Google search scraping extracts search-result links, titles, snippets, and positions into a table. It helps build a shortlist of public pages for research. It does not extract all the information inside those pages or confirm that every result is a qualified lead.
Keep the query beside each result. That makes it easier to review why a page entered the list and to compare repeated searches later.
Choose queries that describe the records you need
For an agency list, try a service and location, such as marketing agency Austin, then inspect whether the results are agencies, directories, job posts, or articles. More results are useful only when they represent the right page type.
Google search operators can narrow the task. For example, site:instagram.com "fitness coach" "Paris" targets public pages on Instagram containing those phrases. It can still return posts or unrelated profiles, so open candidates before accepting them.
Google's search guide documents operators and exclusions. Test query changes on a small set before multiplying them across cities. A city in a snippet is not proof that a business operates there.
Generate search-result rows in Datablist
Use Multi Google Queries Scraper as a source. Enter one query per line in Google Search Queries, then configure Search Country, Search Language, and Limit Per Query.
For an illustrative batch, use marketing agency Austin, marketing agency Denver, and marketing agency Miami. Set a small limit for the first review, map the output properties, and start the import. The source creates result rows; it does not require a company URL in every existing row.
| Output | How to use it |
|---|---|
| Search Query | Retain the search that discovered the page. |
| Result Link | Open the original page and use it as a later extraction input. |
| Result Title and Result Snippet | Screen candidate relevance; confirm facts on the page. |
| Position | Interpret order within that configured search, rather than a universal ranking. |
Country, language, time, and query settings define the search context. Keep them with the batch when comparing later runs. A configured limit is a stopping boundary, not evidence that the list covers every business in a market.
Review, then extract page data
Separate accepted pages, irrelevant results, repeated links, and unresolved requests. Preserve useful query provenance before deduplicating repeated Result Links. Compare a sample with the original pages rather than treating a title or snippet as a current company record.
To inspect existing URL rows, use AI Agent with the URL mapped into a prompt and explicit expected outputs. AI Agent - Site Scraper serves a different workflow: it generates records from a listing page. Choose the workflow that matches your input and intended row shape.
Only after identity is established should you clean company names or look up contact details. See scraping multiple Google queries for setup and waterfall enrichment for the later contact lookup.
Before extracting repeated search results, use URL deduplication. Keep paths when each row represents a page, rather than one company per domain.