Available for new data projects

Public web data,
delivered as clean rows.

PyScraping builds and runs custom collection workflows across Amazon, TikTok, Instagram, and 15+ more platforms — then hands back structured CSV, JSON, or an API-ready feed your team can use without cleanup.

19+
platforms covered
5
delivery formats
~48h
typical first delivery
100%
public sources

Sources we collect from

AmazoneBayWalmartEtsyAliExpressLazadaTikTokInstagramFacebookYouTubeX (Twitter)LinkedInRedditIndeedGlassdoorZillowAirbnbBooking.comYelpTrustpilotCustom Sites
What you receive

You define the fields. We return them typed and consistent.

Every record arrives in the same shape on every run — no half-parsed pages, no manual reshaping. Load it straight into a spreadsheet, a warehouse, or your own product.

CSVExcelJSONAPIDatabase
record.schema
fieldtypeexample
platformstring"amazon"
product_idstring"B0CX23V2ZK"
titlestring"Wireless Mouse 2.4G"
pricenumber19.99
ratingnumber4.6
reviewsinteger1284
in_stockbooleantrue
captured_atdatetime2026-06-08T09:12Z
What we do

A focused service, not a generic tool

We do four things, and we do them around your requirements — from a single export to a pipeline that runs for years.

01

Custom web scraping

Tailored extraction for marketplaces, directories, social platforms, and any public site. You bring the target and the fields; we build the workflow around them.

02

E-commerce & social data

Product, listing, pricing, review, and public-profile data across 19+ major platforms — collected to a consistent schema you can compare over time.

03

Recurring monitoring

Scheduled collection for price changes, stock shifts, seller activity, and market signals. A feed that refreshes on your cadence, not a one-off snapshot.

04

Delivery that fits your stack

CSV and Excel for analysts, JSON and a live API for engineers, or direct database loads — whatever drops cleanly into your existing process.

How it works

From spec to delivery in three steps

Start a project
step 01

Send the spec

Platform, target URLs, the exact fields you need, update frequency, and preferred format.

step 02

We build the workflow

We define the collection logic, handle the platform's quirks, and agree the delivery plan.

step 03

Receive clean data

Structured, typed, normalized records delivered as files or an API-ready feed.

What working with us looks like

The commitments behind every project

You own the spec

You define the platform, fields, frequency, and format. We build around your requirements rather than handing you whatever a generic tool returns.

Public data, collected responsibly

We focus on publicly accessible information and respect platform terms and reasonable rate limits. No accounts, no gated content.

Clean, typed, consistent

Fields are normalized so every record lands the same shape on every run — ready to load and analyze without a cleanup pass.

One-time or on a schedule

Take a single research export, or set up a recurring feed that refreshes automatically and reconciles failed runs.

Tell us what data you need.
We'll build the pipeline.

Share your target platform, the fields you need, how often you need them, and your preferred format. We'll scope the right workflow for your team.