CK
Chris K.
December 30, 2025
“Great backend developer, highly recommend!”
FT Platform Phase #2
Verified Upwork review
Web Scraping & Data Extraction Services
Market data your leaders can act on
We collect the public web data your leadership asks for, from competitor prices and marketplace listings to reviews, job postings or any source you name, check every field and deliver clean rows to 
BigQuery, Snowflake, 
Google Sheets or your dashboard on your schedule.
Every page on our list of 100,000 Amazon products: price, rating, rank and demand, every gap explained.
Rows, as delivered6 real rows of 100k+
| # | Product | Price | Rating |
|---|---|---|---|
| 1 | Owala FreeSip Insulated Stainless Steel Water Bottle with Straw, BPA-Free Sports Water Bottle, Great for Travel, 24 Oz, Camo Cool | null | 4.7 |
| 2 | Owala FreeSip Insulated Stainless Steel Water Bottle with Straw for Sports and Travel, BPA-Free, 40oz, Foggy Tide | $35.99 | 4.7 |
| 81 | CELSIUS Fizz Free Peach Mango Green Tea, Sugar Free Energy Drink, 12 Fl Oz (Pack of 12) | $19.98 | 4.7 |
| 82 | medicube Toner Pads Zero Pore Pad Mild 2.0 | Gentle Calming Toner Pad for Exfoliation, Minimizing Pores & Blackhead Removal with PHA | Ideal for All Skin Types | Korean Skin Care, 70 Pads (1 Pack) | $18.90 | 4.6 |
| 84 | Owala Kids FreeSip Insulated Stainless Steel Water Bottle with Straw for Sports, Travel, and School BPA-Free Sports Water Bottle, 16 oz, Mint Chocolate Chip | $24.99 | 4.7 |
| 5316 | Candure Dog Nail Clippers for Pet Grooming - Professional Cat Nail Trimmers Suitable for Small to Medium Breeds with a Safety Guard & Nail File | Pet Nail Clipper | $3.99 | 4.6 |
Row 1 flagged: no price on the page, the item does not ship to the delivery location
Lands in
- 100k+ product rows
- HTML of every page, archived
What the data showed
The 10,000 listings shown are 1,213 products: 95% of the pages are variants.
Explore the 10,000 rowsStages6 of 6
- Scheduler, doneQueues 100,000 pages
- Crawler, doneRenders each product page
- Extractor, doneReads price, rating, rank
- Validator, doneNotes why a field is empty
- Normalizer, doneLinks variants to products
- Delivery, doneWrites rows, archives HTML
Replay a delivered dataset
Scripted run, real rows100k+ product pages in one Amazon project109 web-data projects in our archive
150+ projects delivered for teams in 15+ countries
Explore a dataset we delivered: 100k+ Amazon product pages
A client asked for 100,000 Amazon product pages, every field captured. These are the first 10,000 rows of the delivered file, about 10%, with the fill rate of every field and the checks they passed.
- product pages delivered
- 100k+
- fields per page, each with its fill rate
- 786
- rows you can explore here, about 10%
- 10,000
- products behind the 10,000 listings
- 1,213
- categories and 591 subcategories
- 16
- captured 17-20 July from amazon.com
- Jul 2026
What the 10,000 rows say
Every chart is counted from the rows in the explorer below. Choose a category: the figures, the charts and the table follow.
- product pages
- 10,000
- products
- 1,213
- brands
- 663
- median price
- $19.98
- median rating
- ★ 4.6
- of pages rank in the top 100 of their category
- 53%
Where the pages sit
Sports & Outdoors: 1,629 pages from 82 products, 19.9 pages per product.
- Product pages
- Products
Pages and products by category, as Amazon files each page
What they cost
Median $19.98; the middle half of the pages costs $11.99 to $30.99.
Pages by the price shown, in US dollars2,352 pages showed no price.
How customers rate them
Median 4.6 stars; 77% of the products rate 4.5 or higher.
29<4.0
1334.0-4.3
3074.4-4.5
5194.6-4.7
2114.8-5.0
Products by average star rating
Popularity against rating
406 products have more than 8,387 ratings and a rating of 4.6 or more: the proven sellers.
- Home & Kitchen
- Sports & Outdoors
- Beauty & Personal Care
- Pet Supplies
- Grocery & Gourmet Food
- Other categories
Average rating
Ratings, log scale
One dot per product, from its first page in the file2 products rated under 3.0 sit on the floor.
Price range by category
Home & Kitchen sells highest, median $24.99; Beauty & Personal Care lowest, median $12.97.
- Middle half
- Middle 80%
- Median
Home & Kitchen$24.99
Grocery & Gourmet Food$21.58
Sports & Outdoors$20.98
Pet Supplies$20.27
Baby Products$16.95
Tools & Home Improvement$16.17
Office Products$13.99
Beauty & Personal Care$12.97
US dollars, log scale
How deep the discounts go
31% of the priced pages show a list price above the price; the median cut is 15%.
414<10%
1,15210-19%
46620-29%
22230-49%
9550%+
Discounted pages by the cut from the list price2,138 pages carry a promotion: a coupon, a multi-buy offer or another deal. 27 pages are left out and flagged: their price and list price differ by 80% or more, so one of the two is a price per unit.
Brands with the most products
663 brands; the top 8 hold 12% of the products.
Products per brand
Bought in the past month
34% of the pages show units bought in the past month; 788 show 500+ or more.
59250+
811100+
486200+
363300+
319400+
245500+
178600+
167700+
99800+
99900+
Pages by the badge Amazon showed when captured
1 to 12 of 1,213
| Product | Catalogue | Price and offer | Ratings | Rank and demand | Variants and media | Specifications | Record | |||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Category | Subcategory | List price | Promotion | Ships to the delivery location | Star mix | Subcategory rank | Pages of the product | Variant options | Images | Video | Manufacturer | Model number | UPC | Colour | Size | Material | Form | Weight | Dimensions | Unit count | Item type | Row | Captured | |||||||||
| Crocs Unisex-Adult Classic Clog, Clogs for Women and Men | Clothing, Shoes & Jewelry | Mules & Clogs | No price shown | null | null | null | No | 486,751 | Stars: 5★ 87% · 4★ 8% · 3★ 3% · 2★ 0% · 1★ 2% | #11 Clothing, Shoes & Jewelry | #10 Women's Fashion | null | 1 | 119 options | 8 | No | Crocs | 209450-2Y2 | 196265881765 | Pond | null | null | null | 6.93 ounces | null | null | Clog | 3 Apr 2025 | 1,556 | 18 Jul 2026 | ||
| Queen Size 4 Piece Sheet Set - Comfy Breathable & Cooling Sheets - Hotel Luxury Bed Sheets for Women & Men - Deep Pockets, Easy-Fit, Extra Soft & Wrinkle Free Sheets - Burgundy Oeko-Tex Bed Sheet Set | Home & Kitchen | Sheet & Pillowcase Sets | $32.99 | -13% | 40% off with a qualifying purchase20% off with a qualifying purchase | Yes | 446,661 | Stars: 5★ 73% · 4★ 14% · 3★ 6% · 2★ 3% · 1★ 4% | #2 Home & Kitchen | #1 Sheet & Pillowcase Sets | null | 314 | 55 options | 8 | Yes | CGK Unlimited | Queen4PCBurgundy | null | 25 - Burgundy | Queen | Polyester | null | 1.22 kg | 4.1 x 11 x 9.3 inches | 4 Count | null | null | 26 | 17 Jul 2026 | |||
| essence | Lash Princess False Lash Effect Mascara | Volumizing & Lengthening | Cruelty Free & Paraben Free | Beauty & Personal Care | Mascara | $4.97 | null | null | null | Yes | 415,771 | Stars: 5★ 68% · 4★ 14% · 3★ 9% · 2★ 4% · 1★ 5% | #24 Beauty & Personal Care | #2 Mascara | null | 4 | 6 options | 8 | No | essence cosmetics | 51602 | 04250947516027 | Black | null | null | Cream | 28 g | 10 x 2 x 2.7 inches | null | null | null | 354 | 17 Jul 2026 | ||
| Bedsure King Size Satin Pillowcase Set of 2 - Sky Blue Silky Pillow Cases for Hair and Skin with Envelope Closure, Similar to Silk Pillow Cases, Gifts for Women Men, 20x36 Inches, 2pcs | Home & Kitchen | Pillowcases | $12.99 | -13% | 5% off 2 items8% off 3 items | Yes | 319,944 | Stars: 5★ 74% · 4★ 15% · 3★ 6% · 2★ 2% · 1★ 3% | #42 Home & Kitchen | #1 Bed Pillow Pillowcases | 100+ | 67 | 36 options | 8 | Yes | Bedshe | Pillowcase set-Satin | null | 19 - Sky Blue | King (20" X 36") | Polyester | null | null | 36"L x 20"W | 2 Count | pillowcases | null | 6,741 | 19 Jul 2026 | |||
| Beckham Hotel Collection Bed Pillows Standard/Queen Size Set of 2 - Original Soft Down Alternative Pillow for Sleeping - Soft Support for Back, Stomach or Side Sleepers | Home & Kitchen | Bed Pillows | $59.99 | -25% | null | Yes | 261,804 | Stars: 5★ 68% · 4★ 15% · 3★ 9% · 2★ 3% · 1★ 5% | #35 Home & Kitchen | #2 Bed Pillows | null | 2 | 3 options | 8 | Yes | Beckham Hotel Collection | FBA_BLL-GLPLW-2PK-Q | 080119078046 +2 | White | Queen / Standard | null | null | 4 pounds | 28"L x 20"W | 2 Count | null | null | 4,253 | 18 Jul 2026 | |||
| Utopia Bedding Queen Size Sheet Set – 4 Piece Bed Sheets, Soft and Breathable Microfiber, Includes 1 Fitted Sheet, 1 Flat Sheet and 2 Pillowcases – Oeko Tex (Eggplant) | Home & Kitchen | Sheet & Pillowcase Sets | No price shown | null | null | null | No | 240,638 | Stars: 5★ 79% · 4★ 13% · 3★ 5% · 2★ 1% · 1★ 2% | #19 Home & Kitchen | #2 Sheet & Pillowcase Sets | null | 95 | 45 options | 8 | Yes | Utopia Bedding | null | 197703020654 | Egg Plant | Queen | Polyester | null | 1.44 kg | null | 1 Count | null | null | 2,949 | 18 Jul 2026 | ||
| Pampers Sensitive Baby Wipes, Water Based Baby Wipes, Fragrance Free and Hypoallergenic, 588 Wipes Total (7X Refill Packs) [Packaging May Vary] | Baby Products | Wipes & Refills | $18.86 | -6% | 15% coupon with Subscribe & Save | Yes | 240,013 | Stars: 5★ 89% · 4★ 8% · 3★ 2% · 2★ 0% · 1★ 1% | #4 Baby | #2 Diaper Wipes & Refills | null | 1 | 12 options | 8 | Yes | Procter & Gamble | 754619/75461 | 10030772073251 | ash | null | null | Wipes | 10.8 pounds | 10.7 x 9.2 x 7.9 inches | 588 Count | null | 12 Oct 2022 | 321 | 17 Jul 2026 | |||
| HP 63XL Black High-Yield Printer Ink Cartridge Printers | Works with DeskJet 1112, 2130, 3630;Envy 4510, 4520; OfficeJet 3830, 4650, 5200 | Eligible for Instant Ink | F6U64AN | Office Products | Inkjet Ink Cartridges | No price shown | null | null | null | No | 235,656 | Stars: 5★ 84% · 4★ 10% · 3★ 4% · 2★ 0% · 1★ 2% | #72 Office Products | #6 Inkjet Printer Ink Cartridges | null | 4 | 6 options | 8 | Yes | HP | F6U64AN#140 | 889296267423 | Black | null | null | null | 5 g | null | 1 Count | Original HP 63XL Black High-yield Ink Cartridge | Works with | null | 3,620 | 18 Jul 2026 | ||
| Amazon Basics Slim Velvet Non-Slip Space Saving Suit Clothes Hangers, Closet Organizer, Sturdy Construction, Ivory/Rose Gold, 50-Pack | Home & Kitchen | Standard Hangers | No price shown | null | null | 10% coupon | No | 234,278 | Stars: 5★ 86% · 4★ 10% · 3★ 3% · 2★ 0% · 1★ 1% | #9 Home & Kitchen | #1 Standard Hangers | null | 17 | 12 options | 8 | No | Amazon Basics , this product may originate from China or Vietnam. | null | 840095812375 | Ivory/Rose Gold | Pack of 50 | Plastic + velvet | null | 2.56 ounces | null | 50 Count | null | null | 2,688 | 18 Jul 2026 | ||
| Amazon Basics Multipurpose Copy Printer Paper, 20 lb, 8.5 x 11 Inches, 10 Reams (5,000 Sheets), 92 Bright White | Office Products | Copy & Multipurpose Paper | $56.97 | null | null | null | Yes | 224,435 | Stars: 5★ 86% · 4★ 9% · 3★ 3% · 2★ 1% · 1★ 1% | #1 Office Products | #1 Copy & Multipurpose Paper | null | 9 | 11 options | 8 | No | Amazon | null | 841710143089 | White | null | null | null | 23.5 kg | 11"L x 8.5"W | 10 Count | null | null | 80 | 17 Jul 2026 | ||
| Utopia Bedding 16x24 Pillow Inserts, Set of 2, White – Indoor Decorative Throw Pillows for Bed, Sofa & Couch – Soft, Supportive & Fluffy Cushion Inserts | Home & Kitchen | Pillow Inserts | $18.96 | -19% | null | Yes | 217,778 | Stars: 5★ 79% · 4★ 11% · 3★ 5% · 2★ 2% · 1★ 3% | #27 Home & Kitchen | #1 Throw Pillow Inserts | 900+ | 24 | 21 options | 8 | Yes | Utopia Bedding | UB2583 | 840143547532 | White | 16x24 Inch | null | null | 3.4 pounds | 1"L x 1"W | 1.01 Count | null | null | 4,352 | 18 Jul 2026 | |||
| STANLEY Quencher H2.0 Tumbler with Handle and Straw 30 oz | Flowstate 3-Position Lid | Cup Holder Compatible for Travel | Insulated Stainless Steel Cup | BPA-Free | Frost | Home & Kitchen | Tumblers | $25.00 | -38% | null | Yes | 201,704 | Stars: 5★ 87% · 4★ 7% · 3★ 2% · 2★ 1% · 1★ 3% | #2 Kitchen & Dining | #1 Insulated Tumblers | null | 42 | 121 options | 8 | Yes | Stanley | 100000113429 | 041604394546 +1 | Frost | 30 Ounces | Stainless Steel | null | 1.2 pounds | null | 1 Count | Quencher | null | 32 | 17 Jul 2026 | |||
Page 1 of 102
First 10,000 rows of the delivered file, about 10% of it, captured 17 July 2026 to 20 July 2026. Category and product names as Amazon shows them.
786 fields: 44 filled on at least 90% of pages, 60 on at least half. Most of the rest are technical details only some categories have. The values are one page’s: HP Printer Paper.
Loading the field dictionary…
The checks these rows passed
Counted on the 10,000 rows shown.
- 10,000 unique ASINs in 10,000 rows: no duplicates
- Title on 100% of pages
- Star rating on 99.8% of pages
- Category path on 99.5% of pages
- Best Sellers Rank on 99.1% of pages
- Price on 76.5% of pages2,352 pages showed no price, 1,981 of them because the item does not ship to the delivery location; every gap records its reason.
- Price checked against list price: 27 pages flaggedThe two differ by 80% or more, so one of them is a price per unit; these pages stay out of the discount figures.
- One schema on every row: amazon-product-v1
- Versioned extractor: 1.0.0 (9,450), 1.1.0 (550)
- Each page saved as captured (median 2.8 MB of HTML), so a field can be extracted again without visiting the page
What leaders read in it, and the fields behind it
Each use names the fields that answer it, so a dashboard can be built on them.
Pricing
Prices, discounts and promotions beside your own, product by product.
- price
- list price
- discount
- promotion
Range and variants
How a category is split across brands, products, sizes and colours.
- category path
- parent ASIN
- variations
- brand
Demand
Which products sell, from the rank and the units bought.
- Best Sellers Rank
- subcategory rank
- bought in past month
Reputation
How customers rate each product and how the stars spread.
- rating
- ratings count
- star distribution
Not shown here
- Descriptions, feature bullets and Amazon’s AI review summaries were captured, but they are Amazon’s and sellers’ text: the dictionary gives their fill rates only.
- Seller and buy box details, image links and the capture’s own run records. Promotions show as their kind and amount, not their wording.
- Prices are what each page showed for the delivery location set during the run.
More datasets we delivered
Five more datasets from client projects: the source, its size, real rows and what the data showed. Open the dashboards built from them.
B2B e-commerce
IT hardware catalogue
72,685 SKUs × 14 fields
IT hardware catalogue: 30 real rows of 72,685 Brand MPN Title Xerox 006R03005 Xerox Cyan toner cartridge. Equivalent to HP CF031A. Compatible with HP Colour… Xerox 006R03114 Xerox Black toner cartridge. Equivalent to HP Q7551A. Compatible with HP… Xerox 006R03254 Xerox Yellow toner cartridge. Equivalent to HP CF382A. Compatible with HP… Xerox 006R03455 Xerox Black toner cartridge. Equivalent to HP CF400A. Compatible with HP Colour… Source: EET Group's public B2B catalogue
What the data showed
Ten brands are 71% of the catalogue; the tail is 309 deep.
Competitors
Company page posts
15,192 posts × 14 fields
Company page posts: 25 real rows of 15,192 Company Format Likes Amazon Video 1142 Amazon Other: Poll, Shared Post, etc 1232 Amazon Video 4412 Amazon Video 2968 Source: Public LinkedIn company pages
What the data showed
Engagement is far more concentrated than posting volume.
Talent market
Cybersecurity job listings
500 listings × 23 fields
Cybersecurity job listings: 31 real rows of 500 Role Type Pay Cybersecurity Project Manager Contract $40 - $45 Cybersecurity Project Manager Contract $75 - $85 Cybersecurity Software Assurance Project Manager (PM3) - CSAPM… Contract, Third Party N/A Cyber Security Engineer Full-time USD 100,000.00 - 115,000.00 per year Source: Dice.com public job postings
What the data showed
Remote is the default, not the exception.
Research
Research paper corpus
239,037 papers × 43 fields
Research paper corpus: 32 real rows of 239,037 Title Downloads Views The Role of Assortment Size and Option Attractiveness in Consumer Choice Among Retailers 155 733 The London 2012 Olympic Games null 2625 A Short Note on An Unusual MVNO - Firearms, Patriotism and Religion null 373 Temporal Differences in the Role of Marketing Communication in New Product Categories null 653 Source: SSRN public paper pages
What the data showed
Downloads are top-heavy: the most downloaded 10% of papers take 65% of them.
Healthcare
Medical literature records
38 fields over 26.8k files
Medical literature records: 32 real rows of 26.8k Title Year Access Antidiabetic Indian plants: a good source of potent amylase inhibitors. 2011 full_text Potential benefits on impairment of endothelial function after a high-fat meal of 4 weeks… 2011 full_text Assessment of the mutagenic activity of extracts of brazilian propolis in topical… 2011 full_text Cranberry and grape seed extracts inhibit the proliferative phenotype of oral squamous… 2010 full_text Source: PubMed, PMC and ClinicalKey, merged
Three sources merged into one schema; each record keeps the identifiers of the database it came from.
Market data for every leader
Every leader asks the market a different question. One pipeline collects the answers from public sources and delivers each in the form that leader reads.
CEO
Market and competitors
The question
Which competitors entered our categories this quarter, and at what price?
Collected from
- Amazon
- Shopify
- Competitors' websites
- Crunchbase
What comes backHow often: Weekly
- New sellers and brands in each category
- Their price points beside ours
- Where they list and how fast their range grows
The decision it supports
Where to defend and where to expand
The number to watch
Our share of listings in each category
CFO
Pricing
The question
Where are we priced above the market on our best-selling products?
Collected from
- Amazon
- Walmart
- eBay
- Competitors' websites
What comes backHow often: Daily
- Rival prices for the same products, matched by EAN or MPN
- Promotions and bundles as they start
- A price index per product line
The decision it supports
Which prices to move, and by how much
The number to watch
Price index against the market
CMO
Brand and reviews
The question
What do customers praise and complain about in our rivals' reviews?
Collected from
- Amazon
- Yelp
- Tripadvisor
What comes backHow often: Weekly
- Ratings and reviews by product and rival
- Themes that rise or fall each month
- Rivals' posts and what earns engagement
The decision it supports
Which claims to make, and which gaps to sell into
The number to watch
Rating gap to the nearest rival
COO
Supply
The question
Which suppliers are running short or changing their range?
Collected from
- Suppliers' catalogues
- Distributor portals
- Marketplaces
What comes backHow often: Daily
- Stock status across supplier catalogues
- New and discontinued products
- Price changes on the lines we buy
The decision it supports
Where to reorder early or switch supplier
The number to watch
Share of our range in stock at two or more suppliers
CRO
Sales
The question
Which companies show buying signals for what we sell?
Collected from
- Indeed
- Crunchbase
- Business directories
What comes backHow often: Weekly
- Companies hiring for the roles our product serves
- New locations, launches and funding rounds
- Firmographics from public company pages
The decision it supports
Which accounts sales calls first
The number to watch
New signals per target account
CHRO
Talent
The question
What do competitors pay for the roles we hire?
Collected from
- Indeed
- Glassdoor
- Dice
What comes backHow often: Monthly
- Pay ranges from public job postings
- The remote, hybrid and on-site share
- Skills and seniority each role asks for
The decision it supports
Offer ranges, and where to hire
The number to watch
Our offers against the market median
Delivered where your team already works
Warehouses
- BigQuery
- Snowflake
- Postgres
- Amazon S3
Spreadsheets
- Google Sheets
- Excel
- CSV and JSON files
Dashboards
- Looker Studio
- Power BI
- Tableau
Apps and alerts
- REST API
- Webhooks
- Slack
- Teams
Each delivery keeps the same schema run after run, so a dashboard or a model built on it never breaks.
Public pages only, collected at a polite rate: nothing behind a login or a paywall, and no personal data without a lawful basis.
What we collect, and from where
Four kinds of work make up most projects. If a source is public and your use of it is lawful, we scope it on the first call.
E-commerce and retail
Prices, promotions, stock, ratings and reviews across marketplaces and online stores, matched to your own products.
- Read by
- Pricing, category and e-commerce teams
- Typical fields
- Price
- Promotion
- Stock
- Rating
- Reviews
- Seller
- Sources
- Amazon
- Shopify
- Walmart
- eBay
- Etsy
Competitor intelligence
Rivals' product ranges, pricing pages, catalogue changes, posts and hiring, tracked on a schedule.
- Read by
- Leadership, strategy and marketing
- Typical fields
- Products
- Prices
- Launches
- Posts
- Engagement
- Openings
- Sources
- Twitter/X
- YouTube
- Crunchbase
Market and demand
Listings, directories, reviews and research that size a market and show where it is moving.
- Read by
- Strategy, research and investment teams
- Typical fields
- Listings
- Categories
- Reviews
- Locations
- Trends
- Citations
- Sources
- Yelp
- Booking.com
- Tripadvisor
- SSRN
Custom requirements
Any public source you name, from tenders, registries and catalogues to documents, PDFs and public APIs, in the schema you need.
- Read by
- Any team with a recurring data need
- Typical fields
- Your fields
- Your schema
- Your schedule
- Sources
- Public registries
- Tender portals
- Documents and PDFs
- Public APIs
Platforms we have collected from
Projects per platform, from our archive of 164 client projects, 109 of them collecting web data. The brands are sources, not clients.
- Twitter/X27 projects
- YouTube27 projects
- Facebook26 projects
- LinkedIn21 projects
- Amazon20 projects
- Instagram18 projects
- Pinterest8 projects
- Shopify7 projects
- TikTok6 projects
- Quora5 projects
- Reddit5 projects
- SSRN4 projects
- Threads4 projects
- Crunchbase3 projects
- Telegram3 projects
- Yelp3 projects
- Indeed2 projects
- Booking.com2 projects
- Etsy2 projects
- Discord2 projects
- eBay1 projects
- Walmart1 projects
- Glassdoor1 projects
- Tripadvisor1 projects
- ZoomInfo1 projects
- Apollo1 projects
- Freelancer1 projects
Also collected from
- Google Maps
- Dice.com job listings
- PubMed
- PubMed Central
- ClinicalKey
- AEMO dispatch data
- EET Group catalogue
- Common Crawl
- Kia service manuals portal
- Workday job boards
- Greenhouse job boards
- BuyICT tenders
- Court and public records
- Real estate listings
- Sportsbook odds
- NFT marketplaces
- Conference listings
- PDF and OCR documents
- Telegram channels
- Discord servers
What we never collect
- Anything behind a login or a paywall
- Personal data without a lawful basis
- Sources whose use you have no lawful reason for
From a web page to a decision
Seven stages turn a public page into a clean row your team can trust. Choose a stage to see what happens there and what it hands on.
Stage 1 of 7
Map the sources
Every target is mapped first: the pages to read, the fields to take, how often they change and what the rows must look like.
Tools
- Sitemaps
- Search pages
- URL lists
Hands onA source map and a field-by-field schema you approve
Stage 2 of 7
Schedule
Jobs run on your schedule, hourly to monthly, in your cloud account, each one retried and logged.
Tools
- Cloud Run
- AWS Lambda
- GitHub Actions
Hands onRuns that start on time and report what they did
Stage 3 of 7
Fetch and render
A plain request where the page allows it, a real browser where the page needs one, always at a polite rate.
Tools
- Playwright
- Scrapy
- Selenium
Hands onEvery target page, rendered and stored
Stage 4 of 7
Extract
Fields are read from the page's markup and its structured data, and free text such as a price or a date is parsed into a typed field.
Tools
- BeautifulSoup
- JSON-LD
- Python
Hands onRaw rows, one per record, every field in place
Stage 5 of 7
Validate
Every row is checked against the schema: types, required fields, ranges and duplicates. A row that fails is held back, not shipped.
Tools
- Pydantic
- JSON Schema
- pytest
Hands onOnly rows that pass, plus a report of what failed
Stage 6 of 7
Normalize and match
Prices, units and dates go into one format, and the same product is matched across sources by EAN, MPN or title.
Tools
- pandas
- dbt
- PostgreSQL
Hands onOne clean table across every source
Stage 7 of 7
Deliver and monitor
Rows land where your team works. Success rates, volumes and freshness are watched, and a layout change raises an alert before bad data ships.
Tools
- BigQuery
- Google Sheets
- Slack
Hands onData on schedule, and an alert when a source changes
Data your board can rely on
Bad data costs more than no data. Every run is checked before it ships, and every source is watched after launch.
Schema and types
Every field has a type and a format. A price that arrives as text, or a date that cannot be read, stops the row.
Completeness
Required fields must be present. A run that comes back thinner than the last one is flagged before delivery.
Duplicates
An exact duplicate is flagged rather than hidden, so you decide what counts; the same product from two sources is matched by EAN, MPN or title.
Freshness
Each row carries the time it was collected, so a dashboard never shows yesterday as today.
Layout changes
When a site changes its pages, the drop in extracted fields raises an alert, and the selectors are fixed before the next run.
Origin of every row
Source URL, collection time and the version of the extractor travel with each row, so any number can be traced back.
After launch
- Success rate, volume and freshness watched on every run
- An alert to you and to us when a source changes
- Fixes within the 30 days of support after launch
- Then a fixed monthly scope, if you want us to keep it running
How we deliver
Five phases, each ending on a gate you sign off. Most projects with one to five sources go live in two to six weeks.
Free consultation
30 minutes
You get
- The sources, the fields and how often you need them
- What each source allows, and the right way to collect it
Your partName the sources and the decisions the data is for
Gate: ScopeA written scope and a fixed quote you accept
Source audit and sample
Set by the number of sources
You get
- A source map and a field-by-field schema
- A sample file from your real sources
Your partCheck the sample rows and approve the fields
Gate: SampleYou approve the fields and the sample rows
Build
Set by the sources and how their pages work
You get
- Crawlers, extractors and validators for every source
- Delivery to your warehouse, sheet or API
Your partGive access to where the data should land
Gate: TestsEvery source passes its checks on live pages
Pilot runs
A few scheduled runs
You get
- Runs on your schedule, compared against the sample
- A run report: volumes, completeness and failures
Your partCompare a few runs with what you expect
Gate: AccuracyCompleteness and accuracy you agree with
Launch and monitoring
30 days of support included
You get
- Monitoring and alerts on every source
- Documentation and the code, in your accounts
Your partUse the data; alerts reach you if a source changes
Gate: LiveData arrives on schedule, alerts reach you
What sets the dates
- Sources
- How many sites, and how many page types each has
- Page behaviour
- Plain pages are quick; pages built in the browser take longer
- Refresh rate
- Monthly, weekly, daily or hourly
- Delivery
- A file, a warehouse table, an API or a dashboard
Simple sources can go live faster; sources that change often or need complex delivery take longer. The source audit dates your plan.
FROM DELIVERED PROJECTS
The tools behind every run
Browsers and crawlers, validation, scheduling, storage and delivery: proven tools, picked for each source and run in your cloud.
Browsers and Crawlers6 tools
Pick a layer, or let the orbit walk you through them.
Browsers and Crawlers
6 toolsA real browser where a page needs one, a fast crawler where it does not, always at a polite rate.
- Playwright
- Scrapy
- Selenium
- Selenium Grid
- Python extractors
On the orbitPlaywright · Scrapy · Selenium
Extraction and Parsing
Fields read from markup, structured data, public APIs and documents into a fixed schema.
BeautifulSoup · pandas · JSON and JSON-LD · REST APIs · PDF and OCR
Validation and Monitoring
Every row checked against its schema before it ships, every source watched after launch.
Pydantic · JSON Schema · pytest · Great Expectations · Sentry
Scheduling and Runs
Runs on your schedule in your cloud account, retried and logged.
Apache Airflow · Cloud Run · AWS Lambda · Cloud Scheduler · GitHub Actions · Celery · Docker
Storage and Warehouses
Clean rows in the warehouse or database your team already queries.
BigQuery · Snowflake · PostgreSQL · Amazon S3 · MongoDB · MySQL
Delivery and Dashboards
Data where leaders read it: sheets, dashboards, chat alerts and APIs.
Google Sheets · Excel · Power BI · Tableau · Metabase · Slack · Teams · FastAPI · Webhooks
Cloud
Everything runs in your own cloud account, and the code is yours.
Google Cloud · AWS · Azure · Terraform
What clients say about our data work
Teams in 15+ countries trust the founder who scopes their data project to build it and keep it running.
Verified on Upwork
5.0
71 client reviews · 69 of them five-star
Top Rated Plus · 100% Job Success · 100+ jobs
- 5 stars69
- 4 stars2
- 3 stars0
- 2 stars0
- 1 star0
GB
Gilad B.
December 18, 2025
“Very knowledgeable and professional. Good communication”
Phase 0: Design a granular data schema and structure, and full tool flow
Verified Upwork review
JD
Julio D.
July 16, 2025
“Tran was great, very knowledgeable and quick responses”
Web scraper in R
Verified Upwork review
MM
Madison M.
March 31, 2025
“Very responsive and quick to get started! Produced excellent results. I will definitely reach out again in the future.”
Review Git Pull Requests
Verified Upwork review
DC
David C.
March 29, 2025
“Great platform to interface with developer.”
You will get AWS, GCP and Azure Data pipeline
Verified Upwork review
AJ
Alex J.
February 18, 2025
“Fast, responsive, professional. Really appreciated the thorough documentation too.”
You will get Data Scraping | Data Extraction | Web Scraper | Automation Tools
Verified Upwork review
TS
Tomer S.
December 12, 2024
“Van exceeded all expectations with exceptional professionalism and expertise. They delivered high-quality work ahead of schedule, communicated effectively throughout the project, and made the collaboration seamless and enjoyable. I highly recommend Van to anyone looking for a skilled and reliable freelancer.”
Create Web scraper for Facebook
Verified Upwork review
PT
Preska T.
October 21, 2024
“I recently had the pleasure of working with Tran, and I can't express enough how impressed I am with his work. From the very beginning, he demonstrated a deep understanding of our project requirements and brought a level of expertise that made a significant difference in the outcome. What truly sets Tran apart is his commitment to excellence.”
You will get Data Scraping | Data Extraction | Web Scraper | Automation Tools
Verified Upwork review
AW
Alice W.
May 26, 2024
“AMAZING. We are lucky that we found Van. He helped us with our database structure. He is very knowledgeable and very cooperative. We are still continuing to work with him further. I can only highly recommend.”
Admin Panel for Data Management
Verified Upwork review
NS
Nic S.
May 15, 2024
“Excellent work. I'd be very happy to work with Tran in the future.”
Web scraping: Project review and proposal
Verified Upwork review
PK
Paris K.
March 22, 2024
“Tran did a great job on a LAMP REST API deployment to Microsoft Azure. We'd be happy to work with this freelancer again.”
Seeking developers experienced with LAMP (Python) and REST APIs for UX Research Study / gstd-2024-1
Verified Upwork review
YK
Yalcin K.
March 18, 2024
“Van is a great data engineer, and I highly recommend it. He joined our project and helped build a custom data pipeline within weeks.”
Python Developer to Build a Shopify Integration
Verified Upwork review
Questions leaders ask about web scraping
Send us the pages you need
Name a few sources and the fields you need. On a free 30-minute call the founder tells you what can be collected, how and how often. A written scope and a fixed quote follow, and a sample file from your own sources comes before the full build.
From the blog
Guides on this work
- AI Agent Web Scraping: Lessons From OpenAI's Rogue AgentsAI agent web scraping went wrong at OpenAI: agents hit a UN data hub 16,000 times and probed sites when blocked. Where the line is, and what to fix now.
- Resilient Web Scraping Pipelines with Monitoring and FallbacksHow to build scraping systems that survive dynamic targets, proxy failures, selector drift and delivery issues without turning into constant fire drills.
- Web Scraping Automation for Protected Sites: What Actually Keeps Collection StableA practical guide to building web scraping systems that survive protected targets, retries, proxy rotation, and production monitoring.
- Scaling Playwright Scraping with Proxies, Retries, and Fewer Nightly FailuresA practical operating guide for Playwright scraping systems that need to stay stable under anti-bot pressure and changing page behavior.
Keep exploring
Related Van Data Team service lines
Services teams often pair with this one, delivered by the same founder-led team.
Data Engineering & Pipeline Development
ETL and ELT pipelines, dbt models and staged modernization of legacy data platforms.
- ETL and ELT pipelines that re-run safely and alert on failure
- dbt models with data tests, lineage and documentation
- Legacy platforms modernized slice by slice, with parallel runs
Explore the serviceTypical stack
- Airflow
- dbt
- BigQuery
- Snowflake
AI Agent Development & Software Architecture
AI agents and the software around them, architected and built for production workflows.
- Multi-step agent workflows for support, research and operations
- Tool access across your APIs, documents and internal systems
- Human review, audit trails and fallbacks for sensitive actions
Explore the serviceTypical stack
- LangGraph
- CrewAI
OpenAI Agents SDK- MCP
Agentic BI Reporting
Governed LangGraph BI agents with semantic layers, validators and evals, answering in your chat apps.
- A governed semantic layer that agents query instead of ad hoc SQL
- SQL validated before it runs, with an audit trail for every answer
- Reports and alerts delivered to your chat apps or email on schedule
Explore the serviceTypical stack
- LangGraph
- dbt metrics
- BigQuery
- Snowflake