Fast Google Search Results Scraper
Pricing
$3.99 / 1,000 results
Fast Google Search Results Scraper
Paste keywords in bulk → get clean, clickable URLs. This ultra-lightweight Google SERP scraper is built for non-technical teams who need links fast for lead prospecting and market research. No giant payloads, no complex setup
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Pricing
$3.99 / 1,000 results
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Last modified
2 days ago
What this Actor does
Fast Google Search Results Scraper is a purpose‑built tool for quickly extracting URLs from Google Search results. You feed it multiple search terms (one per line), and it returns only two fields per result: term and url.
Unlike other tools that extract ads, titles, snippets, PAA, AI overviews and dozens of fields, this Actor is designed for speed, simplicity and downstream automation.
Who it is for
- GTM / SDR / Marketing Ops teams: Need to generate lists of partner‑links, prospect domains, or blog references rapidly.
- Competitive researchers / SEO assistants: Looking to seed URLs for deeper site‑crawling or backlink audits.
- No‑code / automation practitioners: Using Airtable, Make, Zapier, or other workflows—want a stable 2‑column dataset to plug into downstream tasks.
Quick start
- Paste your keywords in the Terms box (one per line).
- (Optional) Adjust countryTld, language, and toggle Mobile mode.
- Click Run → Download the dataset as CSV/JSON → Feed into your next tool.
Example Terms
site:.uk "Hair Care""Conditioner Bars""Hair Oil" OR "Hair tonic"
Input
| Key | Type | Default | Description |
|---|---|---|---|
terms | string (multi‑line) | — | One search query per line. Supports operators. |
pageSize | integer (1–10) | 10 | Number of results per page (Google limits to ~10). |
pageCount | integer (1–30) | 10 | Pages to fetch per term (start = pageIndex * pageSize). |
countryTld | enum | com | Google domain suffix for localization. |
language | enum | en | UI language (hl) that may affect ranking. |
useMobile | boolean | false | Use mobile‑user agent for mobile SERP extraction. |
Output (Dataset)
The output dataset contains exactly two fields:
term— the search query usedurl— the result URL (string, format: URI) This minimal schema keeps your output predictable, small‑footprint, and easy to chain into spreadsheets or pipelines.
FAQ
Q: Does it extract ads, titles, snippets, People Also Ask or AI overviews?
A: No. This Actor outputs only term + url for speed and simplicity. If you need richer metadata, use a full‑feature SERP Actor.
Q: Why is the result per page capped at 10?
A: Google no longer supports high num values like 100. Pagination via pages is the stable approach. ([Apify Blog][1])
Q: How do I get localized results?
A: Set countryTld, language, and use a country‑targeted proxy.
Q: Is this suitable for no‑code automation?
A: Yes — its fixed 2‑column schema means fewer surprises when automating (Sheets, Airtable, Make, Zapier).
Comparison (Why minimal vs full‑feature)
| Feature | Full‑feature SERP scrapers | This Actor (URL‑only) |
|---|---|---|
| Fields extracted | Titles, snippets, ads, PAA, AI overviews | Just term + url |
| Setup & config complexity | Higher (many toggles/options) | Very low |
| Output size / dataset weight | Larger and heavier | Lightweight, predictable |
| Ideal for automation | Can be more brittle for pipelines | Ideal for “seed URL lists” |
| Ideal for first‑step workflows | May over‑deliver for simple needs | Focused precisely on first hop |
If you’re just gathering URLs to feed into downstream tools (enrichment, crawling, outreach), this Actor delivers faster and with less noise.
🔥 Next step: Crawl and analyze the URLs you just collected
If you want to extract, analyze, or feed the page content into AI tools, check out my latest Actor:
Fast Website Content Crawler
A high‑performance web scraper that rapidly extracts and analyzes content from multiple URLs simultaneously.
Perfect for competitive research, content aggregation, and website structure analysis.
Use it right after Fast Google Search Results Scraper —
1️⃣ collect URLs → 2️⃣ feed them into Fast URL Content Crawler → 3️⃣ get structured text data ready for enrichment or AI workflows.
