Actionist·Autom
Autom

Autom

· #334 most-used

Search the web at scale — one API key, every engine

MarketingAnalyticsDeveloperAIAutomation

Autom is a SERP API platform that lets your agents query Google, Bing, Brave, and Perplexity through a single, credit-based API. Every call returns clean, structured JSON — organic results, images, videos, news, shopping listings, jobs, and maps data — so agents can monitor search rankings, track competitors, research prospects, gather price intelligence, and surface news without building or maintaining a scraping stack. Authentication is a single API key; there are no per-service credentials, no rate-limit surprises, and failed calls never consume credits.

Try Autom with ActionistVisit Autom
Average time saved
7 hours
per person · per month
≈ 1 workdays back

Eliminates manual work. Agents replace manual browser-based research across seven teams — SERP monitoring, price surveys, news sweeps, and salary benchmarking — each a repetitive query task that Autom's structured API eliminates entirely.

Schedule

What your Autom agent runs on autopilot

A week of scheduled jobs your Actionist agent will execute on your behalf.

28Scheduled jobs
7Agents at work
24/7Always on
Agents
Tue–Thu
Tue
Wed
Thu
7a
8a
9a
10a
11a
12p
1p
2p
3p
4p
5p
6p
Multi-app workflows

Autom × every other app you use

End-to-end automations that span multiple apps — each one a real business outcome.

6Workflows
5Apps spanned
~15 hrsSaved / week
5Personas served
For marketing
Featured3 apps

Weekly keyword rank tracker written to Google Sheets

Every Monday the Marketing Agent reads the keyword list from Sheets, queries both Google and Bing via Autom, writes fresh rank data back to the spreadsheet, and posts a movement summary to Slack — giving the SEO team a weekly rank snapshot without any manual dashboard time.

~2 hrs

Time saved for your team — every week, on autopilot

The flow
Trigger·When the Monday 8 AM weekly rank-tracking scheduled agent task fires
Trigger
Step 1
Google Sheets
Read the keyword list from the rank-tracking spreadsheet
read
Step 2
Autom
Run Google Search for each keyword, recording position and URL of the brand's organic listing
read
Step 3
Autom
Run Bing Search for the same keywords to compare cross-engine rank differences
write
Step 4
Google Sheets
Append this week's rank data — keyword, Google position, Bing position, date — as new rows in the tracker
write
Step 5
Slack
Post a ranked summary of the top 5 keyword movements (biggest gains and drops) to #seo-tracking
Result
Append this week's rank data — keyword, Google position, Bing position, date — as new rows in the trackerPost a ranked summary of the top 5 keyword movements (biggest gains and drops) to #seo-tracking
The win
Saved per run
~2 hrs
Runs / week
~1×
Consistent multi-engine rank data, zero manual SERP checking
Driven byMarketing Agent
ROI

Savings

What your team gets back — two angles: what you stop doing manually, and what that's worth.

Without Actionist

What you do manually today

With Actionist

What your agent runs for you

  • Sales
    120 min / week
    Manual prospect research

    Reps open 3-5 browser tabs per prospect before each call — Google News, LinkedIn, the company site — spending 20 minutes assembling context that expires by the next call.

    Sales Agent
    0 min
    Agent delivers a research brief to each deal record

    The Sales Agent queries Google News and Google Jobs for every open deal each Monday, writing a structured brief to the CRM record so reps walk in with current context and zero manual research.

  • Marketing
    90 min / week
    Manual keyword rank checking

    The SEO team manually googles each target keyword, records positions in a spreadsheet, and calculates week-over-week change — a 90-minute task every Monday that competes with actual optimisation work.

    Marketing Agent
    0 min
    Agent logs rank data automatically across engines

    The Marketing Agent queries Autom for all target keywords each Monday and appends structured rank data to the tracking sheet, with movement alerts posted to Slack before the team's first meeting.

  • Customer Support
    45 min / week
    Reactive issue discovery

    The support team learns about widespread bugs or vendor outages only when tickets pile up — by which point customers are already frustrated and the team is playing catch-up.

    Customer Support Agent
    0 min
    Agent surfaces known issues before tickets arrive

    The Support Agent queries Google News and Google Search for product and vendor issues each Monday morning, briefing the team on known problems before the first ticket of the week lands.

  • Human Resources
    60 min / week
    Manual salary benchmarking

    Recruiters spend 30-45 minutes per role visiting job boards and salary sites to compile a compensation benchmark, with data that is already out of date by the time the offer goes out.

    Human Resources Agent
    0 min
    Agent generates a salary benchmark for every requisition

    When a new job requisition is created, the HR Agent queries Google Jobs for current salary ranges in competitor postings and writes a benchmark section to the requisition doc within about a minute.

  • Finance
    60 min / week
    Manual competitor price checking

    The finance team visits Google Shopping manually for key competitor SKUs before each pricing review, copying prices into a spreadsheet in a process that takes 40-60 minutes per week.

    Finance Agent
    0 min
    Agent runs the price survey automatically before each review

    The Finance Agent queries Google Shopping for all monitored SKUs each Monday and Thursday, appending structured price data to the tracker before the commercial review meeting starts.

  • Operations
    35 min / week
    Periodic manual brand monitoring

    Brand monitoring happens quarterly at best — a team member spends hours checking brand presence across Google, Bing, and image search, producing a snapshot that's stale before it's presented.

    Operations Agent
    0 min
    Agent delivers a weekly cross-engine brand report

    The Operations Agent queries Google, Bing, and Brave for the brand name every Friday, compiling a cross-engine presence report and flagging any engine where negative content has entered the top 10.

  • Legal
    60 min / week
    Reactive regulatory monitoring

    Legal counsel relies on email newsletters and occasional manual searches to stay current on regulatory developments — gaps between reads mean the team sometimes learns about relevant changes too late.

    Legal Agent
    0 min
    Agent runs a structured regulatory sweep every Monday

    The Legal Agent queries Google News and Brave for all monitored regulatory topics each Monday, logging new articles to the legal tracker and posting a briefing to counsel before the first meeting of the week.

+ 100s of other Autom automations
Average time saved
47 hrs / person / month
Calculator

Calculate what your team saves

Team size
5 people
Hourly rate
$75 / hr
Hours saved / week
9
Hours saved / year
450
Annual ROI
$33,750

Based on Autom's typical team usage — the visible tasks plus a few other automations the agent runs: ~1.8 hrs / person / week of admin work automated.

Connect

How to plug Autom into Actionist

Pick the connection method that suits your environment.

Autom uses a single API key for all endpoints. Pass it in the x-api-key header and every search engine endpoint is immediately available. Free tier includes 1,000 complimentary requests.

1
Open the Autom Dashboard

Go to autom.dev, sign up or sign in, and open the Dashboard.

2
Copy your API key

Navigate to the API Keys section. Copy your key — it authenticates against every Autom endpoint.

3
Paste into Actionist

Paste the key into the field below and click Test connection. Actionist runs a free usage call to confirm authentication.

Credentials you'll need
API key*
Sign in to autom.dev → Dashboard → API Keys. Copy your key and paste it below.
Actions

12 actions your agent can call

Read and write operations available to your Actionist agent.

Triggers

0 events your agent can react to

Events your agent watches for, and the actions it kicks off in response.

This app has no triggers yet.
FAQs

Questions about Autom + Actionist

How does Actionist connect to Autom?
Go to the Apps tab, find Autom, and click Connect. Autom uses a single API key for authentication. Sign in to autom.dev, open your Dashboard, and copy your API key from the API Keys section. Paste it into the Actionist connection field and click Test connection — Actionist runs a free usage call (which never consumes credits) to confirm the key is valid. Once connected, all Autom search endpoints are immediately available to your agents.
Which search engines can Autom query through Actionist?
Autom currently supports Google (web, news, images, videos, shopping, maps, jobs, autocomplete, and a lightweight Google Light variant), Bing, and Brave. Each engine is a separate action in Actionist, so your agent can query multiple engines in the same workflow and compare results across them. The underlying Autom account only needs one API key regardless of how many engines you use.
Does each Autom API call consume a credit even if the agent runs it frequently?
Yes, each successful search request consumes one credit from your Autom balance. Failed calls — 400 bad request, 401 authentication errors, 500 server errors — do not consume credits. Only successful responses (200) and certain 404 responses are billed. To manage credit burn in high-frequency agent tasks, consider using the Check API Usage action as a pre-flight check before running large batches. Autom's pricing starts at $0.001 per search, and the free tier includes 1,000 complimentary requests.
What does Autom return for a Google Search call — is it raw HTML or structured data?
Autom returns structured JSON for every endpoint. A Google Search response includes organic results with title, URL, domain, snippet, and position, plus knowledge graph data when available, and pagination metadata showing the current page and whether additional pages exist (up to page 10). There is no HTML to parse and no headless browser to maintain — the JSON is typed and consistent across calls. Your agent can read the fields directly.
Can I use Autom to track product prices on Google Shopping through Actionist?
Yes. The Google Shopping Search action returns structured product listings including price, merchant name, product rating, review count, product ID, and image URL. You can schedule the agent to query competitor SKUs on a weekly cadence, log the price data to a Google Sheet or database, and trigger a Slack alert whenever a price moves more than a threshold percentage. This gives you a continuous price-monitoring workflow without building or maintaining a shopping scraper.
How do I make sure my agents don't exhaust Autom credits mid-campaign?
Use the Check API Usage action before high-volume batch runs. It retrieves your remaining credit balance, per-minute and per-second rate limits, and quota percentage consumed for the billing period — and it never costs a credit. For ongoing monitoring, schedule a weekly or mid-week credit check agent task that posts the balance to a Slack channel and creates an alert if the projected burn rate will exhaust credits before renewal. You can also set per-key custom quotas inside your Autom dashboard to cap individual API keys.
Does Autom support location and language filtering for search queries?
Yes. The Google Search, Google News, Google Images, and most other Google endpoints accept 'gl' (country/geolocation) and 'hl' (language) parameters. For example, you can query Google Search with gl=de and hl=de to retrieve results as they appear to a German-language user in Germany, or combine with location-specific terms to get localised SERP data for multi-market rank tracking. The Autom documentation also exposes Google Locations, Google Languages, and Google Countries utility endpoints to programmatically look up valid parameter values.
Are there webhooks or triggers available from Autom — can it push data to Actionist?
Autom is a request-driven SERP API — it responds to queries rather than pushing events. There are no native webhooks or event triggers from the Autom platform itself. In Actionist, you replicate event-driven behaviour by scheduling agent tasks on a regular cadence: the agent queries Autom, compares new results against a stored baseline, and fires downstream actions only when the results have changed. This polling pattern is the standard approach for building monitoring workflows on top of a SERP API.