fFastscraping
4 active storiesBecome a case
ISSUE 12 · 2026A FASTSCRAPING PUBLICATION
Stories from production pipelines

TheCasebook.

Filter
Sort · most recent
SECTION · STORY 01Theticketingpipeline.FICSTAR × FASTSCRAPING · SINCE 202401USA · CA · EUDAILY · 15MPRODUCTIONSINCE 2024FEATURED STORY · 01 / 08READ TIME · 6 MIN
FEATURED
Ticketing · Real-time pricingClient · Ficstar

Replacing a fragile in-house StubHub scraper with a real pipeline.

Ficstar runs ticketing intelligence for resellers. Their old scraper broke every other week — Cloudflare changes, IP bans, parser drift. We replaced it with a daily pipeline that hasn't missed a delivery in fifteen months.

15M
Listings · daily
0
Missed deliveries · 15 mo
−72%
Cost vs in-house
9d
From brief to production
THE BRIEF

"Our internal scraper for StubHub and SeatGeek breaks every two weeks. We need someone who actually owns the bypass problem so we can stop firefighting and ship product."

THE CALL

Instead of patching the old scraper, we rebuilt the pipeline around stealth headless browsers with real TLS fingerprints and rotating residential identities. We added auto-adaptation for selector drift and 50+ QA gates per dataset.

THE RESULT

Daily delivery for 15+ months without a single missed run. 72% cheaper than running it in-house once you add up engineering time, proxies, infrastructure, and on-call. Ficstar's team got their roadmap back.

"

You're doing a great job with the Indeed US numbers over the last couple months. Thank you for your efforts — much appreciated!

SV
Scott Vahey
Owner, Ficstar
Stack
Stealth headlessResidential rotationCloudflare bypassSnowflake delivery50+ QA gates

More stories.

Seven more client engagements, organized by industry. Each one a different problem, a different stack, a different lesson.

STORY 02 · REAL ESTATESWITZERLAND
02
Real estate · APITheDataHive

"Most likely no one is able to do it except you."

Custom APIs across ImmoScout24, Homegate, and 4 more Swiss portals — multi-source, daily refresh, single schema. Anonymous, white-labeled, no attribution.

1.2MListings · daily
6Sources unified
CHCoverage
Read the case →
inSTORY 03 · B2B DATA100M+ profiles · zero bans
03
LinkedIn · StealthSales intel SaaS

100M+ LinkedIn profiles a month. Zero account bans.

Replaced cookie-based actors with our cookieless stealth identities. The previous vendor was losing accounts faster than they could create them.

100M+Profiles · monthly
0Account bans
Read the case →
STORY 04 · JOBS · 1.4M / WEEKStripeSr DE PipelinesDublinShopifyStaff PlatformRemoteDatabricksStaff LakehouseBerlinDoorDashSr DE LogisticsNYC
04
Job market · AggregationTalent analytics co.

50+ job boards, one unified feed.

Deduplicated cross-board postings using fuzzy match + content hash. 1.4M jobs collected weekly, normalized to one schema, delivered to BigQuery hourly.

1.4MJobs · weekly
50+Boards aggregated
Read the case →
SeatGeekRT INVENTORYEU + USA05STORY 05 · TICKETING
05
Ticketing · Real-timeEuropean resale platform

Real-time SeatGeek inventory at < 60s latency.

Move from hourly batch to sub-minute streaming. Webhook-based delivery into their pricing engine. PerimeterX layer cracked open in week one.

< 60sEnd-to-end latency
8.4MEvents daily
Read the case →
STORY 06 · RETAILSKU · 01 · AUDIO$313SKU · 02 · HEADPHONES$429SKU · 03 · MONITOR$539Margin protection,in real time.
06
E-commerce · Competitive pricingDTC electronics brand

From "we saw the price drop on Tuesday" to "we react in under 4 minutes."

Continuous price monitoring across 14 retailers and 3 marketplaces. Webhook alerts straight into Slack and their dynamic pricing engine. They estimate $1.4M of recovered margin in year one.

2.4MSKUs · daily
< 4 minPrice-drop reaction
$1.4MMargin recovered · year 1
Read the case →
{ "id": "doc_0", "url": "https://...", "title": "...", "text": "...", "embedding": [...], "tokens": 4287 }→ 2.4B docs · v3 corpusCORPUSSTORY 07 · AI · LLM CORPUS
07
AI · Training corpusSeed-stage LLM startup

Building a 2.4 billion document training corpus.

Crawl, dedupe, and clean a domain-specific web corpus across 18 source categories. Delivered as Parquet on S3 with full content hash and licensing metadata.

2.4BDocuments · cleaned
14TBParquet on S3
Read the case →
STORY 08 · INDEED US · HOURLYDE TITLES120KMEDIAN COMP$140KTOP MARKETSCA · USAPOSTINGS / WK3,420
08
Indeed · CompensationFicstar

Indeed US — compensation data with state-level cuts.

Hourly Indeed US scrape with salary band extraction, employer-size joins, and weekly comp-benchmark exports. The pipeline Scott Vahey's note was about.

3.4KPostings hourly
99.7%Field-level QA pass
Read the case →
Want your story in the next issue?

Let's build the next case study.

Half of the stories on this page started as a single email. Tell us what you're trying to scrape, what's getting in the way, and we'll tell you honestly whether it's a story we can write together.

Next step
Md Khalid Mahmud Shawon
Md Khalid Mahmud Shawon
Founder · replies personally
Emailkhalid@fastscraping.com
Response time< 24 hours
First call30 min · no slides