Tell us what to scrape. We deliver the data.
Custom web scraping, delivered as a managed service. Send us a brief — public sources, fields you need, format your pipeline expects. Our team builds the scrapers, runs the cluster, handles anti-bot, and drops cleaned datasets into your S3, BigQuery, Snowflake, Postgres, or Google Sheet. No infra to manage on your side.
Quote within hours · NDA on request · public web only
SOURCE
realtor.example.com — listings under $500K, all 50 states
FIELDS
address, price, beds, baths, sqft, list_date, agent
FORMAT
parquet, daily drop to s3://acme-data/realestate/
VOLUME
~200k listings refreshed daily, 30-day history
Why teams come to us.
When you need data, not a scraping project. We absorb the engineering — you get a clean dataset on schedule.
You describe the goal
A brief — sources, fields, schedule. We figure out the scraping.
See the process →Any source, any volume
E-commerce, real estate, SERPs, jobs, news, regional portals. One-shot or recurring.
What we cover →Delivered to your stack
CSV / JSON / Parquet / SQL. Drop into S3, GCS, SFTP, BigQuery, or a Google Sheet.
Format details →From brief to first delivery in days, not months.
Send us a description of what you need — a couple of paragraphs, a list of source URLs, a sample row of the schema you want. We come back with a fixed quote and a sample within hours, ship the first dataset within 3–10 business days, and keep the scraper running for as long as you want it. The same infrastructure underneath — Headless Chrome, residential and datacenter proxies, retries — that powers the self-serve Web Scraping API.
- Quote within hours · sample within a couple of days
- Fixed-price per dataset or monthly retainer for recurring feeds
- We maintain the scraper — site changes are on us
Whatever's on the public web, we can scrape.
E-commerce catalogs, real estate listings, SERP results, job boards, news sites, review platforms, regional portals, custom verticals. If a human can browse to it without a login, our team can build a scraper for it.
- Public web only — we follow ToS &
robots.txt - Cloudflare / Akamai / PerimeterX-protected sources handled
- Multi-region geo-targeting where local IPs see local content
Drops into your stack in the format you want.
Tell us where the data should land — your S3 bucket, SFTP server, BigQuery dataset, Snowflake table, or a Google Sheet — and in what format. We handle the upload, the schema, and the schedule. Each delivery is schema-validated, deduped, and spot-checked before it lands. Need LLM-ready Markdown for RAG indexing instead of structured rows? We deliver that too.
- Formats: CSV / JSON / JSONL / Parquet / SQL dump
- Channels: S3, SFTP, webhook, Google Sheet, BigQuery / Postgres / Snowflake
- Schedule: one-shot, daily, weekly, or custom cron
Clean data on every delivery.
Every dataset passes a schema check, dedup pass, and field-level normalization before it leaves our hands. Recurring feeds get monitored on row counts, schema drift, and source-site changes — you get a Slack or email alert before bad data lands in your pipeline.
- Schema validation, dedup, and normalization on every run
- Manual spot-check before every recurring delivery
- Slack / email alerts on row-count drops or source changes
Datasets we deliver.
Common briefs we hear — yours doesn't have to fit any of these.
LLM training corpora
Bulk-fetch public web pages by topic, language, or domain — delivered as cleaned text or JSONL ready to feed into a fine-tune.
Talk to us →Competitive datasets
Pricing, catalogs, reviews, or assortment from a list of competitor sites — refreshed daily, weekly, or one-shot.
Talk to us →Real estate & classifieds
Listings + history from regional portals. Address normalization, dedup, and price-change tracking included.
Talk to us →Job & talent data
Listings from boards, company sites, or regional portals. Skills, salary, location parsed out for you.
Talk to us →Brand & review monitoring
Track mentions, ratings, sentiment across forums, marketplaces, and review sites — alerts on threshold changes.
Talk to us →Lead enrichment
Take your list, return the enriched fields — public profiles, company data, tech stack, location.
Talk to us →What teams are saying.
From solo developers shipping side projects to enterprise pipelines at Fortune 500s.
★★★★★ 5.0 on Capterra →★★★★★“Onboarding and API integration was smooth and clear. Everything works great. The support was excellent.”
★★★★★“Great communication with co-founders helped me to get the job done. Great proxy diversity and good price.”
★★★★★“This product helps me to scale and extend my business. The setup is easy and support is really good.”
Frequently asked questions.
Still curious? Get in touch with our team — we usually reply within hours.
What is custom web scraping as a service?
Custom web scraping as a service is a managed alternative to building scrapers in-house: you describe the data you need (sources, fields, format, refresh cadence), and a vendor team builds, runs, and maintains the scrapers, delivering cleaned datasets straight into your stack. ScrapingAnt has been doing this since 2020 — you skip the infra (Headless Chrome, residential / datacenter proxies, anti-bot, retries, schema validation) and get a recurring data feed instead. If you'd rather drive the scraping yourself, our Web Scraping API and AI data scraper give you the same primitives DIY.
What does the engagement look like?
You send us a brief — what data, from where, in what format, how often. We come back within a few hours with a sample, a quote, and a timeline. Most one-shot datasets ship in 3–10 business days; recurring feeds usually start delivering within a week.
You don't need to write a spec — a few sentences and a list of source URLs is enough. We'll iterate from there.
How is custom scraping pricing structured?
Per dataset for one-shot work, per refresh for recurring feeds. We quote a fixed price after seeing the brief — no metered surprises, no per-row markup. For long-running feeds we offer monthly retainers.
Failed runs and re-deliveries because of source-site changes are on us; we maintain the scrapers as long as the contract is active.
What formats and delivery channels do you support?
CSV, JSON, JSONL, Parquet, SQL dump, or whatever your pipeline expects. Delivery channels: direct download, S3 bucket, GCS bucket, SFTP, webhook on completion, Google Sheet, or BigQuery / Postgres / Snowflake direct loads. If you need LLM-ready Markdown for RAG indexing instead of structured tables, we deliver that too. Tell us what fits your stack.
Is the scraped data legally collected?
Yes. We only scrape public web data — pages reachable without a login or paywall. We respect robots.txt as a baseline and won't scrape sources that explicitly prohibit it in their ToS. If a project requires a different posture, we'll flag it during scoping.
Can you sign an NDA before we share details?
Yes — we routinely sign mutual NDAs and DPAs before sharing samples or scoping sensitive briefs. Sole-use clauses are available for verticals where exclusivity matters.
How do you handle data quality on custom feeds?
Every dataset goes through schema validation, deduplication, and a manual spot-check before it leaves our hands. For recurring feeds we set up monitoring on row counts, schema drift, and source-site changes — you get a Slack / email alert before bad data lands in your pipeline.
Do you do one-time projects or only ongoing scraping engagements?
Both. Some clients come to us for a single dataset to seed a model or analysis. Others stay for years on weekly or daily refreshes. We're happy with either — there's no minimum commitment for one-shot work.
When should I pick the managed service over the self-serve API?
Pick custom scraping when you don't want to own the scrapers — you want a clean dataset on a schedule and a team that maintains it through site re-skins. Pick the self-serve Web Scraping API, AI data scraper, or MCP server when you want to drive the scraping yourself and just need rendered HTML / typed JSON / live web access from your code. Same infrastructure underneath; different operational model on top.
Tell us what data you need. We handle the rest.
A few sentences and a list of source URLs is enough — no formal spec required. We'll come back within hours with a quote, a timeline, and a sample row. NDA on request.
“Our clients are pleasantly surprised by the response speed of our team.”
