A no-code scraping tool that lets you pull structured data from a web page just by clicking the information you want. A Chrome extension automatically detects list structures on the page, and the results can be downloaded as CSV, JSON, or Markdown. Extraction setups are saved as “scrape recipes” that can be reused for cloud runs, multi-page scraping, and scheduled jobs. In addition to integrations with Google Sheets, Airtable, Zapier, and Make, extracted data can be retrieved through an API, so collected data can flow straight into existing workflows. Built in Lithuania and released in December 2019, it has since expanded into AI-assisted data cleanup and an MCP server for AI agents.
Key Features
- Select data by clicking: Launch the browser extension and click an element on the page, and the tool detects every item sharing the same structure. For list pages such as product catalogs, job listings, or search results, you can extract data column by column without knowing CSS selectors
- Save and reuse scrape recipes: Once built, an extraction setup is stored as a recipe and can be reused on other pages of the same site or for later re-runs. Recipes can be created from the browser extension or through Smart Extract, which infers the structure with AI
- Multi-page and infinite scroll support: Paginated listings and pages that load more content as you scroll can both be followed with configuration. Cloud runs can process up to 5,000 URLs per scrape recipe
- Cloud runs and scheduling: Scrapes run in the cloud without keeping a browser open. With scheduling enabled, changes in prices or stock levels can be collected automatically on a daily or weekly basis
- AI-assisted cleanup and enrichment: Extracted data can be transformed and enriched with AI, which helps with generating column names and normalizing inconsistent formatting. Converting a whole page into Markdown is also supported
- API, integrations, and MCP server: An extract API and a screenshot API are available, with asynchronous execution and cursor-based pagination. Beyond delivery to Google Sheets, Airtable, Zapier, Make, webhooks, and email, an MCP server lets AI agents call the service directly
Pricing
There is a free plan, and paid plans are tiered by the number of monthly scrape credits.
| Plan | Monthly price | What’s included |
|---|---|---|
| Free | $0 | 100 credits per month, core extraction features |
| Plus | $35 | 6,000 credits per month, recipe storage, priority email support |
| Pro | $70 | 15,000 credits per month, Google Sheets/Airtable sync, scheduled scraping |
| Higher tiers | Up to $249 | Scaling up to 100,000 credits per month |
| Premium | Contact sales | Custom plans for large-scale use |
Pricing is as of August 2026. Credit consumption rules and plan tiers may change, so check the pricing section on the official site for the latest details.
Pros & Cons
✅ Pros
- Turns listing pages into data with clicks alone, no programming knowledge required
- Recipes make it a good fit for extractions you need to repeat again and again
- Cloud runs and scheduling automate ongoing, monitoring-style data collection
- Data can be pushed directly into Google Sheets, Airtable, Zapier, or Make, leaving little manual work afterward
- An API and MCP server open the door to use from developer tooling and AI agents
- The free plan lets you try the workflow before committing to a paid tier
⚠️ Cons
- The credit-based model makes costs harder to predict once you handle large volumes of pages
- Saved recipes need fixing when the HTML structure of the target site changes
- Pages behind logins or protected by advanced bot mitigation can be difficult to handle
- Documentation and support are English-only, so operating and contacting support in English is assumed
- Whether scraping is permitted depends on each site’s terms and applicable law, which users must verify themselves
Comparison with Similar Services
| Criteria | Simplescraper | Octoparse | Browse AI | Apify |
|---|---|---|---|---|
| Main interaction | Click selection via browser extension | Visual setup in a desktop app | Recording browser actions (robots) | Running prebuilt actors plus custom code |
| Target users | Non-engineers to developers | Mainly non-engineers | Mainly non-engineers | Mainly developers |
| Cloud runs | Yes | Yes | Yes | Yes |
| Scheduling | Yes (paid plans) | Yes | Yes | Yes |
| API access | Extract API, screenshot API, MCP server | API available | API available | Extensive (API-first platform) |
| Free plan | Yes | Yes | Yes | Yes (credit-based) |
For a light start, Simplescraper and Browse AI are the easier options; once complex crawling or custom logic is required, a developer-oriented platform such as Apify fits better.
Who Is It For
- Marketers and e-commerce staff who need to track competitor prices or product listings regularly without development resources
- Researchers collecting data mechanically from listing pages such as job boards or real estate portals
- Anyone who manages collected data in Google Sheets or Airtable and wants to move straight into analysis
- Developers who want to expose simple data collection as an API for their own tools or AI agents
- Anyone who wants to validate feasibility on a free tier before investing further
Summary
Simplescraper combines a low barrier to entry — clicking elements in a browser extension — with operational depth through recipes, cloud runs, an API, and an MCP server. For repeatedly pulling data from listing pages, it automates routine work without writing code. On the other hand, the usage-based credit model, changes in target site structure, and each site’s terms of use all need to be taken into account. Start with the free plan to confirm your target sites can be scraped reliably, then pick a tier matching the credit volume you need once it goes into regular use.