ScrapingDog review
Robust scraping with great pricing — our default for harder-to-scrape sites and our specialist for LinkedIn Ads scraping.
ScrapingDog is a general-purpose scraping API that handles bot-protection bypassing, JavaScript rendering, and anti-scraping defenses at fair pricing. We use it as our default for harder scraping work and specifically as our LinkedIn Ads scraping tool.
Last reviewed April 2026
The bottom line on ScrapingDog.
ScrapingDog is the workhorse of our scraping stack for anything Google-adjacent or harder. The pitch: robust enough to handle bot-protected sites, priced fairly enough to use generously, and reliable enough that it has earned the LinkedIn Ads scraping slot in our specific workflow. ScrapingDog and Cloro are the closest comparison in our stack — both are in the same band on robustness and pricing — and we end up using both depending on what's available, what's priced cleaner for the specific use case, and which one has handled the target site reliably in past work. Strong recommendation, with the standard scraping caveat that target sites change and any specific scraping use case needs validation in production.
Best for
- ✓Workflows needing scraping from bot-protected or JavaScript-heavy sites where simpler APIs return blocks or empty data
- ✓LinkedIn Ads scraping — our specific workflow uses ScrapingDog for this
- ✓Teams running variable monthly scraping volumes who need fair per-credit pricing
- ✓Operators who want one general-purpose scraping tool to handle multiple non-Google sources
- ✓Workflows where the alternative is building custom scraping infrastructure (proxies, retries, JavaScript rendering) that ScrapingDog handles for you
Not for
- ✕Google Search or Google Maps scraping — Serper is faster, cheaper, and more focused for those use cases
- ✕Teams that need a managed actor marketplace experience — Apify's actor model is a different fit
- ✕Workflows that need a single all-in-one platform — ScrapingDog is the API, not the workflow layer; pair with Clay or n8n for orchestration
What ScrapingDog actually does.
What ScrapingDog costs.
- Free credits to test API
- Full feature access
- Standard scraping + LinkedIn endpoints
- No card required
- Entry tier credit pack
- All API endpoints
- Standard support
- Most small teams start here
- Higher credit volume
- Priority support
- Where most active scraping teams land
- Better per-credit cost vs Lite
- Production scraping volume
- Dedicated support
- Custom rate limits
- For agencies running multi-client scraping at scale
The honest take.
- Great pricing — fair credit costs across general scraping, LinkedIn-specific endpoints, and JavaScript-heavy sites
- Robust against bot protection — handles defended sites where simpler scraping tools return blocks or empty results
- Same general value proposition as Cloro — both sit in the same band on robustness and pricing, which is why we use both
- Good at bypassing scraping protections — the API does the proxy management, retry logic, and JS rendering automatically
- Reliable in production — we run LinkedIn Ads scraping through it on real workflows and it holds up
- API design is clean enough to wire into Clay or n8n without much custom glue
- Not the right tool for Google Search/Maps — Serper is meaningfully better for those specific use cases
- Bot-protection bypassing is never bulletproof — target sites can change anti-scraping defenses, so any specific use case needs validation in production
- Pricing is fair but not the cheapest — Apify or RapidAPI sometimes have specific actor or API options that come in lower for narrow needs
Our experience with ScrapingDog.
ScrapingDog is the general-purpose scraping API in our stack — the one we reach for when a workflow needs data from non-Google sources, especially sites with bot protection or JavaScript-heavy content that simpler scrapers can't handle. We also use it specifically for LinkedIn Ads scraping, which is one of the workflows where ScrapingDog has consistently delivered for us.
Where ScrapingDog earns its slot in our stack
Three things keep ScrapingDog in active rotation. Robustness against bot protection — Cloudflare, proxy detection, JS challenges all handled at the API level rather than something we have to manage ourselves. Fair pricing — credit costs that scale reasonably for the kind of variable-volume work agency scraping involves. Reliability — production usage on LinkedIn Ads and other defended sites has held up over time, which is the only test that actually matters for a scraping tool.
ScrapingDog and Cloro are the same tool — sort of
ScrapingDog and Cloro sit in the same band on robustness and pricing. They're not literally identical, but for most general scraping needs they're substitutable. Our default workflow when a new scraping need comes up is to check both, evaluate availability for the specific target site, compare per-credit pricing for the specific use case, and pick based on whichever has handled the target reliably in past work. ScrapingDog has earned the LinkedIn Ads slot specifically; Cloro has earned the Google Ads transparency slot specifically. Beyond those specific assignments, the choice is per-workflow.
Where ScrapingDog isn't the right tool
Two clear places. First, Google Search and Google Maps — Serper is meaningfully better for those specific use cases (faster, cheaper, more focused). Second, when you need a managed actor marketplace experience with curated workflows — Apify's actor model is a different value proposition that fits some teams better than a raw scraping API. ScrapingDog is the right answer when you want a robust scraping API to wire into your own orchestration layer (Clay, n8n, custom scripts) rather than a managed platform.
The standard scraping caveat
No bot-protection bypassing is bulletproof. Target sites change anti-scraping defenses regularly, and any specific scraping use case needs validation in production before you bet a campaign on it. ScrapingDog's track record is good — we've run LinkedIn Ads scraping through it without major reliability issues — but this is true of all serious scraping tools: the right approach is to test the specific target site, monitor for changes, and have fallback logic if the primary scraper starts returning blocks. ScrapingDog handles this cleanly enough that we run production scraping on it; we wouldn't run an unmonitored scraping pipeline on any tool in this category.
Where ScrapingDog fits in the broader stack
Upstream of enrichment, alongside Cloro for general scraping needs. ScrapingDog provides scraped data that feeds into Clay for cleaning and enrichment, then routes through the standard outbound pipeline. Sibling tools: Serper for Google Search and Maps specifically, Cloro for the same general scraping needs ScrapingDog covers (we use both, picking per use case), Apify and RapidAPI for marketplace-curated scraping where actors or specific APIs match the use case better.
ScrapingDog alternatives worth comparing.
Cloro
Robust scraping at fair pricing — our specific tool for Google Ads transparency scraping and our co-default with ScrapingDog.
ZenRows
Bypasses everything and parses results nicely — used to be our default, but the premium pricing pushed us to ScrapingDog and Cloro.
Apify
GTM-focused scraping marketplace with native Clay integration — the tighter, more curated half of our scraping stack.
RapidAPI
The general-purpose API marketplace — broader catalog, developer-tier focus, our other default for scraping.
Frequently asked questions
Closely. Both are in the same band on robustness and pricing — they're substitutable for most general scraping needs. We use both actively and pick per use case based on availability, pricing for the specific target site, and which one has handled the target reliably in past work. ScrapingDog has earned the LinkedIn Ads slot in our specific workflow; Cloro has earned Google Ads transparency. Beyond those specific assignments, the choice is per-workflow rather than one always winning.
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