Decide what to collect, and from where
Each source is checked against its robots.txt, terms and APIs before anything is built, and the research questions are pinned down first.
Discuss it with us[00] Web Scraping & Data Collection
Web Scraping Services for Responsible, Structured Data Collection
We build web scraping and data collection pipelines that turn public web pages into structured data you can use: product prices and availability, property and job listings, public directories, news, tenders and market information. Data is cleaned, de-duplicated and delivered as CSV, JSON or XML, or loaded straight into your database or CRM.
Illustration: five public web pages (a product page, a property listing, a tender notice, a job listing and a news article) are read one by one. The product name, price, location, closing date and other fields are highlighted on each page and fill a structured record, which is delivered as a CSV file, to a database, an API, a JSON feed or a CRM. A closing date in an unclear format is sent to a person for review.
key facts
- checked and respected for every source
- robots.txt
- an official API or feed is used wherever one exists
- API first
- no logins, paywalls or CAPTCHA bypassing
- Public only
- CSV, JSON, XML, an API or straight into your database
- Your format
What we deliver
What you get with Web Scraping & Data Collection. Nine parts of the service, each scoped with you.
We scrape responsibly. Before building anything, we check each site's robots.txt and terms of use, whether an official API or data licence exists, and whether the data includes personal information. We collect publicly available data only, never get past logins, paywalls or CAPTCHAs, and keep request rates low so we do not burden the sites we visit.
Where pages are messy, we combine scrapers with AI and machine learning to extract fields from free text, and add human review where accuracy matters. Scrapers are monitored and maintained, because websites change and a silent failure is worse than no data.
- t.01
Source and compliance review
For each site we check robots.txt, the terms of use and whether an API or licensed feed exists, and flag any personal data before collection starts.
- t.02
Web research
Targeted research on markets, competitors and customer segments from public online sources, compiled into a structured data set.
Scrapers that read the page like a person would
Fields pulled from static and JavaScript pages on a schedule, with AI for free text and a record of what changed since the last run.
Discuss it with us- t.03
Structured data extraction
Prices, product details, listings, directories, reviews and news turned into consistent fields that match the schema you need.
- t.04
JavaScript-heavy sites
Pages that load content with JavaScript are read with headless browsers, within the same rules on access, rate and public data.
- t.05
Scheduled collection and change tracking
Daily, weekly or hourly runs that record what changed since the last visit, such as a new price, a sold listing or an updated tender.
- t.06
AI extraction from unstructured pages
Language models and machine learning pull fields out of free text and tag records into schema-compliant output, with checks and sampled human review.
Rows you can use the day they arrive
De-duplicated, standardised records delivered to your storage, API or database, with analysis on top when you need it.
Discuss it with us- t.07
Cleaning and normalisation
Duplicates removed, units, currencies and dates standardised, and records matched across sources, so the data is ready for analysis.
- t.08
Delivery and integration
Files by SFTP or cloud storage, a simple API, or direct loads into your relational database, CRM or CMS on each run.
- t.09
Data mining and analysis
Clustering, classification and trend analysis on the collected data, so you receive patterns and forecasts as well as raw records.
source check
Every source is checked before we build. Not every site should be scraped, and we will say which.
For each site on your list we read robots.txt and the terms of use, look for an official API or data feed, and check for personal data. Only sources that pass get a scraper. The rest get a better route.
Is web scraping legal?shop.example/products
wants: prices · stock
robots.txt: ✓allowed
terms of use: ✓no ban
official API: –none
personal data: ✓none
verdict: scrape
daily · 1 request every 5 s
market.example/listings
wants: listings · prices
robots.txt: ✓allowed
terms of use: !API preferred
official API: ✓public API
personal data: ✓none
verdict: use the API
more stable, clearly allowed
homes.example/agents
wants: listings · agents
robots.txt: ✓allowed
terms of use: ✓no ban
official API: –none
personal data: !names, phones
verdict: scrape, skip people
listing fields only
fares.example/prices
wants: fares
robots.txt: ✗disallowed
terms of use: ✗bans bots
official API: –none
personal data: ✓none
verdict: do not scrape
ask the owner for a data licence
trade.example/members
wants: supplier directory
robots.txt: ✓allowed
terms of use: ✗login required
official API: –none
personal data: !member details
verdict: do not scrape
behind a login: data agreement instead
2 sources scraped · 1 through its API · 2 need another route
Why it matters
What changes once it is live. Each outcome is measured, not promised.
Web Scraping & Data Collection is planned around these outcomes, measured against a baseline we agree with you up front.
Discuss your project- 01
Current data, not last quarter's
Scheduled runs keep prices, listings and market data up to date without anyone copying pages by hand.
- 02
Data in the shape you need
Clean, consistent fields arrive ready for your spreadsheets, dashboards or models, with no reformatting.
- 03
Scales from a few sites to many
The same pipeline grows from a handful of sources to thousands, with monitoring that shows which source failed and why.
- 04
Lower legal and reputational risk
Compliance checks, polite crawling and minimal personal data keep collection within the rules and away from complaints.
How we work
How we deliver Web Scraping & Data Collection
A clear five-step process, so you always know what happens next and what you will get.
Every project starts with a free, no-obligation consultation.
run.logappsinai / project
$ appsinai run --pilot-first
Step 1: Discovery
We agree your business objectives, the exact fields you need, how often you need them and the list of candidate sources.
you get data schema · source list · delivery plan
we need the fields you need and how often · your list of candidate sources
Step 2: Compliance check
Each source is reviewed for robots.txt rules, terms of use, API alternatives and personal data. Sources that do not pass are dropped or replaced.
you get verdict per source · api or licence alternatives · fixed quote
we need your legal contact for borderline sources
Step 3: Build and pilot
Scrapers are built with rate limits, retries and validation rules, then run on a sample so you can check the output against the schema.
you get sample data set · validation report · go / no-go
we need your check of the sample data
- gatego / no-go on the results before “Collect and clean”
Step 4: Collect and clean
Runs happen on schedule, data is cleaned and checked, and alerts tell us when a site changes or a run returns unusual results.
you get scheduled deliveries · change log per run · failure alerts
we need a destination: storage, an api or your database
Step 5: Deliver and maintain
Data is delivered in your format and destination, and scrapers are updated as sites change, for as long as you need the feed.
you get scraper updates · run reports · new sources on request
we need notice of new fields or sources
↺ results feed the next improvement cycle$
Security & control
Collected responsibly, stored carefully
Responsible scraping protects you as much as the sites you collect from. These rules apply to every project, whatever the source.
Ask us about security- 01
Public data, within the rules
We collect only publicly available pages, follow robots.txt and site terms, and never get past logins, paywalls or CAPTCHAs.
- 02
Polite crawling
Low request rates, off-peak scheduling, caching and automatic back-off on errors keep our load on any site small.
- 03
Personal data kept to a minimum
We avoid collecting personal data. Where a project needs it, it must have a lawful basis under laws such as the GDPR and India's DPDP Act, and is minimised or pseudonymised.
- 04
Secure delivery and retention
Data is encrypted in transit and storage, delivered only to your systems, and kept no longer than the retention period you set.
where this fits
Collection is the first step. The rows we gather are ready to label, analyse and report.
Web data is rarely the end goal. Collected rows can go straight into labelling, analysis and dashboards, and each of those is a service you can hire with us or on its own.
- stage.01 · collectyou are hereout → raw rows
Data collection & web scraping
Exports from your own systems, plus public or partner sources gathered into clean, structured rows.
- stage.02 · labelout → labelled rows
Annotation & labelling
People tag text, images and records to an agreed guide, and a second reviewer checks the hard cases.
- stage.03 · analyseout → findings
Data analytics
We clean and profile the data, find what actually predicts the outcome and spot gaps before anything is built on it.
- stage.04 · reportout → dashboards
Business intelligence
Dashboards your managers will open, showing the numbers the work is meant to move.
FAQ
Questions about Web Scraping & Data Collection
Straight answers to what buyers ask us most. Can't find what you need?
Email sales@appsin.ai or call +91-9025555584.
Ask us directlyIs web scraping legal?
It depends on what is collected, how and where. Collecting public, non-personal data at a reasonable rate while respecting a site's terms is generally lower risk. Getting past logins, ignoring terms, copying copyrighted content or collecting personal data raises legal questions under laws such as the CFAA in the USA, the GDPR in the EU and India's DPDP Act. This is not legal advice, so for sensitive projects we recommend checking with your own lawyer.
Read: Is web scraping legal?Do you respect robots.txt and website terms?
Yes. We check robots.txt and the terms of use for every source before building a scraper. If a site disallows the pages you need or prohibits automated collection, we look for an official API, a data licence or another source instead.
Can you scrape sites behind a login or a CAPTCHA?
No. We do not bypass logins, paywalls, CAPTCHAs or other access controls. If the data sits behind an account, the right route is an API or a data agreement with the site owner, which we can help you integrate.
What about personal data?
We avoid it by default and design scrapers to skip fields such as names, emails and phone numbers. If personal data is genuinely needed, the project must have a lawful basis under the GDPR, India's DPDP Act or the laws that apply to you, and we minimise, pseudonymise and secure what is kept.
In what format will we receive the data?
CSV, Excel, JSON or tagged XML files, a simple API, or direct loads into your relational database, CRM or CMS. We agree the schema with you first, so every delivery has the same fields.
What happens when a website changes its layout?
Scrapers can break when a site changes. Every run is validated, and alerts tell us when a source returns missing or unusual data, so we can fix the scraper rather than deliver bad data quietly.
Should we use an API instead?
If the site offers an official API or data feed that covers what you need, usually yes. It is more stable and clearly permitted. We check for one during discovery and only scrape where no suitable alternative exists.
How quickly can we get data?
Discovery and the source check take one to two weeks, and a pilot sample usually follows within one to three weeks, depending on the number of sources and how complex the pages are. Scheduled deliveries start once you approve the sample.
How much does web scraping cost?
It depends on the number of sources, how complex the pages are, how often data is collected and how much cleaning it needs. Building the scrapers is a fixed price after the source check, and keeping them running is a monthly plan.
Estimate your project costFree PDF brochure
Web Scraping & Data Collection brochure
Features, outcomes, delivery process and FAQs in one PDF you can share with your team or management.
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related
Keep exploring
- Data Analytics & InsightsTurn collected market and pricing data into analysis, forecasts and decisions.
- Business IntelligenceLoad scraped data into a warehouse and track it on dashboards alongside your own figures.
- Data Annotation & LabellingLabel the collected data so it can train or test a model.
- AI & ML DevelopmentEnd-to-end AI and machine learning development, from a feasibility check and proof of concept to models running inside your ERP, CRM or apps.
- Generative AI DevelopmentGenerative AI applications that draft, summarise, search and answer from your own content, built on the model that fits and tested before rollout.
- AI Agent DevelopmentAI agents that read, decide and act across your systems, completing multi-step tasks with human approval where it matters and a log of every step.
- AI Chatbot DevelopmentCustomer-facing AI chatbots on your website, WhatsApp and app that answer from your content, complete simple tasks and hand difficult conversations to your team.
- ChatGPT & OpenAI IntegrationOpenAI models built into your apps, SaaS products and internal tools, with retrieval over your data, tested prompts and running costs you can plan for.
- LLM DevelopmentWe select, adapt and deploy large language models for your tasks, from fine-tuned open-source models on your servers to integrations with hosted APIs.
Free consultation
Tell us what data you need
Share the fields, sources and frequency you have in mind. We will check what can be collected responsibly and propose a pipeline with a fixed quote.
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