New and used car prices, machinery, tenders, reviews and advertising. Data extracted from public sources, with a documented schema, a real downloadable sample and delivery in the format your team already uses.
Quick answer: The Rastriq catalog covers 28 OEM car brands, used cars, machinery, public tenders, reviews, advertising and directories, with 44 public samples of up to 100 rows in JSON and CSV and 109 public actors on the Apify Store. Delivery is as an Apify actor (API, CSV, JSON), as a licensed dataset (CSV, JSON or your own S3 bucket) or as a custom project.
Every dataset in the catalogue has a public sample of up to 100 rows, sanitised and downloadable as CSV and JSON. It is the same schema you will receive in the full delivery.
| Brand | Model | Year | Km | Price (EUR) | Region |
|---|---|---|---|---|---|
| Mitsubishi | Eclipse Cross | 2025 | 12673 | 25864 | Comunidad de Madrid |
| Renault | Captur | 2019 | 58982 | 10490 | Comunidad de Madrid |
| Citroen | Jumpy | 2020 | 116591 | 12355.37 | Comunidad de Madrid |
| Volkswagen | Polo | 2021 | 216000 | 8950 | Comunidad de Madrid |
| Peugeot | 5008 | 2019 | 77687 | 15955 | Comunidad de Madrid |
| Nissan | Juke | 2022 | 124050 | 11990 | Comunidad de Madrid |
Real rows from the Wallapop (cars) sample. No personal data; the full file has 100 rows.
Each row links to the public actor that produces the data and to its downloadable sample. We do not publish list prices because cost depends on volume, frequency and licence: it is agreed with you after you have seen the sample.
| Source | Key fields | Frequency | History | Sample |
|---|---|---|---|---|
| 28 manufacturer brands | market, model, trim, price, currency, powertrain | Weekly or monthly | Snapshots accumulated by your schedule | 26 samples |
| Source | Key fields | Frequency | History | Sample |
|---|---|---|---|---|
| Coches.net · car listings in Spain | make, model, year, mileage, price, fuel type, province | Daily or weekly | Snapshots accumulated by your schedule | CSV · JSON |
| Wallapop · used cars | brand, model, trim, year, mileage, gearbox, price | Daily or weekly | Snapshots accumulated by your schedule | CSV · JSON |
| Milanuncios · cars | title, price, taxes included, mileage, year, fuel type, province | Daily or weekly | Snapshots accumulated by your schedule | CSV · JSON |
| Chileautos · cars in Chile | brand, trim, year, price, mileage, body type, region | Daily or weekly | Snapshots accumulated by your schedule | CSV · JSON |
| AutoTrader UK · cars in the UK | make, model, year, price, condition, city | Daily or weekly | Snapshots accumulated by your schedule | CSV · JSON |
| Source | Key fields | Frequency | History | Sample |
|---|---|---|---|---|
| Car & Classic · classic cars | brand, year, price, mileage, availability | Weekly | Snapshots accumulated by your schedule | CSV · JSON |
| Source | Key fields | Frequency | History | Sample |
|---|---|---|---|---|
| MachineryTrader · used equipment | category, make, model, year, hours, location, price | Weekly | Snapshots accumulated by your schedule | CSV · JSON |
| MachineryZone · used equipment in Europe | category, make, model, year, hours, country, price | Weekly | Snapshots accumulated by your schedule | CSV · JSON |
| Surplex · online industrial auctions | category, make, model, year, condition, location, starting price | Weekly | Snapshots accumulated by your schedule | CSV · JSON |
| Tiebaobei · used equipment in China | category, brand, model, hours, year, province, price CNY | Weekly | Snapshots accumulated by your schedule | CSV · JSON |
| Source | Key fields | Frequency | History | Sample |
|---|---|---|---|---|
| XCMG · specification catalogue | model, category, series, sheet URL | Quarterly | Current catalogue; versions under project | CSV · JSON |
| Source | Key fields | Frequency | History | Sample |
|---|---|---|---|---|
| BOE · official gazette entries | identifier, title, section, department, publication date, HTML/XML/PDF links | Daily | History by date range | CSV · JSON |
| Source | Key fields | Frequency | History | Sample |
|---|---|---|---|---|
| Amazon · product reviews | ASIN, rating, title, text, date, verified purchase, marketplace | On demand per ASIN | Dated reviews; incremental loads | CSV · JSON |
| Source | Key fields | Frequency | History | Sample |
|---|---|---|---|---|
| Google Ads Transparency Center · ads | domain, format, first shown, last shown, days running, region | Weekly | First and last shown dates | CSV · JSON |
| Source | Key fields | Frequency | History | Sample |
|---|---|---|---|---|
| TikTok Creative Center · trending hashtags | country, period, rank, hashtag, industry, posts, views | Daily | Snapshots accumulated by your schedule | CSV · JSON |
| TikTok · search results | type, title, views, likes, comments, shares, hashtags | Daily | Snapshots accumulated by your schedule | CSV · JSON |
| Source | Key fields | Frequency | History | Sample |
|---|---|---|---|---|
| Google Maps · business listings | name, category, city, region, rating, reviews, website | Monthly or on demand | Snapshots accumulated by your schedule | CSV · JSON |
| Source | Key fields | Frequency | History | Sample |
|---|---|---|---|---|
| Europages · B2B directory | company, country, city, category, products, website | On demand | Snapshots accumulated by your schedule | CSV · JSON |
The frequency shown is the one we recommend for each kind of source; you decide how often it refreshes. History is built from your scheduled runs, or under a project if you need earlier series.
The catalogue is built on the 109 actors Rastriq keeps published on the Apify Store. If your source is not listed, we build it as a custom project.
Choose the service level that fits your team. You can start with self-service and move to a licensed dataset when you need volume or a normalized schema.
For recurring loads, delivery plugs into your stack: a table in your data warehouse, a file in an S3 bucket or a call to the Apify API. If you work with several sources in the same sector, data normalization unifies field names, currencies and categories so you can join them without manual mapping.
All datasets are governed by Rastriq's data licence. We work with public product data, with no personal data.
The buying process is short and always based on real data: you see the file first, then we talk volume.
Up to 100 real rows per source, sanitised and free of personal data, as CSV and JSON. It uses the same schema as the full delivery, so you can test your load and joins before buying.
You choose the frequency: daily, weekly or monthly depending on the source. With self-service you schedule the actor on Apify; with a licensed dataset it is agreed in the contract.
History is built from scheduled runs from the moment a source is switched on. If you need earlier series, we assess it as a project depending on what the source allows us to recover.
CSV, JSON, an Apify dataset with API access and delivery into your own S3 bucket. For recurring deliveries we can adapt the schema to the table you already use.
No. The datasets contain public product data such as prices, trims, listings and dates. We exclude phone numbers, emails, private individuals' names and other personal data.
It depends on the source, volume, frequency and licence. With self-service you pay per result on Apify; for a licensed dataset we send a proposal after reviewing your sample and requirements.
Tell us which dataset interests you and we will send an extract with your filter. The public samples are also available instantly.
We build new extractions on demand and deliver them with a stable schema.