Google Scholar Scraper — Hosted Apify Actor

Hosted google scholar scraper that returns structured JSON without the captcha-solving, proxy-rotation, and site-update maintenance you'd otherwise own. Run it from the Apify Store with one click, or call it from your own service via the Apify API. Pay only for what you scrape — no monthly subscription.

What you get

• Structured JSON output — every google scholar scraper run returns clean, parseable records ready for analytics or downstream pipelines.
• Hosted on Apify — no servers, no proxies, no anti-bot maintenance. Click Run.
• Pay only for what you scrape — pricing scales with usage; no monthly subscription minimum.
• Multi-language support — set the language field to receive native-locale results.
• Built-in proxy rotation — IP blocks, captchas, and rate limits are handled for you.

Why use this google scholar scraper instead of ScraperAPI

ScraperAPI is a great tool, but it has trade-offs that this Apify Actor avoids:

• No subscription lock-in. ScraperAPI typically requires a monthly contract starting at $99-$449/month. This Actor charges per run — you can spend $5 on a one-off competitive audit and walk away.
• Direct dataset access. Instead of clicking through a dashboard UI to copy data, you get a machine-readable JSON dataset on every run. Pipe it straight into BigQuery, Snowflake, or your warehouse.
• Hosted scraping infrastructure. Apify handles proxy rotation, captcha solving, and retries — so you get the same data ScraperAPI returns, without paying for their reporting layer you may not need.
• No per-seat pricing. Anyone on your team can call the Actor's API; pricing is based on usage, not seats.

Input

Field	Type	Default	Description
queries	array	required	Academic search queries (e.g. 'attention is all you need', 'CRISPR gene editing 2024').
pages	integer	1	Number of result pages to scrape (10 results per page). Max 10.
hl	string	en	Language code (en, de, fr, es…).
use_cookies	boolean	True	Recommended.
use_proxy	boolean	False	Default OFF. Apify direct connection works for Scholar; only enable if you hit rate limits.

Output

Every run pushes results to the Apify dataset as JSON records. Each record contains the structured fields surfaced by the google scholar scraper — fields, IDs, timestamps, and any nested objects. You can:

• Download the dataset as JSON, JSONL, CSV, or Excel from the Apify console
• Stream results via the Apify API for use in your own application
• Pipe results to webhooks, S3, BigQuery, or any of Apify's 30+ integrations
• Diff today's run against yesterday's to detect changes (new entries, removed entries, modified fields)

Use cases for the google scholar scraper

Competitive monitoring

Use the google scholar scraper to pull your competitors' data daily. Diff against yesterday's run to detect price changes, new listings, or removed inventory.

Lead generation

Pipe google scholar scraper output into your CRM as enrichment — every record arrives with the structured fields your sales reps need.

Market sizing

Scrape an entire vertical's catalog with the google scholar scraper, then aggregate to size the addressable market by category, geo, or price band.

Internal dashboards

Schedule the google scholar scraper as a daily Apify task. Push results to BigQuery and visualize in your existing BI tool.

FAQ

Is this google scholar scraper free?

The Actor itself is hosted on Apify with pay-per-event pricing — you only pay for what you actually scrape. There's no monthly subscription and no minimum spend. The first few runs typically cost less than a coffee. For long-running daily jobs, your monthly bill scales with the volume of data you pull.

How does this google scholar scraper compare to existing tools?

Compared to ScraperAPI, this Actor returns the same structured data without the monthly subscription or per-seat pricing. You pay per run, not per month — which is dramatically cheaper for most teams that need data in bulk but don't need a dashboard UI.

What input does the google scholar scraper accept?

The full input schema is rendered as a form on the Apify Store page — you can run a job by filling out a few fields with no code. The schema also accepts raw JSON if you're calling the Actor via the Apify API from your own service. See the Input section above for the field list.

How accurate is the google scholar scraper data?

The Actor scrapes data directly from the source, so accuracy matches what a human user would see on the page. There's no third-party cache or middleware — every run returns the live state. If the upstream site throttles requests, the Actor handles retries and proxy rotation transparently and surfaces a structured error in the dataset's errors field rather than failing silently.

Can I run this google scholar scraper on a schedule?

Yes — Apify has built-in scheduling. You can set the Actor to run hourly, daily, or weekly, and pipe results to webhooks, S3, or your data warehouse via the Apify integrations. Most teams schedule the google scholar scraper as a daily task and incrementally diff against the previous run to detect changes.

Pricing

This google scholar scraper uses Apify's pay-per-event pricing — every successful record costs a small fixed amount, so your bill scales linearly with usage. There's no monthly subscription and no minimum spend. See the Apify Store page for the current per-event price; expect typical workloads to cost a few dollars per run.