Glossary

A way for your tools to talk to Outscraper programmatically so you can automate scraping, enrichment, and exports.

The reference guide that shows how to authenticate, call endpoints, and understand the data Outscraper returns.

A specific API URL you call to run a task (like Google Maps scraping) and get structured results back.

A private token used to authenticate your API requests and track usage.

The step where you prove your identity (usually with an API key) before accessing an API.

Finding and qualifying businesses that match your ideal customers so you can reach out with an offer.

A Business Development Representative who sources and qualifies leads before handing them to sales.

The percentage of emails that fail to deliver, often due to invalid or risky addresses.

A lightweight tool inside your browser that helps trigger or assist data extraction without writing code.

Downloading a large dataset at once (often as CSV/Excel) so your team can use it in outreach or analysis.

A segment of local businesses with no website listed, often high-opportunity leads for agencies.

A challenge used to block automated traffic that scrapers often need to handle responsibly.

A Google Maps identifier often found in URLs that helps reference a specific listing reliably.

Running scraping jobs on cloud infrastructure so tasks can scale beyond a single laptop or browser.

An outbound email sent to a prospect you haven’t contacted before, usually personalized and value-focused.

Reaching prospects via email, calls, or LinkedIn using targeted lists and a clear offer.

Latitude and longitude values that pinpoint a place on a map for targeting and geocoding.

A system where your team stores leads, tracks outreach, and manages pipeline stages.

A simple spreadsheet file format commonly used for exporting and importing lead lists.

Fixing messy fields (names, phones, addresses) so your dataset is consistent and usable.

The natural aging of contact data as emails, numbers, and business details change over time.

Adding missing or extra fields (like website, category, emails) to make a lead list more complete.

Collecting data from a source and converting it into structured fields you can use.

Keeping datasets accurate and usable through validation, cleanup, and regular refreshes.

A repeatable workflow that collects, cleans, enriches, and ships data to your tools (CRM, sheets, etc.).

How accurate, complete, and consistent your scraped or enriched dataset is.

A tool that collects specific data fields from a source and outputs them in a structured format.

Checking that fields like emails, phones, and addresses follow rules and are likely usable.

Removing duplicates so the same business or contact doesn’t appear multiple times in your list.

How likely your emails are to land in the inbox instead of bouncing or going to spam.

Creating a structured database of businesses (often by niche + location) for SEO, sales, or research.

A website’s main name (like example.com) that often ties to company identity and email addresses.

A core contact field used for outreach, enrichment, and CRM list building.

A spreadsheet format many teams use to clean, segment, and share exported lead and review datasets.

Downloading data into an Excel-friendly file so teams can filter, tag, and report quickly.

The act of pulling raw information from a source and turning it into structured fields.

Company attributes like industry, size, and location used to segment and prioritize leads.

Short for Google Business Profile, the listing that powers local visibility on Google Search and Maps.

Turning an address into coordinates so you can map or target locations accurately.

The older name for Google Business Profile that many marketers still use in day-to-day conversations.

A business listing on Google that appears in Search and Maps with NAP details, categories, photos, and reviews.

Google’s mapping platform where business listings, reviews, and local discovery data live.

The categories shown on Google Maps listings that help you segment markets and build targeted lists.

A listing-specific identifier that helps pinpoint a business in Google Maps even if names change.

Public ratings and written feedback tied to a Google Business Profile used for reputation and local analysis.

A way to retrieve review data programmatically for dashboards, alerts, and reporting.

An API for retrieving search results programmatically (often via third parties) for automation and reporting.

A browser that runs without a visible UI, often used to automate scraping more reliably.

Past traffic or busyness signals used to spot trends, seasonality, and changes over time.

A clear description of the businesses you’re targeting so your lead lists and outreach stay focused.

A common structured data format APIs use to return clean, machine-readable results.

A potential customer record (business + contact fields) used for outreach and sales pipelines.

A stored collection of leads that you can segment, enrich, and use across campaigns.

A tool that turns listings into a downloadable lead list with key fields like phone, website, and category.

The process of identifying and collecting prospects so you can reach out and book calls or sales.

Ranking leads by fit and intent so your team prioritizes the best prospects first.

A tool that collects business/contact data and outputs it as a lead list for outreach.

Automating the collection of lead data from sources like Google Maps to build lists faster.

Creating targeted prospect lists (by niche + location) for outbound campaigns or agency outreach.

A scraper focused on collecting local business listings and contact fields for a chosen area.

Using local business data (categories, reviews, density, traffic) to understand a market or area.

The map-based set of local listings shown in Google Search for local-intent queries.

The core identity fields of a local business listing used for matching and consistency checks.

Standardizing data formats (phones, addresses, casing) so records are consistent across a dataset.

Splitting large results into pages so you can fetch all records across multiple API calls.

A contact field used for calling prospects, enrichment, and validation.

A tool/service that validates phone numbers so your contact data is cleaner and more usable.

Google’s unique identifier for a place that helps match and track the same business reliably.

Finding the right Place ID for a business so you can link records across tools consistently.

Google’s estimated busyness-by-hour data for a place, useful for comparing demand across locations.

Searching for businesses that match your target criteria and adding them to your outreach pipeline.

An intermediary server used to route requests, often improving reliability for large-scale scraping.

Rules that cap how many requests you can make in a time window to keep systems stable and compliant.

Converting coordinates into a real address or place so your data is easier to segment and map.

Pulling reviews into structured fields (rating, text, date) so you can analyze them at scale.

Tracking new reviews over time so agencies can alert clients and spot reputation changes.

A summary of whether reviews are mostly positive, negative, or mixed based on review text.

To automatically collect data from an online source and turn it into structured records.

A tool that automates collecting data from a source and outputs it into usable fields.

The automated process of extracting data from online sources at scale.

A Sales Development Representative who qualifies leads and books meetings for sales teams.

A distance setting used to collect businesses within a defined area around a point.

A Search Engine Results Page, where Google shows results for a query (organic, ads, local pack).

An API that returns search results in structured form so you can automate SERP collection.

A validation step that confirms fields (like emails) follow the correct format.

An API used to pull traffic-related signals for routing, planning, or analytics.

Signals about movement or congestion used to compare areas and understand accessibility.

Automated discovery and navigation of pages to find data across many URLs.

A tool that extracts structured data from web pages into formats like JSON, CSV, or tables.

An automated notification sent to your system when a job finishes, so you can trigger the next step.