seen from Germany
seen from Malaysia
seen from Australia
seen from United States
seen from Indonesia
seen from Ireland
seen from Germany
seen from Netherlands
seen from Germany
seen from Indonesia
seen from T1
seen from United States
seen from United States
seen from Germany
seen from United Kingdom
seen from South Africa
seen from Netherlands
seen from South Africa
seen from Türkiye
seen from Russia
TalorData SERP API — One API, Four Search Engines 🚀
Google · Bing · Yandex · DuckDuckGo
Structured JSON. Sub-second latency. Pay only for successful requests. Built for AI agents, RAG, and SEO automation.
💡 Try it free: https://talordata.com/?campaignid=v7TZNd8DfqmlfAP9&utm_source=tumblr&utm_term=tumblr
Anya is live and ready to show you everything. Watch her strip, dance, and perform exclusive shows just for you. Interact in real-time and make your fantasies come true.
Free to watch • No registration required • HD streaming
Hey — I'm Talordata. I spend most of my time in the web-data plumbing layer.
After one too many "SERP API" bills for calls that returned nothing — rate-limited, blocked, empty — my team and I built Talordata: a raw SERP API (Google / Bing / Yandex / DuckDuckGo) + a 70M+ residential proxy network (195+ locations), billed only on successful responses. $0.25–$1.00 per 1K calls.
I'll be posting the messy build notes here — proxy landmines, search-API war stories, what we broke and fixed. Occasionally the official updates too. Follow if that's your kind of rabbit hole. 👋
30 Days Using a Google SERP API: The SEO Traffic Results Shocked Me!
From faster keyword tracking to real-time competitor monitoring, this completely changed the way I handle SEO research in 2026.
If you’re still tracking rankings manually, you’ll probably relate to this experiment.
Read here 👇
SEO has become more competitive than ever in 2026. Every niche is crowded, rankings change constantly, and finding real keyword…
Ever feel like collecting SEO data takes way too much time and effort?
I recently found a super simple Python trick that can pull Google search results in just a few lines, and honestly, it’s a game-changer. It makes keyword research, rank tracking, and competitor analysis faster and way more efficient.
No complicated setup. No scraping headaches. Just clean, structured SERP data that you can actually use right away.
If you're into SEO, automation, or building smarter workflows, this is definitely something you don’t want to miss.
Check it out here:
Every developer who has tried scraping Google has hit the same wall. Your IP gets blocked within hours. Captchas appear every few requests…
I Stopped Guessing SEO Opportunities After I Started Using a SERP API
Most SEO tools summarize search.
SERP APIs expose search.
Big difference.
One gives metrics.
The other shows how Google actually structures opportunity.
That’s where the interesting stuff is.
#seo #serpapi #growth
Anya is live and ready to show you everything. Watch her strip, dance, and perform exclusive shows just for you. Interact in real-time and make your fantasies come true.
Free to watch • No registration required • HD streaming
Merchant feeds tell you what a seller wants Google to know.
Google Shopping SERPs show what the market actually looks like.
That gap matters.
Especially if you care about:
price monitoring competitor tracking product visibility ad placement marketplace intelligence
The feed is the input.
The SERP is the battlefield.
I used to think Google Shopping data was simple.
I used to think Google Shopping tracking was just “search product, copy price, repeat.”
Then I tried doing it across locations.
Everything changed.
Same keyword. Different city. Different sellers. Different prices. Different sponsored placements.
That is when Google Shopping stopped looking like a search page and started looking like a live market signal.
A Google Shopping SERP API is useful because it captures what buyers actually see, not just what merchants submit.
Most people compare SERP APIs and proxy networks like direct competitors.
I tested TalorData vs Oxylabs…
Honestly? They solve different problems.
One feels built for scraping.
The other feels built for AI-era search infrastructure.
Big difference.
