use case · data pipeline

Add any website to your data pipeline

MeshArc is the web data extraction layer your data pipeline is missing. It crawls the sites you choose on a schedule, turns pages into clean rows and upserts them into your warehouse, so web data arrives the same way as every other source.

No card. 1,000 credits to start. Blocked pages, 404s and unchanged pages are never charged.

01the problem

Why web data breaks most data pipelines

Internal systems have APIs. Websites do not. So teams write a scraper, add a cron job, bolt on a loader and hope nothing changes. Then a layout shifts, a site starts blocking, or the job re-inserts the same 50,000 rows, and someone loses a week.

MeshArc treats the web as a managed source.

  • Reliable extraction: blocked pages retry through progressively stronger methods, and you are never charged for a failure.
  • Only new and changed rows: every run is compared with the last, so your ingestion receives inserts, updates and deletes rather than full reloads.
  • A schema you control: declare the fields you want and MeshArc fills them from the page’s own structured data, or from your own AI model on your own key.
  • Loading included: rows are upserted by URL and content hash, with a change_class column, so every table carries its own history.
02extract, transform, load

How it fits your ETL pipeline

  • Extract: point MeshArc at a site or a section (/products/*). It discovers pages from the sitemap and follows links.
  • Transform: map, filter and cast fields without code — price to a number to cents, published_at to a date, raw HTML dropped.
  • Load: push to your destination after every run, previewing the shape against the last run before you save it.
03delivery

18 destinations, on every plan

Pushing data costs nothing: you pay for the pages read, not for where the rows land.

KindWhere rows land
Object storesAmazon S3 (and S3-compatible), Google Cloud Storage, Azure Blob, local disk
WarehousesBigQuery, Snowflake, Redshift, Databricks
DatabasesPostgreSQL, MySQL, MongoDB, ClickHouse
Vector storesPinecone, Qdrant, Weaviate, pgvector
StreamsKafka, HTTP webhook

Prefer to pull? Export any run as CSV or JSONL through the API.

04the alternative

Compared with building it yourself

A scraper, a cron job and a loaderMeshArc
Handles blocks and JavaScriptYou build and maintain itAutomatic
Cost of failed requestsYour infrastructure billNever charged
Loads only changed rowsYou write the diff logicBuilt in
Alerts when a field breaksUsually found on a broken dashboardAutomatic alert
Time to first tableWeeksMinutes
05what people load

Popular sources

  • Product catalogues and price lists
  • Directories and listings sites
  • Job boards and careers pages
  • Government and regulatory publications
  • News and press releases
  • Documentation sites
questions

Frequently asked questions

What is a web data pipeline?

A web data pipeline extracts data from websites, transforms it into a consistent structure and loads it into a database or warehouse on a schedule, like any other ETL pipeline. MeshArc runs the whole thing as a managed service.

Is MeshArc a data pipeline tool or a scraper?

Both. It is a web scraping API at its core, with the pipeline parts — scheduling, change detection, transformation and loading — included, so web sources do not need separate tooling.

Does it replace my existing ETL tools?

No. It becomes one more source for them. Many teams land MeshArc data in S3 or Postgres and let their existing pipeline take over.

Make the web one more reliable source

One project, one schedule, one destination. The first 1,000 credits are free.