How do I use Python for automated web scraping to gather linguistic data for my dissertation at UC Berkeley without getting blocked?
Download run
Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
How do I use Python for automated web scraping to gather linguistic data for my dissertation at UC Berkeley without getting blocked?
2 real searches · 1 real-search pass
Badge and edge weight = share of passes that produced the query. Hover a query for its intent and routing format.
Query classes
Google's semantic query class for every sub-query: what kind of answer each search is after, simulated vs real.
ChatGPT real searches (2)
Classes come from the query-classifier (a local Laya model). 2 of 2 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.
Searches and sources
ChatGPT2 real searches · gpt-6
UC Berkeley research data management web scraping policy automated access robots.txt research ethics linguistic data Google ↗
Python Requests documentation timeouts Beautiful Soup documentation robots.txt Scrapy AutoThrottle Google ↗
- Before you scrape and before you train… · update.lib.berkeley.edu
- Conditions of use and licensing restrictions for electronic resources · live-lib-d9.pantheon.berkeley.edu
- Home - Text Mining and AI Research Resources · guides.lib.berkeley.edu
- Quickstart · docs.python-requests.org
- Requests: HTTP for Humans™ · docs.python-requests.org
- Data technologies, formats, and structures · stat243.berkeley.edu
Queries
2 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
UC Berkeley research data management web scraping policy automated access robots.txt research ethics linguistic data OBSERVED | Google ↗ AI Mode ↗ | — | Reason | — | — | 1x of 1 | |
Python Requests documentation timeouts Beautiful Soup documentation robots.txt Scrapy AutoThrottle OBSERVED | Google ↗ AI Mode ↗ | — | Reason | — | — | 1x of 1 |