Which platforms can I collect public data from?

You can build approved public-page workflows for Amazon, TikTok, YouTube, X, search engines, and many other ecommerce, social, video, editorial, and directory websites. Available data depends on the public page and applicable platform rules.

Can I use the data in an AI or RAG workflow?

Yes. HTML, Markdown, and JSON outputs can provide current source material for AI agents, RAG, internal search, and research workflows when the source and use are permitted.

What information should not be collected?

Do not collect non-public content, bypass logins or technical protections, or collect sensitive personal information. Ensure collection and downstream use comply with applicable law and each website’s rules.

Dedicated Scraping API for public web data

Turn approved public pages from Amazon, TikTok, YouTube, X, search engines, and more into HTML, Markdown, or structured JSON for market research, competitive intelligence, content operations, and AI workflows.

No coding required—start a collection task directly in your browser.

Start free Browse scraping platforms

Public-page collection across ecommerce, social, video, and search HTML, Markdown, and JSON outputs for downstream systems Source-aware data for research, monitoring, and AI use cases Use only public, permitted information

50 COMMON PROBLEMS

Common Web Scraping and Data Extraction Problems

Research teams need comparable, traceable data—not another manual cleanup step for every site.

One study spans multiple platforms

Products, videos, posts, and search pages use different structures.

Every page needs a new parser

A new data need can restart engineering work.

Static HTML contains no data

JavaScript fills the page only after the first response.

Virtual lists remove earlier rows

Items disappear from the DOM as new results enter the viewport.

The next-page link is generated late

Pagination controls appear only after scripts or user interaction.

Cursor pagination skips records

Changing data invalidates offsets while a collection is running.

An API response schema changes

A renamed or nested field silently breaks downstream mapping.

Fields differ across detail pages

The same entity type exposes different attributes on different records.

Localized numbers parse incorrectly

Decimal and thousands separators vary by region.

Text encoding becomes unreadable

Incorrect charset detection produces broken international characters.

Lazy images use placeholder URLs

The real source lives in data attributes or appears after scrolling.

Content is hidden in Shadow DOM

Standard document selectors do not cross component boundaries.

Embedded JSON is escaped or incomplete

Useful state is buried inside script tags and encoded strings.

Generated class names keep changing

Build-specific CSS identifiers make selectors unstable.

Authentication expires mid-run

Long collections start returning login pages instead of records.

Filters reset on the next page

Pagination silently drops the category or sort state.

URL parameters create duplicate pages

Tracking, sorting, and session parameters multiply equivalent records.

The sitemap is stale or incomplete

Discovery misses new pages and keeps URLs that no longer exist.

Redirects change the record identity

Old and new URLs are stored as separate entities.

A crash leaves a partial dataset

The job cannot tell which pages completed before interruption.

Concurrency overloads the target

Too many parallel requests increase throttling and incomplete responses.

Browser memory grows without bound

Pages and contexts are not released during large collections.

Proxy failures create silent gaps

Missing pages look like absent data instead of transport errors.

Records have no stable identifier

Deduplication becomes unreliable when names and URLs change.

Source provenance gets lost

Normalized records no longer retain the URL and collection time.

Raw pages cannot be compared

Fields, text, and source context need normalization.

Selectors break after a redesign

A small DOM change makes CSS or XPath rules return nothing.

Infinite scroll stops too early

The job finishes before every page of results has loaded.

Pagination produces duplicate items

Overlapping pages return records that were already collected.

Cursor pagination repeats a page

An expired or reused cursor returns the same records again.

The hidden API requires a token

Direct JSON requests fail without page-generated headers or credentials.

Nested JSON is hard to flatten

Arrays and optional objects do not fit a stable table schema.

Optional values become empty columns

Missing prices, dates, or descriptions require explicit null handling.

Dates arrive without a timezone

Published and updated times cannot be compared reliably.

Relative links lose their host

Extracted URLs cannot be used until they are resolved against the page.

Data lives inside an iframe

Main-document selectors cannot reach content in a child frame.

Complex tables lose their structure

Rowspan and colspan cells no longer align after extraction.

Broken markup changes the parsed tree

Browsers repair invalid HTML differently from simple parsers.

Cookies are not shared across requests

Session-dependent pages return different content during the same job.

Forms require a fresh CSRF token

Replayed search or filter submissions are rejected by the server.

Product variants look like duplicates

Color and size URLs need a clear parent-child model.

Detail pages are not linked

Important records are reachable only through search or an internal API.

Soft 404 pages look successful

Missing records return HTTP 200 with an error message.

Retries write the same item twice

A failed acknowledgement causes successful extraction to run again.

Resume starts from the beginning

Missing checkpoints turn a small recovery into a full rerun.

Slow pages exceed the timeout

Heavy scripts or media delay the data needed by the parser.

Open connections exhaust system limits

Sockets or file descriptors accumulate under proxy concurrency.

Placeholder values pass validation

Unavailable and loading text is stored as real field content.

Change detection reports false updates

Layout, timestamps, or rotating widgets trigger noisy differences.

Research signals move quickly

Manual collection cannot keep pace with change.

What can the Dedicated Scraping API do?

Convert public pages into consistent, usable data so teams can spend less time copying information and more time comparing, analyzing, and acting on it.

Collect public platform pages

Work with approved public pages across Amazon, TikTok, YouTube, X, search engines, editorial sites, forums, and directories.

Choose the delivery format

Use HTML for document structure, Markdown for readable content, or JSON for fields and metadata that applications can consume.

Research product and market signals

Organize visible product, content, review, and search-page signals for category research, competitor analysis, and market monitoring.

Support content and social research

Analyze public videos, posts, captions, hashtags, topics, and visible engagement signals to understand conversations and formats.

Prepare data for AI workflows

Send clean public-page content and source metadata into RAG, AI agents, internal search, and research systems.

Keep collection responsible

Build tasks around public, permitted information and respect applicable laws, website terms, robots directives, and reasonable request rates.

EXTRACTOR LIBRARY

Choose a platform extractor, then the page template and parameters that fit the job

Dedicated Scraping API is not a one-shape scraper. Start from the platform and page type you need, then configure the supported request parameters for that extractor and scenario.

Product and marketplace extractors

Structure public product and marketplace research without forcing a review page, category page, or search result into the same response shape.

Example page templates

Product detailSearch resultsCategory listingReviews

Configured per extractor

Template selectionSupported request parametersOutput format

Video, hashtag, and creator extractors

Use a page template aligned with the public content surface being researched, from an individual video to a hashtag or creator view.

Example page templates

VideoSearch resultsHashtagProfile

Configured per extractor

Template selectionSupported request parametersOutput format

Video, channel, and comment extractors

Keep video, channel, search, and public comment research in the response shape that best preserves its source context.

Example page templates

VideoChannelSearch resultsComments

Configured per extractor

Template selectionSupported request parametersOutput format

Post, topic, and profile extractors

Select the public conversation surface first so downstream analysis starts with posts, searches, topics, or profiles in the right context.

Example page templates

PostSearch resultsTopicProfile

Configured per extractor

Template selectionSupported request parametersOutput format

The templates shown are common public-page research examples. Available templates, fields, and request parameters depend on the selected extractor and applicable platform rules.

From platform extractor to usable data in three steps

01
Select the platform and page template
Start with the public platform and page type—such as an Amazon product or a YouTube channel—rather than a generic one-size-fits-all request.
02
Configure the supported request parameters
Use the parameters available for that extractor and template, then choose HTML, readable Markdown, or structured JSON for the destination workflow.
03
Connect the response to your workflow
Send template-aware results to a database, analytics tool, spreadsheet, webhook, or AI knowledge workflow while retaining source context.

http_request_initiator.config

CONFIGURATION

TARGET ENDPOINT URLPOST

https://data.clawoxy.com/v1/web-scraper/task/create

User-Agent

Auto-Adaptive

Proxy Tunnel

Smart IP

Supports custom headers, cookies, and batch development.

When should you use Dedicated Scraping API?

Use Dedicated Scraping API when the question requires current public-page information from a platform or website—not just a list of search results.

Amazon product research

USE CASE

Review public product titles, prices, ratings, review counts, and category signals for assortment and competitor research.

TikTok and YouTube research

USE CASE

Study public videos, hashtags, creator pages, publishing patterns, and audience-facing content signals.

X conversation monitoring

USE CASE

Organize public posts, topics, timestamps, hashtags, and visible engagement signals for brand and market research.

Ecommerce competitor monitoring

USE CASE

Compare public product pages and listings to spot changes in visible pricing, positioning, reviews, and availability cues.

Trend validation

USE CASE

Pair Google Trends or Baidu Index signals with public product, video, and conversation data to validate research hypotheses.

RAG and AI research

USE CASE

Use approved public web content as current, traceable context for AI agents, RAG, internal search, and analyst workflows.

LIVE RESPONSE

View details

200 OK - 842ms

JSON

01{
02 "status": "success",
03 "url": "https://example.com",
04 "format": "markdown",
05 "content": "# Product title\n\n$49.00...",
06 "credits_used": 1
07}

Pay only for valid data

Clawoxy uses success-based billing: credits are consumed only when a request ultimately succeeds and returns valid content. Retries caused by blocked IPs, target-site errors, or timeouts do not consume credits.

View pricing

FAQ

Dedicated Scraping API is a programmatic interface for retrieving approved public web pages and returning their content in a format a system can use, such as HTML, Markdown, or JSON.