Turn competitor prices, SERP data, and web signals into automatic bid adjustments and keyword updates inside Google Ads.
Apify scrapes rival pricing on schedule so your bids reflect real market conditions instantly.
Surface keyword opportunities from competitor pages and push them directly into your ad groups.
Neotask reads Apify datasets and writes to Google Ads automatically, cutting out copy-paste entirely.
Scrape competitor prices daily and raise or lower target ROAS bids based on whether you hold a price advantage.
Extract phrases from competitor meta tags and product pages, then add high-value gaps to your active campaigns.
Monitor top-ranking ad headlines with Apify actors and update your responsive search ads to stay competitive.
Watch inventory pages for out-of-stock products and automatically pause the corresponding ad groups.
Combine Apify actor logs with Google Ads performance data for a single weekly competitive summary.
Connect your Apify account and Google Ads account to Neotask using API tokens and OAuth - Neotask inspects your actor output schema automatically.
Describe your automation rule in plain language, such as 'scrape competitor prices every morning and adjust my target ROAS bids based on price position' - no code needed.
Neotask runs the Apify actor on schedule, reads the dataset, and applies bid or keyword changes to Google Ads with the guardrails you set.
| Action | Apify | Google Ads |
|---|---|---|
| Run Actor | Yes | - |
| Read Dataset Items | Yes | - |
| Schedule Actor | Yes | - |
| Get Actor Run Log | Yes | - |
| Update Campaign Bidding | - | Yes |
| Add / Pause Keywords | - | Yes |
| Enable / Pause Campaign | - | Yes |
| Update Responsive Search Ad Assets | - | Yes |
| Get Campaign Performance Report | - | Yes |
Google Ads rewards relevance. The closer your bids, audiences, and creatives match real-world conditions, the lower your cost-per-click and the higher your conversion rate. The problem is that market conditions change constantly - competitor prices shift, new keywords emerge, and inventory fluctuates - and manually keeping your campaigns aligned is a full-time job.
Apify solves the data collection side. Its library of actors can scrape product pages, SERP results, business directories, and event sites on any schedule. What it cannot do on its own is act on that data inside Google Ads. That gap is where Neotask comes in.
Neotask reads your Apify dataset output, interprets the structured fields, and maps them to the Google Ads parameters you care about. Describe the rule in plain language - "if my price is lowest, raise the ad group bid by 15%" - and Neotask builds the automation without code. The same approach works for keyword management, ad copy updates, and campaign status changes.
Most advertisers using web scraping tools export CSVs and manually update campaigns once a week. By the time those updates land, the market has moved again. Connecting Apify directly to Google Ads through Neotask means your campaigns respond to competitive signals within hours, not days.
You keep control through configurable guardrails: maximum bid change per run, minimum dataset row count before acting, and campaign-level exclusions for anything you want to manage manually. Start in review mode to approve each proposed changeset, then switch to fully automated once the logic proves out.
No coding is required. Connect your Apify account and Google Ads account to Neotask using standard API token and OAuth flows. Neotask inspects your actor output schema and asks you to confirm field mappings before any automation runs.
Start in review mode so Neotask surfaces proposed bid changes each morning for your approval before going fully automated.
Set a minimum dataset row count threshold so automation only fires when your Apify actor returns a statistically meaningful scrape.
Use campaign-level exclusions to protect any high-spend campaigns you want to manage manually while automating the rest.
The most impactful actors fall into three categories: competitor price scrapers that inform Smart Bidding, SERP scrapers that monitor competitor ad copy and keyword presence, and inventory scrapers that trigger campaign pausing. Neotask works with any Apify actor that stores output in an Apify dataset - it reads the dataset fields and maps them to Google Ads parameters you specify.
Yes. Neotask can run in review mode, where it prepares bid adjustments and presents them as a proposed changeset each morning. You approve with a single confirmation. Once you're confident in the logic, switch to fully automated mode. You can also set guardrails such as maximum bid change percentage per run and campaign-level exclusions.
No coding is required. You connect Apify and Google Ads using standard OAuth and API token flows. Neotask inspects your actor output schema and asks you to confirm which fields map to which Google Ads parameters before any automation runs. The only requirement on the Apify side is that your actor stores output in an Apify dataset, which is the default behavior for most actors.
As frequently as your Apify plan allows. You can schedule actors to run hourly, daily, or on custom intervals. Neotask picks up the latest dataset output after each run and applies the configured Google Ads changes on the same schedule.
Every price change, new ad headline, and out-of-stock event on the web is a signal you could be acting on. Neotask connects Apify's scraping power to your Google Ads campaigns so competitive intelligence becomes automatic bid strategy.
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