DHL is a group, not one carrier: Express, Paket, eCommerce, Freight and Forwarding each publish prices, surcharges and notices on a clock of their own. We turn them into one dated DHL feed.
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CSV · Excel · JSON · XML · FTP · SFTP · Amazon S3 · Google Cloud
API, JSON feed or CSV, XLSX and JSON files
ScheduleOne-time, monthly, weekly, daily or 3 times a day
DHL pages, filters, fields and a schedule
Built, monitored and repaired by our team
API, JSON feed or CSV, XLSX and JSON files
Much of dhl.com turns away plain automated clients, dhl.de and each country site keep their own layouts, and some of the tables arrive as documents rather than pages. That is the work we take on: anti-bot handling, proxy rotation and CAPTCHA solving, one pass per division and country site, and parsers that turn a surcharge table into typed rows with currency, unit and effective period. The result works as a DHL tracking API for your own numbers and a dataset for everything DHL publishes: Express fuel weekly, eCommerce fuel and the energy surcharge on their reset days, demand surcharges when a window opens, notices daily, locations monthly. We extract DHL data as JSON through our API or as CSV and XLSX files. No logins, no paywalls, no recipient names.
Most DHL price data sits in tables that change on a timetable, so every row we deliver carries the division, country site, currency, unit and effective period it was published for. DHL surcharges also differ by site: the German Elevated Risk list includes Israel and the US list does not, and the Restricted Destination lists part ways on Cuba and Zimbabwe.
Negotiated account rates stay behind MyDHL+ and business logins, so the data shows the published shelf, not one contract.
The second large dataset is the network. The DHL location finder on dhl.de, branded DHL Finder, covers DHL Packstation and Poststation machines, Paketbox drop boxes, post office branches, DHL Paketshop partners and carrier-neutral DeinFach lockers, and DHL itself currently counts more than 19,000 Packstations and Poststations. Across Europe and in Express markets the same records describe each DHL service point, locker and drop-off counter.
A DHL scraper has to start with a map of the group, because DHL is not one website. dhl.com is the portal of DHL Group and currently runs 256 locale sites for 150 countries plus a global edition in 39 languages (September 2026), and markets served by DHL Express alone open on a separate MyDHL+ site instead. Behind that front door the divisions publish in different places and on different clocks. DHL Express sells time-definite international and domestic shipping and posts surcharge tables, weekly fuel percentages and service notices country by country. Post & Parcel Germany sells DHL Paket and Paeckchen on dhl.de, with its own price lists, the Packstation network and the DHL Finder. DHL eCommerce moves domestic and cross-border parcels for high-volume shippers under its own fuel, delivery area and peak rules. DHL Freight publishes European road freight transit times and terminal lists, DHL Global Forwarding posts air and ocean surcharge lists and dated customer advisories, and DHL Supply Chain describes contract logistics rather than prices.
Only tracking is shared. The dhl.com tracking page answers for eighteen services - express, parcel-de, parcel-uk, parcel-nl, parcel-pl, parcel-cz, several eCommerce units, freight, dgf, dsc, sameday and svb - and every status lands in one of five groups: pre-transit, transit, delivered, failure or unknown. Everything else is split, so DHL data scraping is scoped by division and country site, never by the brand alone.
Delivery: CSV, JSON or XLSX files, our API or a JSON feed. MCP server on request.
Full plan detailsA DHL price list read once is out of date within a week. DHL Express resets fuel weekly per country site, DHL eCommerce monthly, the Paket energy surcharge up to three times a month, and demand surcharges switch on for a peak window and off again. Teams that scrape DHL are usually after one of four answers.
A DHL price tracker built on dated rows answers all four questions; a single snapshot answers none.
Learn how to use web scraping to solve data problems for your organization
Data scraping is the wide term that includes documents, scans and old screens; web scraping is the part that works on websites. We compare sources, daily work, output and cost drivers, give a briefing checklist and walk through two of our projects.
Leveraging advances in technology, the AI-powered web scraper has skyrocketed in demand and is helping to expand capabilities by automating tedious daily tasks and speeding up data collection from thousands of websites several times over.
Web scraping is a method of obtaining web data by extracting it from pages of web resources with the help of a program, that is, in automatic mode. It is used to syntactically convert web pages into more usable forms.
ScrapeIt is a managed web scraping agency, not a tool to configure. You name the divisions, countries and fields; we build the collectors, run them on the clock each DHL table follows, watch them and repair them when a surcharge is renamed or a page is reshaped. You get documented columns that stay stable and a named engineer who knows the project. A sample comes first, so you can hold it against an invoice you already have before anything is scheduled.
Still unsure? Write to info@scrapeit.io
Yes. The ScrapeIt DHL API returns what DHL publishes as dated JSON: surcharge name, basis, amount, currency and effective period; fuel percentages by week, track and direction; demand surcharges by origin and destination region; Paket prices by product, weight class, zone and sales channel; service points with type, address, coordinates, opening hours, closures and services; and, for your own tracking numbers, status group, events, timestamps and the estimated delivery window. It runs on the schedule you set, and every delivery is also available as CSV and XLSX.
They are separate businesses with separate price logic. DHL Express sells time-definite international and domestic shipping, prices per country site and adds a weekly fuel percentage and a regional demand surcharge. DHL eCommerce moves domestic and cross-border parcels for high-volume shippers, with monthly fuel in dollars per pound plus delivery area and peak surcharges. DHL Parcel in Germany, sold as DHL Paket on dhl.de, lists fixed prices, zone prices abroad and an energy surcharge for business customers. Every row keeps its division, so the three never blend.
It depends on the division. DHL Express posts a new percentage every week on each country site, and some sites keep export and import or Air and Road apart. DHL eCommerce resets on the first of the month and shows the previous three months beside the current one. The Paket energy surcharge has a monthly long-term part and a short-term part that can move on the 1st, 11th and 21st. We collect each on its own clock and keep the history, so the series has no gaps and no guessed values.
Yes, for numbers that belong to you. You send the tracking numbers or piece IDs of your own shipments, and we return each status with its event history, timestamps, locations and estimated delivery window, refreshed while the parcels move. We do not track a DHL package that is not yours, and recipient names, addresses and signatures are left out. Express waybill numbers are reused over time, so piece IDs or your references keep old and new shipments apart.
We collect only publicly available data - everything a visitor can see on DHL - and we collect it legally. No logins, no paywalls: MyDHL+, business customer portals and negotiated account rates stay out of scope. Published surcharges, price lists, service points, notices and the status of your own shipments are in. Personal data such as recipient names, signatures and addresses is not collected, and anything personal that appears in a record is handled under GDPR.
You share your needs, expectations, and desired timeframe. We'll suggest the best solution based on your request and budget.
Our specialists configure the crawlers and extract a sample dataset for your review before proceeding with the full-scale extraction.
Once you approve the sample, we launch the project and start full data collection. We gather, filter, and structure the data for easy use, delivering it on time in your preferred format.
Our team manages ongoing processes, monitors website changes, and supports all data extraction cycles. We can also help integrate data into your systems or create dashboards to simplify analysis.
Tell us which sites, which fields and how often. A couple of lines is enough to start.
DHL data from €169/month. Free project assessment, reply within 1 business day.