportunities or weak pricing in specific micro-markets.

Margins lost in micro-markets

Imprecise geo-targeted pricing data costs market share in competitive zones and shrinks profit margins through misaligned prices. Companies also react slowly to localized competitor strategies, which hits the bottom line and strategic agility.

IP blocking on localized platforms

Localized online grocery platforms combine aggressive anti-bot measures, dynamic content rendering, and IP blocking, which makes geo-specific extraction at scale hard. Non-specialist teams face constant infrastructure breakdowns, data gaps, and sources they cannot reach.

Data teams stuck on scraper upkeep

Building and maintaining geo-targeted scraping infrastructure in-house uses up engineering and data science talent. Those teams lose time for core product development and strategic innovation, and the company's primary business objectives slip.

Our solutions

Zone-level grocery pricing data for your pricing team

Zone-level prices, promotions, and delivery fees come from one managed process: scraping, matching, manual checks, and automated QA. Your pricing team gets the local picture without building it.

Prices and fees by coordinates

Our scraping infrastructure captures granular pricing, promotional offers, and delivery fee data for specific geographic coordinates. You get one unfragmented view of local market dynamics.

Faster local pricing decisions

Accurate, timely geo-targeted pricing data lets you adjust strategies early, grow market share, improve profit margins, and keep a competitive edge across your operating regions.

Data flow backed by a 99.9% uptime SLA

A proprietary proxy network, anti-bot evasion techniques, and monitoring keep high-volume data coming from the most challenging online grocery platforms. Technical barriers stay on our side, and collection is backed by a 99.9% uptime SLA.

No in-house scraping team needed

Geo-targeted pricing data acquisition moves to our fully managed service. Operational overhead drops, in-house scraping teams become unnecessary, and your experts focus on analysis and growth.

Other use cases

Geo-pricing data for other online grocery jobs

Besides geo-targeted pricing, our end-to-end service runs high-volume scraping, intelligent 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

Geo-targeted pricing projects start here

Geo-targeted product pricing is complex, and a dedicated online groceries data specialist on our team understands it well. If you want a solution tailored to your unique business needs, they can shape it with you.

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